ABSTRAK
ECG atau elektrocardiogram merupakan suatu perekaman aktivitas listrik
dari pola sinyal detak jantung. Aktivitas listrik dari sel yang dicatat secara grafik
dengan perantaraan elektroda intrasel disebut dengan potensial aksi. Aktivitas
listrik dari semua sel miokardium secara keseluruhan dapat dilihat dalam suatu
electrocardiogram. Dengan mengetahui pola sinyal detak jantung, maka dapat
diamati keadaan jantung seseorang.
Jaringan Saraf Tiruan Berarsitektur Multiple Multilayer Perceptrons,
digunakan untuk klasifikasi kelainan jantung. Data kelainan jantung diproses awal
dengan transformasi wavelet. Data kelainan jantung yang digunakan didapat dari
MIT-Arrhythmia database, dipilih empat kelainan jantung yaitu : supraventricular
ectopy, ventricular ectopy, supraventricular arrhythmia, dan ventricular
tachyarrhythmia, data diolah menggunakan JST berarsitektur Multiple MLP,
Feed-Forward Backpropagation. MLP pertama berisi data kelainan jantung
supraventricular ectopy, ventricular ectopy, MLP kedua berisi data kelainan
jantung supraventricular arrhythmia, dan ventricular tachyarrhythmia
Hasil simulasi untuk MLP pertama dan kedua, jika data uji sama dengan
data latih maka rata-rata persentase keberhasilan 100 % dengan semua kombinasi
neuron. Rata-rata persentase keberhasilan MLP pertama data sadapan MLII,V1,
jika data uji berbeda segmen dengan data latih maka persentase keberhasilan
92,12 % - 95,48 % dengan berbagai kombinasi neuron, jika data uji berbeda
subyek dengan data latih maka rata-rata persentase keberhasilan 56,67 % - 63,81
% dengan berbagai kombinasi neuron.
Rata-rata persentase keberhasilan MLP kedua data sadapan Sig 0 jika data
uji berbeda segmen dengan data latih adalah 94,05 % – 95,24 % dengan berbagai
kombinasi neuron, jika data uji berbeda subyek dengan data latih maka rata-rata
persentase keberhasilan adalah 85,24 % - 88,33 % dengan berbagai kombinasi
ABSTRACT
ECG or elektrocardiogram is a record of heart signal pattern in electrical
form. Electric activity from cell which noted graphically by the intracellular
electrode called, action potential. Electrics activity from all miocardium cells can
be seen in an electrocardiogram. Analyzing the heart signal pattern, can done to
know the function of heart. Arrhythmia classification using Multiple Multi Layer
Perceptrons Neural Network. Arrhythmia data in first step process using wavelet
transformation.
Arrhythmia data is take from MIT-Arrhythmia database, selected four
arrhythmia, which supraventricular ectopy, ventricular ectopy, supraventricular
arrhythmia, and ventricular tachyarrhythmia, arrhythmia in proses using Multiple
Multi Layer Perceptrons Neural Network, Feed-Forward Backpropagation
Network. The entry of first MLP is supraventricular ectopy and ventricular
ectopy, the second MLP entry is supraventricular arrhythmia and ventricular
tachyarrhythmia
The result of first MLP and second MLP when examination subject is the
same with the exercise subject from the same segment, the average percentage
recognition is 100% with all neuron composition. Average percentage recognition
first MLP data record of MLII,V1, when examination subject is the same with the
exercise subject but from different segment is 92,12 % - 95,48 % with different
neuron composition, the average percentage recognition when the exercise subject
as well as the segment are different with examination subject is 56,67 % - 63,81
% with different neuron composition. Average percentage recognition second
MLP data record of Sig 0, when examination subject is the same with the exercise
subject but from different segment is 94,05 % - 95,24 % with different neuron
composition, the average percentage recognition when the exercise subject as well
as the segment are different with examination subject is 85,24 % - 88,33 % with
DAFTAR ISI
LEMBAR PENGESAHAN
SURAT PERYATAAN
ABSTRAK
i
ABSTRACT
ii
KATA
PENGANTAR
iii
DAFTAR ISI
v
DAFTAR GAMBAR
vii
DAFTAR
TABEL
viii
BAB I PENDAHULUAN
1.1
Latar
Belakang
1
1.2
Identifikasi
Masalah
1
1.3
Tujuan
1
1.4
Pembatasan
Masalah
2
1.5
Sistematika
Penulisan
2
BAB II DASAR TEORI
2.1
Asal Denyut Jantung dan Aktivitas Listrik Jantung
4
2.2
Elektrocardiogram
5
2.2.1
Sadapan
Bipoler
Standar
5
2.2.2
Potensial
Listrik
6
2.2.3
Sadapan Unipolar Prekordial
7
2.3
Kompleks-kompleks Elektrokardiografik Normal
8
2.4
Interval-Interval
Normal
9
2.5
Kelainan
Jantung
11
2.6
Transformasi
Wavelet
12
2.6.1
Analisa Wavelet
12
2.6.2
Kelebihan Transformasi Wavelet
13
2.6.3
Discrete Wavelet Transform (DWT)
13
2.6.4
Mother Wavelet
15
2.7
Jaringan
Saraf
Tiruan
16
2.7.2
Fungsi
Aktivasi
18
2.7.3
Algoritma
Pelatihan
19
BAB III PERANCANGAN DAN PENGOLAHAN DATA
3.1
Segmentasi Data
22
3.2
Penghitungan
Energi
25
3.3
Penggabungan
Nilai
Energi
25
3.4
Normalisasi
Nilai
Energi
26
3.5
Perancangan Jaringan Saraf Tiruan
26
3.5.1
Pendefenisian
Matriks
Target
28
3.5.2
Parameter-Paramter
Pelatihan
29
3.5.3
Data Latih dan Data Uji
28
3.6
Fungsi
Keputusan
29
BAB IV SIMULASI DAN PENGAMATAN DATA
4.1
Prosedur
Simulasi
30
4.2
Parameter-Parameter
Pelatihan
31
4.3
Hasil Simulasi JST
35
4.4
Penghitungan Tingkat Keberhasilan JST
36
BAB V KESIMPULAN DAN SARAN
5.1
Kesimpulan
44
5.2
Saran
45
DAFTAR PUSTAKA
45
LAMPIRAN A
Program Segmentasi Data, Menghitung Nilai Energi
dan
Normalisasi
LAMPIRAN B
Program Jaringan Saraf Tiruan
DAFTAR GAMBAR
Gambar II.1 Sistem penghantar
pada
jantung
4
Gambar
II.2
Sadapan
bipolar
6
Gambar
II.3
Sadapan
unipolar
7
Gambar II.4 Diagram kompleks, interval dan segmen elektrokardigrafik 9
Gambar II.5 Supraventricular Ectopy
11
Gambar II.6 Ventricular Ectopy
11
Gambar II.7 Supraventricular Arrhythmia
12
Gambar II.8 Ventricular Tachyarrhythmia
12
Gambar II.9 Transformasi Wavelet
13
Gambar
II.10
Proses
Filter
Sinyal
14
Gambar II.11 Proses Menghasilkan Koefisien DWT
14
Gambar II.12 Skema Diagram dengan Masukan Sinyal
15
Gambar II.13 Haar
15
Gambar II.14 Daubechies
16
Gambar
II.15
Jaringan
lapisan
tunggal
17
Gambar
II.16
Jaringan
lapisan
banyak
17
Gambar
II.17
Fungsi
linier
18
Gambar
II.18
Fungsi
tansig
18
Gambar
II.19
Fungsi
logsigmoid
19
Gambar
III.1
Segementai
data
MLII,
V1
23
Gambar
III.2
Segmentasi
data
Sig
0
24
Gambar III.3 Pendefenisian matriks target data MLII, V1
27
Gambar III.4 Pendefenisian matriks target data Sig 0
28
Gambar IV.1 Pendefenisian matriks target data MLII, V1
30
Gambar IV.2 Pendefenisian matriks target data Sig 0
31
Gambar IV.3 Jaringan A, subyek 3,4,5 data MLII,V1 kriteria 2
32
Gambar IV.4 Jaringan C, subyek latih 2,5,6 data MLII,V1 kriteria 3
32
Gambar IV.3 Jaringan A, subyek 2,5,6 data Sig 0 kriteria 2
33
DAFTAR TABEL
Tabel
III.1
Kombinasi
neuron
27
Tabel III.1
Kombinasi data latih dan data uji kriteria 3
29
Tabel IV.1
Persentase keberhasilan kriteria 1 data MLII, V1
36
Tabel IV.2
Persentase keberhasilan kriteria 2 data MLII, V1
36
Tabel IV.3
Persentase keberhasilan kriteria 3 data MLII, V1
37
Tabel IV.4
Persentase keberhasilan kriteria 1 data Sig 0
37
Tabel IV.5
Persentase keberhasilan kriteria 2 data Sig 0
38
Tabel IV.6
Persentase keberhasilan kriteria 3 data Sig 0
38
Tabel IV.7
Jumlah iterasi kriteria 1 data MLII, V1
41
Tabel IV.8
Jumlah iterasi kriteria 2 data MLII, V1
41
Tabel IV.9
Jumlah iterasi kriteria 3 data MLII, V1
42
Tabel IV.10 Jumlah iterasi kriteria 1 data Sig 0
42
Tabel IV.11 Jumlah iterasi kriteria 2 data Sig 0
43
LAMPIRAN A
PROGRAM SEGMENTASI DATA, MENGHITUNG NILAI
Data MLII, V1
Segmentasi s ectopy subyek 1
clear clc %supraventricular 101 load sve101.txt %m m=sve101(1:21600,2); %v v=sve101(1:21600,3); %pengsegmenan MLII m1=m(1:900); m2=m(901:1800); m3=m(1801:2700); m4=m(2701:3600); m5=m(3601:4500); m6=m(4501:5400); m7=m(5401:6300); m8=m(6301:7200); m9=m(7201:8100); m10=m(8101:9000); m11=m(9001:9900); m12=m(9901:10800); m13=m(10801:11700); m14=m(11701:12600); m15=m(12601:13500); m16=m(13501:14400); m17=m(14401:15300); m18=m(15301:16200); m19=m(16201:17100); m20=m(17101:18000); %pengsegmenan V1 v1=v(1:900); v2=v(901:1800); v3=v(1801:2700); v4=v(2701:3600); v5=v(3601:4500); v6=v(4501:5400); v7=v(5401:6300); v8=v(6301:7200); v9=v(7201:8100); v10=v(8101:9000); v11=v(9001:9900); v12=v(9901:10800); v13=v(10801:11700); v14=v(11701:12600); v15=v(12601:13500); v16=v(13501:14400); v17=v(14401:15300); v18=v(15301:16200); v19=v(16201:17100); v20=v(17101:18000);
%energi MLII 10 segmen pertama [c1,l1]=wavedec(m1,3,'db5'); [ea1,ed1]=wenergy(c1,l1); [c2,l2]=wavedec(m2,3,'db5'); [ea2,ed2]=wenergy(c2,l2); [c3,l3]=wavedec(m3,3,'db5'); [ea3,ed3]=wenergy(c3,l3); [c4,l4]=wavedec(m4,3,'db5'); [ea4,ed4]=wenergy(c4,l4); [c5,l5]=wavedec(m5,3,'db5'); [ea5,ed5]=wenergy(c5,l5); [c6,l6]=wavedec(m6,3,'db5'); [ea6,ed6]=wenergy(c6,l6); [c7,l7]=wavedec(m7,3,'db5'); [ea7,ed7]=wenergy(c7,l7); [c8,l8]=wavedec(m8,3,'db5'); [ea8,ed8]=wenergy(c8,l8); [c9,l9]=wavedec(m9,3,'db5'); [ea9,ed9]=wenergy(c9,l9); [c10,l10]=wavedec(m10,3,'db5'); [ea10,ed10]=wenergy(c10,l10);
%energi MLII 10 segmen kedua [c11,l11]=wavedec(m11,3,'db5'); [ea11,ed11]=wenergy(c11,l11); [c12,l12]=wavedec(m12,3,'db5'); [ea12,ed12]=wenergy(c12,l12); [c13,l13]=wavedec(m13,3,'db5'); [ea13,ed13]=wenergy(c13,l13); [c14,l14]=wavedec(m14,3,'db5'); [ea14,ed14]=wenergy(c14,l14); [c15,l15]=wavedec(m15,3,'db5'); [ea15,ed15]=wenergy(c15,l15); [c16,l16]=wavedec(m16,3,'db5'); [ea16,ed16]=wenergy(c16,l16); [c17,l17]=wavedec(m17,3,'db5'); [ea17,ed17]=wenergy(c17,l17); [c18,l18]=wavedec(m18,3,'db5'); [ea18,ed18]=wenergy(c18,l18); [c19,l19]=wavedec(m19,3,'db5'); [ea19,ed19]=wenergy(c19,l19); [c20,l20]=wavedec(m20,3,'db5'); [ea20,ed20]=wenergy(c20,l20);
%energi V1 10 segmen pertama [c51,l51]=wavedec(v1,3,'db5'); [ea51,ed51]=wenergy(c51,l51); [c52,l52]=wavedec(v2,3,'db5'); [ea52,ed52]=wenergy(c52,l52); [c53,l53]=wavedec(v3,3,'db5'); [ea53,ed53]=wenergy(c53,l53); [c54,l54]=wavedec(v4,3,'db5'); [ea54,ed54]=wenergy(c54,l54); [c55,l55]=wavedec(v5,3,'db5'); [ea55,ed55]=wenergy(c55,l55); [c56,l56]=wavedec(v6,3,'db5'); [ea56,ed56]=wenergy(c56,l56); [c57,l57]=wavedec(v7,3,'db5'); [ea57,ed57]=wenergy(c57,l57); [c58,l58]=wavedec(v8,3,'db5'); [ea58,ed58]=wenergy(c58,l58); [c59,l59]=wavedec(v9,3,'db5'); [ea59,ed59]=wenergy(c59,l59); [c60,l60]=wavedec(v10,3,'db5'); [ea60,ed60]=wenergy(c60,l60);
[c62,l62]=wavedec(v12,3,'db5'); [ea62,ed62]=wenergy(c62,l62); [c63,l63]=wavedec(v13,3,'db5'); [ea63,ed63]=wenergy(c63,l63); [c64,l64]=wavedec(v14,3,'db5'); [ea64,ed64]=wenergy(c64,l64); [c65,l65]=wavedec(v15,3,'db5'); [ea65,ed65]=wenergy(c65,l65); [c66,l66]=wavedec(v16,3,'db5'); [ea66,ed66]=wenergy(c66,l66); [c67,l67]=wavedec(v17,3,'db5'); [ea67,ed67]=wenergy(c67,l67); [c68,l68]=wavedec(v18,3,'db5'); [ea68,ed68]=wenergy(c68,l68); [c69,l69]=wavedec(v19,3,'db5'); [ea69,ed69]=wenergy(c69,l69); [c70,l70]=wavedec(v20,3,'db5'); [ea70,ed70]=wenergy(c70,l70);
%penggabungan nilai energi %penggabungan nilai energi MLII sme1=[ea1,ed1]'; sme2=[ea2,ed2]'; sme3=[ea3,ed3]'; sme4=[ea4,ed4]'; sme5=[ea5,ed5]'; sme6=[ea6,ed6]'; sme7=[ea7,ed7]'; sme8=[ea8,ed8]'; sme9=[ea9,ed9]'; sme10=[ea10,ed10]'; sme11=[ea11,ed11]'; sme12=[ea12,ed12]'; sme13=[ea13,ed13]'; sme14=[ea14,ed14]'; sme15=[ea15,ed15]'; sme16=[ea16,ed16]'; sme17=[ea17,ed17]'; sme18=[ea18,ed18]'; sme19=[ea19,ed19]'; sme20=[ea20,ed20]';
%penggabungan nilai energi v1 sve1=[ea51,ed51]'; sve2=[ea52,ed52]'; sve3=[ea53,ed53]'; sve4=[ea54,ed54]'; sve5=[ea55,ed55]'; sve6=[ea56,ed56]'; sve7=[ea57,ed57]'; sve8=[ea58,ed58]'; sve9=[ea59,ed59]'; sve10=[ea60,ed60]'; sve11=[ea61,ed61]'; sve12=[ea62,ed62]'; sve13=[ea63,ed63]'; sve14=[ea64,ed64]'; sve15=[ea65,ed65]'; sve16=[ea66,ed66]'; sve17=[ea67,ed67]'; sve18=[ea68,ed68]'; sve19=[ea69,ed69]'; sve20=[ea70,ed70]';
%save data energi
save data_supra_a sme1 sme2 sme3 sme4 sme5 sme6 sme7 sme8 sme9 sme10 sme11 sme12 sme13 sme14 sme15 sme16 sme17 sme18 sme19 sme20 sve1 sve2 sve3 sve4 sve5 sve6 sve7 sve8 sve9 sve10 sve11 sve12 sve13 sve14 sve15 sve16 sve17 sve18 sve19 sve20
%normalisasi
%normalisasi energi MLII nsm1_a=normc(sme1); nsm2_a=normc(sme2); nsm3_a=normc(sme3); nsm4_a=normc(sme4); nsm5_a=normc(sme5); nsm6_a=normc(sme6); nsm7_a=normc(sme7); nsm8_a=normc(sme8); nsm9_a=normc(sme9); nsm10_a=normc(sme10); nsm11_a=normc(sme11); nsm12_a=normc(sme12); nsm13_a=normc(sme13); nsm14_a=normc(sme14); nsm15_a=normc(sme15); nsm16_a=normc(sme16); nsm17_a=normc(sme17); nsm18_a=normc(sme18); nsm19_a=normc(sme19); nsm20_a=normc(sme20);
%normalisasi energi V1 nsv1_a=normc(sve1); nsv2_a=normc(sve2); nsv3_a=normc(sve3); nsv4_a=normc(sve4); nsv5_a=normc(sve5); nsv6_a=normc(sve6); nsv7_a=normc(sve7); nsv8_a=normc(sve8); nsv9_a=normc(sve9); nsv10_a=normc(sve10); nsv11_a=normc(sve11); nsv12_a=normc(sve12); nsv13_a=normc(sve13); nsv14_a=normc(sve14); nsv15_a=normc(sve15); nsv16_a=normc(sve16); nsv17_a=normc(sve17); nsv18_a=normc(sve18); nsv19_a=normc(sve19); nsv20_a=normc(sve20);
%save data energi ternormalisasi
nsm20_a nsv1_a nsv2_a nsv3_a nsv4_a nsv5_a nsv6_a nsv7_a nsv8_a nsv9_a nsv10_a nsv11_a nsv12_a nsv13_a nsv14_a nsv15_a nsv16_a nsv17_a nsv18_a nsv19_a nsv20_a
Segmentasi s ectopy subyek 7
clear clc %supraventricular 232 load sve232.txt %m m=sve232(1:21600,2); %v v=sve232(1:21600,3); %pengsegmenan MLII m1=m(1:900); m2=m(901:1800); m3=m(1801:2700); m4=m(2701:3600); m5=m(3601:4500); m6=m(4501:5400); m7=m(5401:6300); m8=m(6301:7200); m9=m(7201:8100); m10=m(8101:9000); m11=m(9001:9900); m12=m(9901:10800); m13=m(10801:11700); m14=m(11701:12600); m15=m(12601:13500); m16=m(13501:14400); m17=m(14401:15300); m18=m(15301:16200); m19=m(16201:17100); m20=m(17101:18000); %pengsegmenan V1 v1=v(1:900); v2=v(901:1800); v3=v(1801:2700); v4=v(2701:3600); v5=v(3601:4500); v6=v(4501:5400); v7=v(5401:6300); v8=v(6301:7200); v9=v(7201:8100); v10=v(8101:9000); v11=v(9001:9900); v12=v(9901:10800); v13=v(10801:11700); v14=v(11701:12600); v15=v(12601:13500); v16=v(13501:14400); v17=v(14401:15300); v18=v(15301:16200); v19=v(16201:17100); v20=v(17101:18000);
%energi MLII 10 segmen pertama
[c1,l1]=wavedec(m1,3,'db5'); [ea1,ed1]=wenergy(c1,l1); [c2,l2]=wavedec(m2,3,'db5'); [ea2,ed2]=wenergy(c2,l2); [c3,l3]=wavedec(m3,3,'db5'); [ea3,ed3]=wenergy(c3,l3); [c4,l4]=wavedec(m4,3,'db5'); [ea4,ed4]=wenergy(c4,l4); [c5,l5]=wavedec(m5,3,'db5'); [ea5,ed5]=wenergy(c5,l5); [c6,l6]=wavedec(m6,3,'db5'); [ea6,ed6]=wenergy(c6,l6); [c7,l7]=wavedec(m7,3,'db5'); [ea7,ed7]=wenergy(c7,l7); [c8,l8]=wavedec(m8,3,'db5'); [ea8,ed8]=wenergy(c8,l8); [c9,l9]=wavedec(m9,3,'db5'); [ea9,ed9]=wenergy(c9,l9); [c10,l10]=wavedec(m10,3,'db5'); [ea10,ed10]=wenergy(c10,l10);
%energi MLII 10 segmen kedua [c11,l11]=wavedec(m11,3,'db5'); [ea11,ed11]=wenergy(c11,l11); [c12,l12]=wavedec(m12,3,'db5'); [ea12,ed12]=wenergy(c12,l12); [c13,l13]=wavedec(m13,3,'db5'); [ea13,ed13]=wenergy(c13,l13); [c14,l14]=wavedec(m14,3,'db5'); [ea14,ed14]=wenergy(c14,l14); [c15,l15]=wavedec(m15,3,'db5'); [ea15,ed15]=wenergy(c15,l15); [c16,l16]=wavedec(m16,3,'db5'); [ea16,ed16]=wenergy(c16,l16); [c17,l17]=wavedec(m17,3,'db5'); [ea17,ed17]=wenergy(c17,l17); [c18,l18]=wavedec(m18,3,'db5'); [ea18,ed18]=wenergy(c18,l18); [c19,l19]=wavedec(m19,3,'db5'); [ea19,ed19]=wenergy(c19,l19); [c20,l20]=wavedec(m20,3,'db5'); [ea20,ed20]=wenergy(c20,l20);
[ea60,ed60]=wenergy(c60,l60);
%energi V1 10 segmen kedua [c61,l61]=wavedec(v11,3,'db5'); [ea61,ed61]=wenergy(c61,l61); [c62,l62]=wavedec(v12,3,'db5'); [ea62,ed62]=wenergy(c62,l62); [c63,l63]=wavedec(v13,3,'db5'); [ea63,ed63]=wenergy(c63,l63); [c64,l64]=wavedec(v14,3,'db5'); [ea64,ed64]=wenergy(c64,l64); [c65,l65]=wavedec(v15,3,'db5'); [ea65,ed65]=wenergy(c65,l65); [c66,l66]=wavedec(v16,3,'db5'); [ea66,ed66]=wenergy(c66,l66); [c67,l67]=wavedec(v17,3,'db5'); [ea67,ed67]=wenergy(c67,l67); [c68,l68]=wavedec(v18,3,'db5'); [ea68,ed68]=wenergy(c68,l68); [c69,l69]=wavedec(v19,3,'db5'); [ea69,ed69]=wenergy(c69,l69); [c70,l70]=wavedec(v20,3,'db5'); [ea70,ed70]=wenergy(c70,l70);
%penggabungan nilai energi %penggabungan nilai energi MLII sme1=[ea1,ed1]'; sme2=[ea2,ed2]'; sme3=[ea3,ed3]'; sme4=[ea4,ed4]'; sme5=[ea5,ed5]'; sme6=[ea6,ed6]'; sme7=[ea7,ed7]'; sme8=[ea8,ed8]'; sme9=[ea9,ed9]'; sme10=[ea10,ed10]'; sme11=[ea11,ed11]'; sme12=[ea12,ed12]'; sme13=[ea13,ed13]'; sme14=[ea14,ed14]'; sme15=[ea15,ed15]'; sme16=[ea16,ed16]'; sme17=[ea17,ed17]'; sme18=[ea18,ed18]'; sme19=[ea19,ed19]'; sme20=[ea20,ed20]';
%penggabungan nilai energi v1 sve1=[ea51,ed51]'; sve2=[ea52,ed52]'; sve3=[ea53,ed53]'; sve4=[ea54,ed54]'; sve5=[ea55,ed55]'; sve6=[ea56,ed56]'; sve7=[ea57,ed57]'; sve8=[ea58,ed58]'; sve9=[ea59,ed59]'; sve10=[ea60,ed60]'; sve11=[ea61,ed61]'; sve12=[ea62,ed62]'; sve13=[ea63,ed63]'; sve14=[ea64,ed64]'; sve15=[ea65,ed65]'; sve16=[ea66,ed66]'; sve17=[ea67,ed67]'; sve18=[ea68,ed68]'; sve19=[ea69,ed69]'; sve20=[ea70,ed70]';
%save data energi
save data_supra_g sme1 sme2 sme3 sme4 sme5 sme6 sme7 sme8 sme9 sme10 sme11 sme12 sme13 sme14 sme15 sme16 sme17 sme18 sme19 sme20 sve1 sve2 sve3 sve4 sve5 sve6 sve7 sve8 sve9 sve10 sve11 sve12 sve13 sve14 sve15 sve16 sve17 sve18 sve19 sve20
%normalisasi
%normalisasi energi MLII nsm1_g=normc(sme1); nsm2_g=normc(sme2); nsm3_g=normc(sme3); nsm4_g=normc(sme4); nsm5_g=normc(sme5); nsm6_g=normc(sme6); nsm7_g=normc(sme7); nsm8_g=normc(sme8); nsm9_g=normc(sme9); nsm10_g=normc(sme10); nsm11_g=normc(sme11); nsm12_g=normc(sme12); nsm13_g=normc(sme13); nsm14_g=normc(sme14); nsm15_g=normc(sme15); nsm16_g=normc(sme16); nsm17_g=normc(sme17); nsm18_g=normc(sme18); nsm19_g=normc(sme19); nsm20_g=normc(sme20);
%save data energi ternormalisasi
save norm_supra_g nsm1_g nsm2_g nsm3_g nsm4_g nsm5_g nsm6_g nsm7_g nsm8_g nsm9_g nsm10_g nsm11_g nsm12_g nsm13_g nsm14_g nsm15_g nsm16_g nsm17_g nsm18_g nsm19_g nsm20_g nsv1_g nsv2_g nsv3_g nsv4_g nsv5_g nsv6_g nsv7_g nsv8_g nsv9_g nsv10_g nsv11_g nsv12_g nsv13_g nsv14_g nsv15_g nsv16_g nsv17_g nsv18_g nsv19_g nsv20_g
Segmentasi v ectopy subyek 1
clear clc %ventricular 105 load ve105.txt %m m=ve105(1:21600,2); %v v=ve105(1:21600,3); %pengsegmenan MLII m1=m(1:900); m2=m(901:1800); m3=m(1801:2700); m4=m(2701:3600); m5=m(3601:4500); m6=m(4501:5400); m7=m(5401:6300); m8=m(6301:7200); m9=m(7201:8100); m10=m(8101:9000); m11=m(9001:9900); m12=m(9901:10800); m13=m(10801:11700); m14=m(11701:12600); m15=m(12601:13500); m16=m(13501:14400); m17=m(14401:15300); m18=m(15301:16200); m19=m(16201:17100); m20=m(17101:18000); %pengsegmenan V1 v1=v(1:900); v2=v(901:1800); v3=v(1801:2700); v4=v(2701:3600); v5=v(3601:4500); v6=v(4501:5400); v7=v(5401:6300); v8=v(6301:7200); v9=v(7201:8100); v10=v(8101:9000); v11=v(9001:9900); v12=v(9901:10800); v13=v(10801:11700); v14=v(11701:12600); v15=v(12601:13500); v16=v(13501:14400); v17=v(14401:15300); v18=v(15301:16200); v19=v(16201:17100); v20=v(17101:18000);
%energi MLII 10 segmen pertama [c1,l1]=wavedec(m1,3,'db5'); [ea1,ed1]=wenergy(c1,l1); [c2,l2]=wavedec(m2,3,'db5'); [ea2,ed2]=wenergy(c2,l2); [c3,l3]=wavedec(m3,3,'db5'); [ea3,ed3]=wenergy(c3,l3); [c4,l4]=wavedec(m4,3,'db5'); [ea4,ed4]=wenergy(c4,l4); [c5,l5]=wavedec(m5,3,'db5'); [ea5,ed5]=wenergy(c5,l5); [c6,l6]=wavedec(m6,3,'db5'); [ea6,ed6]=wenergy(c6,l6); [c7,l7]=wavedec(m7,3,'db5'); [ea7,ed7]=wenergy(c7,l7); [c8,l8]=wavedec(m8,3,'db5'); [ea8,ed8]=wenergy(c8,l8); [c9,l9]=wavedec(m9,3,'db5'); [ea9,ed9]=wenergy(c9,l9); [c10,l10]=wavedec(m10,3,'db5'); [ea10,ed10]=wenergy(c10,l10);
%energi MLII 10 segmen kedua [c11,l11]=wavedec(m11,3,'db5'); [ea11,ed11]=wenergy(c11,l11); [c12,l12]=wavedec(m12,3,'db5'); [ea12,ed12]=wenergy(c12,l12); [c13,l13]=wavedec(m13,3,'db5'); [ea13,ed13]=wenergy(c13,l13); [c14,l14]=wavedec(m14,3,'db5'); [ea14,ed14]=wenergy(c14,l14); [c15,l15]=wavedec(m15,3,'db5'); [ea15,ed15]=wenergy(c15,l15); [c16,l16]=wavedec(m16,3,'db5'); [ea16,ed16]=wenergy(c16,l16); [c17,l17]=wavedec(m17,3,'db5'); [ea17,ed17]=wenergy(c17,l17); [c18,l18]=wavedec(m18,3,'db5'); [ea18,ed18]=wenergy(c18,l18); [c19,l19]=wavedec(m19,3,'db5'); [ea19,ed19]=wenergy(c19,l19); [c20,l20]=wavedec(m20,3,'db5'); [ea20,ed20]=wenergy(c20,l20);
[ea57,ed57]=wenergy(c57,l57); [c58,l58]=wavedec(v8,3,'db5'); [ea58,ed58]=wenergy(c58,l58); [c59,l59]=wavedec(v9,3,'db5'); [ea59,ed59]=wenergy(c59,l59); [c60,l60]=wavedec(v10,3,'db5'); [ea60,ed60]=wenergy(c60,l60);
%energi V1 10 segmen kedua [c61,l61]=wavedec(v11,3,'db5'); [ea61,ed61]=wenergy(c61,l61); [c62,l62]=wavedec(v12,3,'db5'); [ea62,ed62]=wenergy(c62,l62); [c63,l63]=wavedec(v13,3,'db5'); [ea63,ed63]=wenergy(c63,l63); [c64,l64]=wavedec(v14,3,'db5'); [ea64,ed64]=wenergy(c64,l64); [c65,l65]=wavedec(v15,3,'db5'); [ea65,ed65]=wenergy(c65,l65); [c66,l66]=wavedec(v16,3,'db5'); [ea66,ed66]=wenergy(c66,l66); [c67,l67]=wavedec(v17,3,'db5'); [ea67,ed67]=wenergy(c67,l67); [c68,l68]=wavedec(v18,3,'db5'); [ea68,ed68]=wenergy(c68,l68); [c69,l69]=wavedec(v19,3,'db5'); [ea69,ed69]=wenergy(c69,l69); [c70,l70]=wavedec(v20,3,'db5'); [ea70,ed70]=wenergy(c70,l70);
%penggabungan nilai energi %penggabungan nilai energi MLII vme1=[ea1,ed1]'; vme2=[ea2,ed2]'; vme3=[ea3,ed3]'; vme4=[ea4,ed4]'; vme5=[ea5,ed5]'; vme6=[ea6,ed6]'; vme7=[ea7,ed7]'; vme8=[ea8,ed8]'; vme9=[ea9,ed9]'; vme10=[ea10,ed10]'; vme11=[ea11,ed11]'; vme12=[ea12,ed12]'; vme13=[ea13,ed13]'; vme14=[ea14,ed14]'; vme15=[ea15,ed15]'; vme16=[ea16,ed16]'; vme17=[ea17,ed17]'; vme18=[ea18,ed18]'; vme19=[ea19,ed19]'; vme20=[ea20,ed20]';
%penggabungan nilai energi v1 vve1=[ea51,ed51]'; vve2=[ea52,ed52]'; vve3=[ea53,ed53]'; vve4=[ea54,ed54]'; vve5=[ea55,ed55]'; vve6=[ea56,ed56]'; vve7=[ea57,ed57]'; vve8=[ea58,ed58]'; vve9=[ea59,ed59]'; vve10=[ea60,ed60]'; vve11=[ea61,ed61]'; vve12=[ea62,ed62]'; vve13=[ea63,ed63]'; vve14=[ea64,ed64]'; vve15=[ea65,ed65]'; vve16=[ea66,ed66]'; vve17=[ea67,ed67]'; vve18=[ea68,ed68]'; vve19=[ea69,ed69]'; vve20=[ea70,ed70]';
%save data energi
save data_ventri_a vme1 vme2 vme3 vme4 vme5 vme6 vme7 vme8 vme9 vme10 vme11 vme12 vme13 vme14 vme15 vme16 vme17 vme18 vme19 vme20 vve1 vve2 vve3 vve4 vve5 vve6 vve7 vve8 vve9 vve10 vve11 vve12 vve13 vve14 vve15 vve16 vve17 vve18 vve19 vve20
%normalisasi
%normalisasi energi MLII nvm1_a=normc(vme1); nvm2_a=normc(vme2); nvm3_a=normc(vme3); nvm4_a=normc(vme4); nvm5_a=normc(vme5); nvm6_a=normc(vme6); nvm7_a=normc(vme7); nvm8_a=normc(vme8); nvm9_a=normc(vme9); nvm10_a=normc(vme10); nvm11_a=normc(vme11); nvm12_a=normc(vme12); nvm13_a=normc(vme13); nvm14_a=normc(vme14); nvm15_a=normc(vme15); nvm16_a=normc(vme16); nvm17_a=normc(vme17); nvm18_a=normc(vme18); nvm19_a=normc(vme19); nvm20_a=normc(vme20);
nvv16_a=normc(vve16); nvv17_a=normc(vve17); nvv18_a=normc(vve18); nvv19_a=normc(vve19); nvv20_a=normc(vve20);
%save data energi ternormalisasi
save norm_ventri_a nvm1_a nvm2_a nvm3_a nvm4_a nvm5_a nvm6_a nvm7_a nvm8_a nvm9_a nvm10_a nvm11_a nvm12_a nvm13_a nvm14_a nvm15_a nvm16_a nvm17_a nvm18_a nvm19_a nvm20_a nvv1_a nvv2_a nvv3_a nvv4_a nvv5_a nvv6_a nvv7_a nvv8_a nvv9_a nvv10_a nvv11_a nvv12_a nvv13_a nvv14_a nvv15_a nvv16_a nvv17_a nvv18_a nvv19_a nvv20_a
Segmentasi v ectopy subyek 7
clear clc %ventricular 231 load ve231.txt %m m=ve231(1:21600,2); %v v=ve231(1:21600,3); %pengsegmenan MLII m1=m(1:900); m2=m(901:1800); m3=m(1801:2700); m4=m(2701:3600); m5=m(3601:4500); m6=m(4501:5400); m7=m(5401:6300); m8=m(6301:7200); m9=m(7201:8100); m10=m(8101:9000); m11=m(9001:9900); m12=m(9901:10800); m13=m(10801:11700); m14=m(11701:12600); m15=m(12601:13500); m16=m(13501:14400); m17=m(14401:15300); m18=m(15301:16200); m19=m(16201:17100); m20=m(17101:18000); %pengsegmenan V1 v1=v(1:900); v2=v(901:1800); v3=v(1801:2700); v4=v(2701:3600); v5=v(3601:4500); v6=v(4501:5400); v7=v(5401:6300); v8=v(6301:7200); v9=v(7201:8100); v10=v(8101:9000); v11=v(9001:9900); v12=v(9901:10800); v13=v(10801:11700); v14=v(11701:12600); v15=v(12601:13500); v16=v(13501:14400); v17=v(14401:15300); v18=v(15301:16200); v19=v(16201:17100); v20=v(17101:18000);
%energi MLII 10 segmen pertama [c1,l1]=wavedec(m1,3,'db5'); [ea1,ed1]=wenergy(c1,l1); [c2,l2]=wavedec(m2,3,'db5'); [ea2,ed2]=wenergy(c2,l2); [c3,l3]=wavedec(m3,3,'db5'); [ea3,ed3]=wenergy(c3,l3); [c4,l4]=wavedec(m4,3,'db5'); [ea4,ed4]=wenergy(c4,l4); [c5,l5]=wavedec(m5,3,'db5'); [ea5,ed5]=wenergy(c5,l5); [c6,l6]=wavedec(m6,3,'db5'); [ea6,ed6]=wenergy(c6,l6); [c7,l7]=wavedec(m7,3,'db5'); [ea7,ed7]=wenergy(c7,l7); [c8,l8]=wavedec(m8,3,'db5'); [ea8,ed8]=wenergy(c8,l8); [c9,l9]=wavedec(m9,3,'db5'); [ea9,ed9]=wenergy(c9,l9); [c10,l10]=wavedec(m10,3,'db5'); [ea10,ed10]=wenergy(c10,l10);
%energi MLII 10 segmen kedua [c11,l11]=wavedec(m11,3,'db5'); [ea11,ed11]=wenergy(c11,l11); [c12,l12]=wavedec(m12,3,'db5'); [ea12,ed12]=wenergy(c12,l12); [c13,l13]=wavedec(m13,3,'db5'); [ea13,ed13]=wenergy(c13,l13); [c14,l14]=wavedec(m14,3,'db5'); [ea14,ed14]=wenergy(c14,l14); [c15,l15]=wavedec(m15,3,'db5'); [ea15,ed15]=wenergy(c15,l15); [c16,l16]=wavedec(m16,3,'db5'); [ea16,ed16]=wenergy(c16,l16); [c17,l17]=wavedec(m17,3,'db5'); [ea17,ed17]=wenergy(c17,l17); [c18,l18]=wavedec(m18,3,'db5'); [ea18,ed18]=wenergy(c18,l18); [c19,l19]=wavedec(m19,3,'db5'); [ea19,ed19]=wenergy(c19,l19); [c20,l20]=wavedec(m20,3,'db5'); [ea20,ed20]=wenergy(c20,l20);
[c55,l55]=wavedec(v5,3,'db5'); [ea55,ed55]=wenergy(c55,l55); [c56,l56]=wavedec(v6,3,'db5'); [ea56,ed56]=wenergy(c56,l56); [c57,l57]=wavedec(v7,3,'db5'); [ea57,ed57]=wenergy(c57,l57); [c58,l58]=wavedec(v8,3,'db5'); [ea58,ed58]=wenergy(c58,l58); [c59,l59]=wavedec(v9,3,'db5'); [ea59,ed59]=wenergy(c59,l59); [c60,l60]=wavedec(v10,3,'db5'); [ea60,ed60]=wenergy(c60,l60);
%energi V1 10 segmen kedua [c61,l61]=wavedec(v11,3,'db5'); [ea61,ed61]=wenergy(c61,l61); [c62,l62]=wavedec(v12,3,'db5'); [ea62,ed62]=wenergy(c62,l62); [c63,l63]=wavedec(v13,3,'db5'); [ea63,ed63]=wenergy(c63,l63); [c64,l64]=wavedec(v14,3,'db5'); [ea64,ed64]=wenergy(c64,l64); [c65,l65]=wavedec(v15,3,'db5'); [ea65,ed65]=wenergy(c65,l65); [c66,l66]=wavedec(v16,3,'db5'); [ea66,ed66]=wenergy(c66,l66); [c67,l67]=wavedec(v17,3,'db5'); [ea67,ed67]=wenergy(c67,l67); [c68,l68]=wavedec(v18,3,'db5'); [ea68,ed68]=wenergy(c68,l68); [c69,l69]=wavedec(v19,3,'db5'); [ea69,ed69]=wenergy(c69,l69); [c70,l70]=wavedec(v20,3,'db5'); [ea70,ed70]=wenergy(c70,l70);
%penggabungan nilai energi %penggabungan nilai energi MLII vme1=[ea1,ed1]'; vme2=[ea2,ed2]'; vme3=[ea3,ed3]'; vme4=[ea4,ed4]'; vme5=[ea5,ed5]'; vme6=[ea6,ed6]'; vme7=[ea7,ed7]'; vme8=[ea8,ed8]'; vme9=[ea9,ed9]'; vme10=[ea10,ed10]'; vme11=[ea11,ed11]'; vme12=[ea12,ed12]'; vme13=[ea13,ed13]'; vme14=[ea14,ed14]'; vme15=[ea15,ed15]'; vme16=[ea16,ed16]'; vme17=[ea17,ed17]'; vme18=[ea18,ed18]'; vme19=[ea19,ed19]'; vme20=[ea20,ed20]';
%penggabungan nilai energi v1 vve1=[ea51,ed51]'; vve2=[ea52,ed52]'; vve3=[ea53,ed53]'; vve4=[ea54,ed54]'; vve5=[ea55,ed55]'; vve6=[ea56,ed56]'; vve7=[ea57,ed57]'; vve8=[ea58,ed58]'; vve9=[ea59,ed59]'; vve10=[ea60,ed60]'; vve11=[ea61,ed61]'; vve12=[ea62,ed62]'; vve13=[ea63,ed63]'; vve14=[ea64,ed64]'; vve15=[ea65,ed65]'; vve16=[ea66,ed66]'; vve17=[ea67,ed67]'; vve18=[ea68,ed68]'; vve19=[ea69,ed69]'; vve20=[ea70,ed70]';
%save data energi
save data_ventri_g vme1 vme2 vme3 vme4 vme5 vme6 vme7 vme8 vme9 vme10 vme11 vme12 vme13 vme14 vme15 vme16 vme17 vme18 vme19 vme20 vve1 vve2 vve3 vve4 vve5 vve6 vve7 vve8 vve9 vve10 vve11 vve12 vve13 vve14 vve15 vve16 vve17 vve18 vve19 vve20
%normalisasi
%normalisasi energi MLII nvm1_g=normc(vme1); nvm2_g=normc(vme2); nvm3_g=normc(vme3); nvm4_g=normc(vme4); nvm5_g=normc(vme5); nvm6_g=normc(vme6); nvm7_g=normc(vme7); nvm8_g=normc(vme8); nvm9_g=normc(vme9); nvm10_g=normc(vme10); nvm11_g=normc(vme11); nvm12_g=normc(vme12); nvm13_g=normc(vme13); nvm14_g=normc(vme14); nvm15_g=normc(vme15); nvm16_g=normc(vme16); nvm17_g=normc(vme17); nvm18_g=normc(vme18); nvm19_g=normc(vme19); nvm20_g=normc(vme20);
nvv11_g=normc(vve11); nvv12_g=normc(vve12); nvv13_g=normc(vve13); nvv14_g=normc(vve14); nvv15_g=normc(vve15); nvv16_g=normc(vve16); nvv17_g=normc(vve17); nvv18_g=normc(vve18); nvv19_g=normc(vve19); nvv20_g=normc(vve20);
%save data energi ternormalisasi
Data Sig 0
Segmentasi s arrhythmia subyek 1
clear clc %supraventricular 800 load sva800.txt %s s=sva800(1:7680,2);
%s pengsegmenan S s1=s(1:200); s2=s(201:400); s3=s(401:600); s4=s(601:800); s5=s(801:1000); s6=s(1001:1200); s7=s(1201:1400); s8=s(1401:1600); s9=s(1601:1800); s10=s(1801:2000); s11=s(2001:2200); s12=s(2201:2400); s13=s(2401:2600); s14=s(2601:2800); s15=s(2801:3000); s16=s(3001:3200); s17=s(3201:3400); s18=s(3401:3600); s19=s(3601:3800); s20=s(3801:4000);
%Energi s0 10 segmen pertama [c1,l1]=wavedec(s1,3,'db5'); [ea1,ed1]=wenergy(c1,l1); [c2,l2]=wavedec(s2,3,'db5'); [ea2,ed2]=wenergy(c2,l2); [c3,l3]=wavedec(s3,3,'db5'); [ea3,ed3]=wenergy(c3,l3); [c4,l4]=wavedec(s4,3,'db5'); [ea4,ed4]=wenergy(c4,l4); [c5,l5]=wavedec(s5,3,'db5'); [ea5,ed5]=wenergy(c5,l5); [c6,l6]=wavedec(s6,3,'db5'); [ea6,ed6]=wenergy(c6,l6); [c7,l7]=wavedec(s7,3,'db5'); [ea7,ed7]=wenergy(c7,l7); [c8,l8]=wavedec(s8,3,'db5'); [ea8,ed8]=wenergy(c8,l8); [c9,l9]=wavedec(s9,3,'db5'); [ea9,ed9]=wenergy(c9,l9); [c10,l10]=wavedec(s10,3,'db5'); [ea10,ed10]=wenergy(c10,l10);
%Energi s0 10 segmen kedua [c11,l11]=wavedec(s11,3,'db5'); [ea11,ed11]=wenergy(c11,l11); [c12,l12]=wavedec(s12,3,'db5'); [ea12,ed12]=wenergy(c12,l12); [c13,l13]=wavedec(s13,3,'db5'); [ea13,ed13]=wenergy(c13,l13); [c14,l14]=wavedec(s14,3,'db5'); [ea14,ed14]=wenergy(c14,l14); [c15,l15]=wavedec(s15,3,'db5'); [ea15,ed15]=wenergy(c15,l15); [c16,l16]=wavedec(s16,3,'db5'); [ea16,ed16]=wenergy(c16,l16); [c17,l17]=wavedec(s17,3,'db5'); [ea17,ed17]=wenergy(c17,l17); [c18,l18]=wavedec(s18,3,'db5'); [ea18,ed18]=wenergy(c18,l18); [c19,l19]=wavedec(s19,3,'db5'); [ea19,ed19]=wenergy(c19,l19); [c20,l20]=wavedec(s20,3,'db5'); [ea20,ed20]=wenergy(c20,l20);
%penggabungan nilai energi s0 sse1=[ea1,ed1]'; sse2=[ea2,ed2]'; sse3=[ea3,ed3]'; sse4=[ea4,ed4]'; sse5=[ea5,ed5]'; sse6=[ea6,ed6]'; sse7=[ea7,ed7]'; sse8=[ea8,ed8]'; sse9=[ea9,ed9]'; sse10=[ea10,ed10]'; sse11=[ea11,ed11]'; sse12=[ea12,ed12]'; sse13=[ea13,ed13]'; sse14=[ea14,ed14]'; sse15=[ea15,ed15]'; sse16=[ea16,ed16]'; sse17=[ea17,ed17]'; sse18=[ea18,ed18]'; sse19=[ea19,ed19]'; sse20=[ea20,ed20]';
%save data energi
save data_supra_a sse1 sse2 sse3 sse4 sse5 sse6 sse7 sse8 sse9 sse10 sse11 sse12 sse13 sse14 sse15 sse16 sse17 sse18 sse19 sse20
nss20_a=normc(sse20);
%save data energi ternormalisasi
save norm_supra_a nss1_a nss2_a nss3_a nss4_a nss5_a nss6_a nss7_a nss8_a nss9_a nss10_a nss11_a nss12_a nss13_a nss14_a nss15_a nss16_a nss17_a nss18_a nss19_a nss20_a
Segmentasi s arrhythmia subyek 7
clear clc %supraventricular 875 load sva875.txt %s s=sva875(1:7680,2);
%s pengsegmenan S s1=s(1:200); s2=s(201:400); s3=s(401:600); s4=s(601:800); s5=s(801:1000); s6=s(1001:1200); s7=s(1201:1400); s8=s(1401:1600); s9=s(1601:1800); s10=s(1801:2000); s11=s(2001:2200); s12=s(2201:2400); s13=s(2401:2600); s14=s(2601:2800); s15=s(2801:3000); s16=s(3001:3200); s17=s(3201:3400); s18=s(3401:3600); s19=s(3601:3800); s20=s(3801:4000);
%Energi s0 10 segmen pertama [c1,l1]=wavedec(s1,3,'db5'); [ea1,ed1]=wenergy(c1,l1); [c2,l2]=wavedec(s2,3,'db5'); [ea2,ed2]=wenergy(c2,l2); [c3,l3]=wavedec(s3,3,'db5'); [ea3,ed3]=wenergy(c3,l3); [c4,l4]=wavedec(s4,3,'db5'); [ea4,ed4]=wenergy(c4,l4); [c5,l5]=wavedec(s5,3,'db5'); [ea5,ed5]=wenergy(c5,l5); [c6,l6]=wavedec(s6,3,'db5'); [ea6,ed6]=wenergy(c6,l6); [c7,l7]=wavedec(s7,3,'db5'); [ea7,ed7]=wenergy(c7,l7); [c8,l8]=wavedec(s8,3,'db5'); [ea8,ed8]=wenergy(c8,l8); [c9,l9]=wavedec(s9,3,'db5'); [ea9,ed9]=wenergy(c9,l9); [c10,l10]=wavedec(s10,3,'db5'); [ea10,ed10]=wenergy(c10,l10);
%Energi s0 10 segmen kedua
[c11,l11]=wavedec(s11,3,'db5'); [ea11,ed11]=wenergy(c11,l11); [c12,l12]=wavedec(s12,3,'db5'); [ea12,ed12]=wenergy(c12,l12); [c13,l13]=wavedec(s13,3,'db5'); [ea13,ed13]=wenergy(c13,l13); [c14,l14]=wavedec(s14,3,'db5'); [ea14,ed14]=wenergy(c14,l14); [c15,l15]=wavedec(s15,3,'db5'); [ea15,ed15]=wenergy(c15,l15); [c16,l16]=wavedec(s16,3,'db5'); [ea16,ed16]=wenergy(c16,l16); [c17,l17]=wavedec(s17,3,'db5'); [ea17,ed17]=wenergy(c17,l17); [c18,l18]=wavedec(s18,3,'db5'); [ea18,ed18]=wenergy(c18,l18); [c19,l19]=wavedec(s19,3,'db5'); [ea19,ed19]=wenergy(c19,l19); [c20,l20]=wavedec(s20,3,'db5'); [ea20,ed20]=wenergy(c20,l20);
%penggabungan nilai energi s0 sse1=[ea1,ed1]'; sse2=[ea2,ed2]'; sse3=[ea3,ed3]'; sse4=[ea4,ed4]'; sse5=[ea5,ed5]'; sse6=[ea6,ed6]'; sse7=[ea7,ed7]'; sse8=[ea8,ed8]'; sse9=[ea9,ed9]'; sse10=[ea10,ed10]'; sse11=[ea11,ed11]'; sse12=[ea12,ed12]'; sse13=[ea13,ed13]'; sse14=[ea14,ed14]'; sse15=[ea15,ed15]'; sse16=[ea16,ed16]'; sse17=[ea17,ed17]'; sse18=[ea18,ed18]'; sse19=[ea19,ed19]'; sse20=[ea20,ed20]';
%save data energi
save data_supra_g sse1 sse2 sse3 sse4 sse5 sse6 sse7 sse8 sse9 sse10 sse11 sse12 sse13 sse14 sse15 sse16 sse17 sse18 sse19 sse20
nss13_g=normc(sse13); nss14_g=normc(sse14); nss15_g=normc(sse15); nss16_g=normc(sse16); nss17_g=normc(sse17); nss18_g=normc(sse18); nss19_g=normc(sse19); nss20_g=normc(sse20);
%save data energi ternormalisasi
save norm_supra_g nss1_g nss2_g nss3_g nss4_g nss5_g nss6_g nss7_g nss8_g nss9_g nss10_g nss11_g nss12_g nss13_g nss14_g nss15_g nss16_g nss17_g nss18_g nss19_g nss20_g
Segmentasi v tachyarrhythmia subyek 1
clear clc %ventricular cu01 load cu01.txt %s s=cu01(1:7680,2);
%s pengsegmenan S s1=s(1:200); s2=s(201:400); s3=s(401:600); s4=s(601:800); s5=s(801:1000); s6=s(1001:1200); s7=s(1201:1400); s8=s(1401:1600); s9=s(1601:1800); s10=s(1801:2000); s11=s(2001:2200); s12=s(2201:2400); s13=s(2401:2600); s14=s(2601:2800); s15=s(2801:3000); s16=s(3001:3200); s17=s(3201:3400); s18=s(3401:3600); s19=s(3601:3800); s20=s(3801:4000);
%Energi s0 10 segmen pertama [c1,l1]=wavedec(s1,3,'db5'); [ea1,ed1]=wenergy(c1,l1); [c2,l2]=wavedec(s2,3,'db5'); [ea2,ed2]=wenergy(c2,l2); [c3,l3]=wavedec(s3,3,'db5'); [ea3,ed3]=wenergy(c3,l3); [c4,l4]=wavedec(s4,3,'db5'); [ea4,ed4]=wenergy(c4,l4); [c5,l5]=wavedec(s5,3,'db5'); [ea5,ed5]=wenergy(c5,l5); [c6,l6]=wavedec(s6,3,'db5'); [ea6,ed6]=wenergy(c6,l6); [c7,l7]=wavedec(s7,3,'db5'); [ea7,ed7]=wenergy(c7,l7); [c8,l8]=wavedec(s8,3,'db5'); [ea8,ed8]=wenergy(c8,l8); [c9,l9]=wavedec(s9,3,'db5'); [ea9,ed9]=wenergy(c9,l9); [c10,l10]=wavedec(s10,3,'db5'); [ea10,ed10]=wenergy(c10,l10);
%Energi s0 10 segmen kedua [c11,l11]=wavedec(s11,3,'db5'); [ea11,ed11]=wenergy(c11,l11); [c12,l12]=wavedec(s12,3,'db5'); [ea12,ed12]=wenergy(c12,l12); [c13,l13]=wavedec(s13,3,'db5'); [ea13,ed13]=wenergy(c13,l13); [c14,l14]=wavedec(s14,3,'db5'); [ea14,ed14]=wenergy(c14,l14); [c15,l15]=wavedec(s15,3,'db5'); [ea15,ed15]=wenergy(c15,l15); [c16,l16]=wavedec(s16,3,'db5'); [ea16,ed16]=wenergy(c16,l16); [c17,l17]=wavedec(s17,3,'db5'); [ea17,ed17]=wenergy(c17,l17); [c18,l18]=wavedec(s18,3,'db5'); [ea18,ed18]=wenergy(c18,l18); [c19,l19]=wavedec(s19,3,'db5'); [ea19,ed19]=wenergy(c19,l19); [c20,l20]=wavedec(s20,3,'db5'); [ea20,ed20]=wenergy(c20,l20);
%penggabungan nilai energy s0 vse1=[ea1,ed1]'; vse2=[ea2,ed2]'; vse3=[ea3,ed3]'; vse4=[ea4,ed4]'; vse5=[ea5,ed5]'; vse6=[ea6,ed6]'; vse7=[ea7,ed7]'; vse8=[ea8,ed8]'; vse9=[ea9,ed9]'; vse10=[ea10,ed10]'; vse11=[ea11,ed11]'; vse12=[ea12,ed12]'; vse13=[ea13,ed13]'; vse14=[ea14,ed14]'; vse15=[ea15,ed15]'; vse16=[ea16,ed16]'; vse17=[ea17,ed17]'; vse18=[ea18,ed18]'; vse19=[ea19,ed19]'; vse20=[ea20,ed20]';
%save energi s0
save data_ventri_a vse1 vse2 vse3 vse4 vse5 vse6 vse7 vse8 vse9 vse10 vse11 vse12 vse13 vse14 vse15 vse16 vse17 vse18 vse19 vse20
nvs6_a=normc(vse6); nvs7_a=normc(vse7); nvs8_a=normc(vse8); nvs9_a=normc(vse9); nvs10_a=normc(vse10); nvs11_a=normc(vse11); nvs12_a=normc(vse12); nvs13_a=normc(vse13); nvs14_a=normc(vse14); nvs15_a=normc(vse15); nvs16_a=normc(vse16); nvs17_a=normc(vse17); nvs18_a=normc(vse18); nvs19_a=normc(vse19); nvs20_a=normc(vse20);
%save energi ternormalisasi
save norm_ventri_a nvs1_a nvs2_a nvs3_a nvs4_a nvs5_a nvs6_a nvs7_a nvs8_a nvs9_a nvs10_a nvs11_a nvs12_a nvs13_a nvs14_a nvs15_a nvs16_a nvs17_a nvs18_a nvs19_a nvs20_a
Segmentasi v tachyarrhythmia subyek 7
clear clc %ventricular cu35 load cu35.txt %s s=cu35(1:7680,2);
%s pengsegmenan S s1=s(1:200); s2=s(201:400); s3=s(401:600); s4=s(601:800); s5=s(801:1000); s6=s(1001:1200); s7=s(1201:1400); s8=s(1401:1600); s9=s(1601:1800); s10=s(1801:2000); s11=s(2001:2200); s12=s(2201:2400); s13=s(2401:2600); s14=s(2601:2800); s15=s(2801:3000); s16=s(3001:3200); s17=s(3201:3400); s18=s(3401:3600); s19=s(3601:3800); s20=s(3801:4000);
%Energi s0 10 segmen pertama [c1,l1]=wavedec(s1,3,'db5'); [ea1,ed1]=wenergy(c1,l1); [c2,l2]=wavedec(s2,3,'db5'); [ea2,ed2]=wenergy(c2,l2); [c3,l3]=wavedec(s3,3,'db5'); [ea3,ed3]=wenergy(c3,l3); [c4,l4]=wavedec(s4,3,'db5'); [ea4,ed4]=wenergy(c4,l4); [c5,l5]=wavedec(s5,3,'db5'); [ea5,ed5]=wenergy(c5,l5); [c6,l6]=wavedec(s6,3,'db5'); [ea6,ed6]=wenergy(c6,l6); [c7,l7]=wavedec(s7,3,'db5'); [ea7,ed7]=wenergy(c7,l7); [c8,l8]=wavedec(s8,3,'db5'); [ea8,ed8]=wenergy(c8,l8); [c9,l9]=wavedec(s9,3,'db5'); [ea9,ed9]=wenergy(c9,l9); [c10,l10]=wavedec(s10,3,'db5'); [ea10,ed10]=wenergy(c10,l10);
%Energi s0 10 segmen kedua [c11,l11]=wavedec(s11,3,'db5'); [ea11,ed11]=wenergy(c11,l11); [c12,l12]=wavedec(s12,3,'db5'); [ea12,ed12]=wenergy(c12,l12); [c13,l13]=wavedec(s13,3,'db5'); [ea13,ed13]=wenergy(c13,l13); [c14,l14]=wavedec(s14,3,'db5'); [ea14,ed14]=wenergy(c14,l14); [c15,l15]=wavedec(s15,3,'db5'); [ea15,ed15]=wenergy(c15,l15); [c16,l16]=wavedec(s16,3,'db5'); [ea16,ed16]=wenergy(c16,l16); [c17,l17]=wavedec(s17,3,'db5'); [ea17,ed17]=wenergy(c17,l17); [c18,l18]=wavedec(s18,3,'db5'); [ea18,ed18]=wenergy(c18,l18); [c19,l19]=wavedec(s19,3,'db5'); [ea19,ed19]=wenergy(c19,l19); [c20,l20]=wavedec(s20,3,'db5'); [ea20,ed20]=wenergy(c20,l20);
%penggabungan nilai energi s0 vse1=[ea1,ed1]'; vse2=[ea2,ed2]'; vse3=[ea3,ed3]'; vse4=[ea4,ed4]'; vse5=[ea5,ed5]'; vse6=[ea6,ed6]'; vse7=[ea7,ed7]'; vse8=[ea8,ed8]'; vse9=[ea9,ed9]'; vse10=[ea10,ed10]'; vse11=[ea11,ed11]'; vse12=[ea12,ed12]'; vse13=[ea13,ed13]'; vse14=[ea14,ed14]'; vse15=[ea15,ed15]'; vse16=[ea16,ed16]'; vse17=[ea17,ed17]'; vse18=[ea18,ed18]'; vse19=[ea19,ed19]'; vse20=[ea20,ed20]';
save data_ventri_g vse1 vse2 vse3 vse4 vse5 vse6 vse7 vse8 vse9 vse10 vse11 vse12 vse13 vse14 vse15 vse16 vse17 vse18 vse19 vse20
%normalisasi energi s0 nvs1_g=normc(vse1); nvs2_g=normc(vse2); nvs3_g=normc(vse3); nvs4_g=normc(vse4); nvs5_g=normc(vse5); nvs6_g=normc(vse6); nvs7_g=normc(vse7); nvs8_g=normc(vse8); nvs9_g=normc(vse9); nvs10_g=normc(vse10);
nvs11_g=normc(vse11); nvs12_g=normc(vse12); nvs13_g=normc(vse13); nvs14_g=normc(vse14); nvs15_g=normc(vse15); nvs16_g=normc(vse16); nvs17_g=normc(vse17); nvs18_g=normc(vse18); nvs19_g=normc(vse19); nvs20_g=normc(vse20);
%save energi ternormalisasi
LAMPIRAN B
Kriteria 2 data MLII V1 kriteria 2 subyek 1,3,5 JST A
clear clc
%untuk 4 layer data latih untuk subyek supra satu segmen I load norm_supra_a input1_b7=[nsm1_a;nsv1_a]; input2_b7=[nsm2_a;nsv2_a]; input3_b7=[nsm3_a;nsv3_a]; input4_b7=[nsm4_a;nsv4_a]; input5_b7=[nsm5_a;nsv5_a]; input6_b7=[nsm6_a;nsv6_a]; input7_b7=[nsm7_a;nsv7_a]; input8_b7=[nsm8_a;nsv8_a]; input9_b7=[nsm9_a;nsv9_a]; input10_b7=[nsm10_a;nsv10_a];
%untuk 4 layer data latih untuk subyek supra dua segmen I load norm_supra_c input11_b7=[nsm1_c;nsv1_c]; input12_b7=[nsm2_c;nsv2_c]; input13_b7=[nsm3_c;nsv3_c]; input14_b7=[nsm4_c;nsv4_c]; input15_b7=[nsm5_c;nsv5_c]; input16_b7=[nsm6_c;nsv6_c]; input17_b7=[nsm7_c;nsv7_c]; input18_b7=[nsm8_c;nsv8_c]; input19_b7=[nsm9_c;nsv9_c]; input20_b7=[nsm10_c;nsv10_c];
%untuk 4 layer data latih untuk subyek supra tiga segmen I load norm_supra_e input21_b7=[nsm1_e;nsv1_e]; input22_b7=[nsm2_e;nsv2_e]; input23_b7=[nsm3_e;nsv3_e]; input24_b7=[nsm4_e;nsv4_e]; input25_b7=[nsm5_e;nsv5_e]; input26_b7=[nsm6_e;nsv6_e]; input27_b7=[nsm7_e;nsv7_e]; input28_b7=[nsm8_e;nsv8_e]; input29_b7=[nsm9_e;nsv9_e]; input30_b7=[nsm10_e;nsv10_e];
%untuk 4 layer data latih untuk subyek ventri satu segmen I
load norm_ventri_a input31_b7=[nvm1_a;nvv1_a]; input32_b7=[nvm2_a;nvv2_a]; input33_b7=[nvm3_a;nvv3_a]; input34_b7=[nvm4_a;nvv4_a]; input35_b7=[nvm5_a;nvv5_a]; input36_b7=[nvm6_a;nvv6_a]; input37_b7=[nvm7_a;nvv7_a]; input38_b7=[nvm8_a;nvv8_a]; input39_b7=[nvm9_a;nvv9_a]; input40_b7=[nvm10_a;nvv10_a];
%untuk 4 layer data latih untuk subyek ventri dua segmen I load norm_ventri_c input41_b7=[nvm1_c;nvv1_c]; input42_b7=[nvm2_c;nvv2_c]; input43_b7=[nvm3_c;nvv3_c]; input44_b7=[nvm4_c;nvv4_c]; input45_b7=[nvm5_c;nvv5_c]; input46_b7=[nvm6_c;nvv6_c]; input47_b7=[nvm7_c;nvv7_c]; input48_b7=[nvm8_c;nvv8_c]; input49_b7=[nvm9_c;nvv9_c]; input50_b7=[nvm10_c;nvv10_c];
%untuk 4 layer data latih untuk subyek ventri tiga segmen I load norm_ventri_e input51_b7=[nvm1_e;nvv1_e]; input52_b7=[nvm2_e;nvv2_e]; input53_b7=[nvm3_e;nvv3_e]; input54_b7=[nvm4_e;nvv4_e]; input55_b7=[nvm5_e;nvv5_e]; input56_b7=[nvm6_e;nvv6_e]; input57_b7=[nvm7_e;nvv7_e]; input58_b7=[nvm8_e;nvv8_e]; input59_b7=[nvm9_e;nvv9_e]; input60_b7=[nvm10_e;nvv10_e];
inputa=[input1_b7 input2_b7 input3_b7 input4_b7 input5_b7 input6_b7 input7_b7 input8_b7 input9_b7 input10_b7 input11_b7 input12_b7 input13_b7 input14_b7 input15_b7 input16_b7 input17_b7 input18_b7 input19_b7 input20_b7 input21_b7 input22_b7 input23_b7 input24_b7 input25_b7 input26_b7 input27_b7 input28_b7 input29_b7 input30_b7 input31_b7 input32_b7 input33_b7 input34_b7 input35_b7 input36_b7 input37_b7 input38_b7 input39_b7 input40_b7 input41_b7 input42_b7 input43_b7 input44_b7 input45_b7 input46_b7 input47_b7 input48_b7 input49_b7 input50_b7 input51_b7 input52_b7 input53_b7 input54_b7 input55_b7 input56_b7 input57_b7 input58_b7 input59_b7 input60_b7];
p=[0 1; 0 1; 0 1; 0 1; 0 1; 0 1; 0 1; 0 1];
t=[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1;1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];
%untuk 4 layer data uji untuk subyek supra satu segmen II
load norm_supra_a
input61_b7=[nsm11_a;nsv11_a]; input62_b7=[nsm12_a;nsv12_a]; input63_b7=[nsm13_a;nsv13_a]; input64_b7=[nsm14_a;nsv14_a]; input65_b7=[nsm15_a;nsv15_a]; input66_b7=[nsm16_a;nsv16_a]; input67_b7=[nsm17_a;nsv17_a]; input68_b7=[nsm18_a;nsv18_a]; input69_b7=[nsm19_a;nsv19_a]; input70_b7=[nsm20_a;nsv20_a];
%untuk 4 layer data uji untuk subyek supra dua segmen II
load norm_supra_c
input71_b7=[nsm11_c;nsv11_c]; input72_b7=[nsm12_c;nsv12_c]; input73_b7=[nsm13_c;nsv13_c]; input74_b7=[nsm14_c;nsv14_c]; input75_b7=[nsm15_c;nsv15_c]; input76_b7=[nsm16_c;nsv16_c]; input77_b7=[nsm17_c;nsv17_c]; input78_b7=[nsm18_c;nsv18_c]; input79_b7=[nsm19_c;nsv19_c]; input80_b7=[nsm20_c;nsv20_c];
%untuk 4 layer data uji untuk subyek supra tiga segmen II
load norm_supra_e
input81_b7=[nsm11_e;nsv11_e]; input82_b7=[nsm12_e;nsv12_e]; input83_b7=[nsm13_e;nsv13_e]; input84_b7=[nsm14_e;nsv14_e]; input85_b7=[nsm15_e;nsv15_e]; input86_b7=[nsm16_e;nsv16_e]; input87_b7=[nsm17_e;nsv17_e]; input88_b7=[nsm18_e;nsv18_e]; input89_b7=[nsm19_e;nsv19_e]; input90_b7=[nsm20_e;nsv20_e];
%untuk 4 layer data uji untuk subyek ventri satu segmen II
load norm_ventri_a
input91_b7=[nvm11_a;nvv11_a]; input92_b7=[nvm12_a;nvv12_a]; input93_b7=[nvm13_a;nvv13_a]; input94_b7=[nvm14_a;nvv14_a]; input95_b7=[nvm15_a;nvv15_a]; input96_b7=[nvm16_a;nvv16_a]; input97_b7=[nvm17_a;nvv17_a]; input98_b7=[nvm18_a;nvv18_a]; input99_b7=[nvm19_a;nvv19_a]; input100_b7=[nvm20_a;nvv20_a];
%untuk 4 layer data uji untuk subyek ventri dua segmen II
load norm_ventri_c
input101_b7=[nvm11_c;nvv11_c]; input102_b7=[nvm12_c;nvv12_c]; input103_b7=[nvm13_c;nvv13_c]; input104_b7=[nvm14_c;nvv14_c]; input105_b7=[nvm15_c;nvv15_c]; input106_b7=[nvm16_c;nvv16_c]; input107_b7=[nvm17_c;nvv17_c]; input108_b7=[nvm18_c;nvv18_c]; input109_b7=[nvm19_c;nvv19_c]; input110_b7=[nvm20_c;nvv20_c];
%untuk 4 layer data uji untuk subyek ventri tiga segmen II
load norm_ventri_e
input111_b7=[nvm11_e;nvv11_e]; input112_b7=[nvm12_e;nvv12_e]; input113_b7=[nvm13_e;nvv13_e]; input114_b7=[nvm14_e;nvv14_e]; input115_b7=[nvm15_e;nvv15_e]; input116_b7=[nvm16_e;nvv16_e]; input117_b7=[nvm17_e;nvv17_e]; input118_b7=[nvm18_e;nvv18_e]; input119_b7=[nvm19_e;nvv19_e]; input120_b7=[nvm20_e;nvv20_e];
inputr=[input61_b7 input62_b7 input63_b7 input64_b7 input65_b7 input66_b7 input67_b7 input68_b7 input69_b7 input70_b7 input71_b7 input72_b7 input73_b7 input74_b7 input75_b7 input76_b7 input77_b7 input78_b7 input79_b7 input80_b7 input81_b7 input82_b7 input83_b7 input84_b7 input85_b7 input86_b7 input87_b7 input88_b7 input89_b7 input90_b7 input91_b7 input92_b7 input93_b7 input94_b7 input95_b7 input96_b7 input97_b7 input98_b7 input99_b7 input100_b7 input101_b7 input102_b7 input103_b7 input104_b7 input105_b7 input106_b7 input107_b7 input108_b7 input109_b7 input110_b7 input111_b7 input112_b7 input113_b7 input114_b7 input115_b7 input116_b7 input117_b7 input118_b7 input119_b7 input120_b7];
kriteria 2 subyek 1,3,5 JST B
clear clc
%untuk 4 layer data latih untuk subyek supra satu segmen I load norm_supra_a input1_b8=[nsm1_a;nsv1_a]; input2_b8=[nsm2_a;nsv2_a]; input3_b8=[nsm3_a;nsv3_a]; input4_b8=[nsm4_a;nsv4_a]; input5_b8=[nsm5_a;nsv5_a]; input6_b8=[nsm6_a;nsv6_a]; input7_b8=[nsm7_a;nsv7_a]; input8_b8=[nsm8_a;nsv8_a]; input9_b8=[nsm9_a;nsv9_a]; input10_b8=[nsm10_a;nsv10_a];
%untuk 4 layer data latih untuk subyek supra dua segmen I load norm_supra_c input11_b8=[nsm1_c;nsv1_c]; input12_b8=[nsm2_c;nsv2_c]; input13_b8=[nsm3_c;nsv3_c]; input14_b8=[nsm4_c;nsv4_c]; input15_b8=[nsm5_c;nsv5_c]; input16_b8=[nsm6_c;nsv6_c]; input17_b8=[nsm7_c;nsv7_c]; input18_b8=[nsm8_c;nsv8_c]; input19_b8=[nsm9_c;nsv9_c]; input20_b8=[nsm10_c;nsv10_c];
%untuk 4 layer data latih untuk subyek supra tiga segmen I load norm_supra_e input21_b8=[nsm1_e;nsv1_e]; input22_b8=[nsm2_e;nsv2_e]; input23_b8=[nsm3_e;nsv3_e]; input24_b8=[nsm4_e;nsv4_e]; input25_b8=[nsm5_e;nsv5_e]; input26_b8=[nsm6_e;nsv6_e]; input27_b8=[nsm7_e;nsv7_e]; input28_b8=[nsm8_e;nsv8_e]; input29_b8=[nsm9_e;nsv9_e]; input30_b8=[nsm10_e;nsv10_e];
%untuk 4 layer data latih untuk subyek ventri satu segmen I
load norm_ventri_a input31_b8=[nvm1_a;nvv1_a]; input32_b8=[nvm2_a;nvv2_a]; input33_b8=[nvm3_a;nvv3_a]; input34_b8=[nvm4_a;nvv4_a]; input35_b8=[nvm5_a;nvv5_a]; input36_b8=[nvm6_a;nvv6_a]; input37_b8=[nvm7_a;nvv7_a]; input38_b8=[nvm8_a;nvv8_a]; input39_b8=[nvm9_a;nvv9_a]; input40_b8=[nvm10_a;nvv10_a];
%untuk 4 layer data latih untuk subyek ventri dua segmen I load norm_ventri_c input41_b8=[nvm1_c;nvv1_c]; input42_b8=[nvm2_c;nvv2_c]; input43_b8=[nvm3_c;nvv3_c]; input44_b8=[nvm4_c;nvv4_c]; input45_b8=[nvm5_c;nvv5_c]; input46_b8=[nvm6_c;nvv6_c]; input47_b8=[nvm7_c;nvv7_c]; input48_b8=[nvm8_c;nvv8_c]; input49_b8=[nvm9_c;nvv9_c]; input50_b8=[nvm10_c;nvv10_c];
%untuk 4 layer data latih untuk subyek ventri tiga segmen I load norm_ventri_e input51_b8=[nvm1_e;nvv1_e]; input52_b8=[nvm2_e;nvv2_e]; input53_b8=[nvm3_e;nvv3_e]; input54_b8=[nvm4_e;nvv4_e]; input55_b8=[nvm5_e;nvv5_e]; input56_b8=[nvm6_e;nvv6_e]; input57_b8=[nvm7_e;nvv7_e]; input58_b8=[nvm8_e;nvv8_e]; input59_b8=[nvm9_e;nvv9_e]; input60_b8=[nvm10_e;nvv10_e];
inputa=[input1_b8 input2_b8 input3_b8 input4_b8 input5_b8 input6_b8 input7_b8 input8_b8 input9_b8 input10_b8 input11_b8 input12_b8 input13_b8 input14_b8 input15_b8 input16_b8 input17_b8 input18_b8 input19_b8 input20_b8 input21_b8 input22_b8 input23_b8 input24_b8 input25_b8 input26_b8 input27_b8 input28_b8 input29_b8 input30_b8 input31_b8 input32_b8 input33_b8 input34_b8 input35_b8 input36_b8 input37_b8 input38_b8 input39_b8 input40_b8 input41_b8 input42_b8 input43_b8 input44_b8 input45_b8 input46_b8 input47_b8 input48_b8 input49_b8 input50_b8 input51_b8 input52_b8 input53_b8 input54_b8 input55_b8 input56_b8 input57_b8 input58_b8 input59_b8 input60_b8];
p=[0 1; 0 1; 0 1; 0 1; 0 1; 0 1; 0 1; 0 1];
t=[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1;1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];
A=newff(p,[100,50,45,2],{'purelin','tansig', 'tansig','logsig'},'trainrp'); A.trainParam.show=50; A.trainParam.lr=0.001; A.trainParam.epochs=1000; A.trainParam.goal=1e-5; [A,tr]=train(A,inputa,t);
load norm_supra_a
input61_b8=[nsm11_a;nsv11_a]; input62_b8=[nsm12_a;nsv12_a]; input63_b8=[nsm13_a;nsv13_a]; input64_b8=[nsm14_a;nsv14_a]; input65_b8=[nsm15_a;nsv15_a]; input66_b8=[nsm16_a;nsv16_a]; input67_b8=[nsm17_a;nsv17_a]; input68_b8=[nsm18_a;nsv18_a]; input69_b8=[nsm19_a;nsv19_a]; input70_b8=[nsm20_a;nsv20_a];
%untuk 4 layer data uji untuk subyek supra dua segmen II
load norm_supra_c
input71_b8=[nsm11_c;nsv11_c]; input72_b8=[nsm12_c;nsv12_c]; input73_b8=[nsm13_c;nsv13_c]; input74_b8=[nsm14_c;nsv14_c]; input75_b8=[nsm15_c;nsv15_c]; input76_b8=[nsm16_c;nsv16_c]; input77_b8=[nsm17_c;nsv17_c]; input78_b8=[nsm18_c;nsv18_c]; input79_b8=[nsm19_c;nsv19_c]; input80_b8=[nsm20_c;nsv20_c];
%untuk 4 layer data uji untuk subyek supra tiga segmen II
load norm_supra_e
input81_b8=[nsm11_e;nsv11_e]; input82_b8=[nsm12_e;nsv12_e]; input83_b8=[nsm13_e;nsv13_e]; input84_b8=[nsm14_e;nsv14_e]; input85_b8=[nsm15_e;nsv15_e]; input86_b8=[nsm16_e;nsv16_e]; input87_b8=[nsm17_e;nsv17_e]; input88_b8=[nsm18_e;nsv18_e]; input89_b8=[nsm19_e;nsv19_e]; input90_b8=[nsm20_e;nsv20_e];
%untuk 4 layer data uji untuk subyek ventri satu segmen II
load norm_ventri_a
input91_b8=[nvm11_a;nvv11_a]; input92_b8=[nvm12_a;nvv12_a]; input93_b8=[nvm13_a;nvv13_a]; input94_b8=[nvm14_a;nvv14_a]; input95_b8=[nvm15_a;nvv15_a]; input96_b8=[nvm16_a;nvv16_a]; input97_b8=[nvm17_a;nvv17_a]; input98_b8=[nvm18_a;nvv18_a]; input99_b8=[nvm19_a;nvv19_a]; input100_b8=[nvm20_a;nvv20_a];
%untuk 4 layer data uji untuk subyek ventri dua segmen II
load norm_ventri_c
input101_b8=[nvm11_c;nvv11_c];
input102_b8=[nvm12_c;nvv12_c]; input103_b8=[nvm13_c;nvv13_c]; input104_b8=[nvm14_c;nvv14_c]; input105_b8=[nvm15_c;nvv15_c]; input106_b8=[nvm16_c;nvv16_c]; input107_b8=[nvm17_c;nvv17_c]; input108_b8=[nvm18_c;nvv18_c]; input109_b8=[nvm19_c;nvv19_c]; input110_b8=[nvm20_c;nvv20_c];
%untuk 4 layer data uji untuk subyek ventri tiga segmen II
load norm_ventri_e
input111_b8=[nvm11_e;nvv11_e]; input112_b8=[nvm12_e;nvv12_e]; input113_b8=[nvm13_e;nvv13_e]; input114_b8=[nvm14_e;nvv14_e]; input115_b8=[nvm15_e;nvv15_e]; input116_b8=[nvm16_e;nvv16_e]; input117_b8=[nvm17_e;nvv17_e]; input118_b8=[nvm18_e;nvv18_e]; input119_b8=[nvm19_e;nvv19_e]; input120_b8=[nvm20_e;nvv20_e];
inputr=[input61_b8 input62_b8 input63_b8 input64_b8 input65_b8 input66_b8 input67_b8 input68_b8 input69_b8 input70_b8 input71_b8 input72_b8 input73_b8 input74_b8 input75_b8 input76_b8 input77_b8 input78_b8 input79_b8 input80_b8 input81_b8 input82_b8 input83_b8 input84_b8 input85_b8 input86_b8 input87_b8 input88_b8 input89_b8 input90_b8 input91_b8 input92_b8 input93_b8 input94_b8 input95_b8 input96_b8 input97_b8 input98_b8 input99_b8 input100_b8 input101_b8 input102_b8 input103_b8 input104_b8 input105_b8 input106_b8 input107_b8 input108_b8 input109_b8 input110_b8 input111_b8 input112_b8 input113_b8 input114_b8 input115_b8 input116_b8 input117_b8 input118_b8 input119_b8 input120_b8];
a=sim(A,inputr); v=round(a);
kriteria 2 subyek 1,3,5 JST C
clear clc
%untuk 4 layer data latih untuk subyek supra satu segmen I load norm_supra_a input1_b9=[nsm1_a;nsv1_a]; input2_b9=[nsm2_a;nsv2_a]; input3_b9=[nsm3_a;nsv3_a]; input4_b9=[nsm4_a;nsv4_a]; input5_b9=[nsm5_a;nsv5_a]; input6_b9=[nsm6_a;nsv6_a]; input7_b9=[nsm7_a;nsv7_a]; input8_b9=[nsm8_a;nsv8_a]; input9_b9=[nsm9_a;nsv9_a]; input10_b9=[nsm10_a;nsv10_a];
%untuk 4 layer data latih untuk subyek supra dua segmen I load norm_supra_c input11_b9=[nsm1_c;nsv1_c]; input12_b9=[nsm2_c;nsv2_c]; input13_b9=[nsm3_c;nsv3_c]; input14_b9=[nsm4_c;nsv4_c]; input15_b9=[nsm5_c;nsv5_c]; input16_b9=[nsm6_c;nsv6_c]; input17_b9=[nsm7_c;nsv7_c]; input18_b9=[nsm8_c;nsv8_c]; input19_b9=[nsm9_c;nsv9_c]; input20_b9=[nsm10_c;nsv10_c];
%untuk 4 layer data latih untuk subyek supra tiga segmen I load norm_supra_e input21_b9=[nsm1_e;nsv1_e]; input22_b9=[nsm2_e;nsv2_e]; input23_b9=[nsm3_e;nsv3_e]; input24_b9=[nsm4_e;nsv4_e]; input25_b9=[nsm5_e;nsv5_e]; input26_b9=[nsm6_e;nsv6_e]; input27_b9=[nsm7_e;nsv7_e]; input28_b9=[nsm8_e;nsv8_e]; input29_b9=[nsm9_e;nsv9_e]; input30_b9=[nsm10_e;nsv10_e];
%untuk 4 layer data latih untuk subyek ventri satu segmen I
load norm_ventri_a input31_b9=[nvm1_a;nvv1_a]; input32_b9=[nvm2_a;nvv2_a]; input33_b9=[nvm3_a;nvv3_a]; input34_b9=[nvm4_a;nvv4_a]; input35_b9=[nvm5_a;nvv5_a]; input36_b9=[nvm6_a;nvv6_a]; input37_b9=[nvm7_a;nvv7_a]; input38_b9=[nvm8_a;nvv8_a]; input39_b9=[nvm9_a;nvv9_a]; input40_b9=[nvm10_a;nvv10_a];
%untuk 4 layer data latih untuk subyek ventri dua segmen I load norm_ventri_c input41_b9=[nvm1_c;nvv1_c]; input42_b9=[nvm2_c;nvv2_c]; input43_b9=[nvm3_c;nvv3_c]; input44_b9=[nvm4_c;nvv4_c]; input45_b9=[nvm5_c;nvv5_c]; input46_b9=[nvm6_c;nvv6_c]; input47_b9=[nvm7_c;nvv7_c]; input48_b9=[nvm8_c;nvv8_c]; input49_b9=[nvm9_c;nvv9_c]; input50_b9=[nvm10_c;nvv10_c];
%untuk 4 layer data latih untuk subyek ventri tiga segmen I load norm_ventri_e input51_b9=[nvm1_e;nvv1_e]; input52_b9=[nvm2_e;nvv2_e]; input53_b9=[nvm3_e;nvv3_e]; input54_b9=[nvm4_e;nvv4_e]; input55_b9=[nvm5_e;nvv5_e]; input56_b9=[nvm6_e;nvv6_e]; input57_b9=[nvm7_e;nvv7_e]; input58_b9=[nvm8_e;nvv8_e]; input59_b9=[nvm9_e;nvv9_e]; input60_b9=[nvm10_e;nvv10_e];
inputa=[input1_b9 input2_b9 input3_b9 input4_b9 input5_b9 input6_b9 input7_b9 input8_b9 input9_b9 input10_b9 input11_b9 input12_b9 input13_b9 input14_b9 input15_b9 input16_b9 input17_b9 input18_b9 input19_b9 input20_b9 input21_b9 input22_b9 input23_b9 input24_b9 input25_b9 input26_b9 input27_b9 input28_b9 input29_b9 input30_b9 input31_b9 input32_b9 input33_b9 input34_b9 input35_b9 input36_b9 input37_b9 input38_b9 input39_b9 input40_b9 input41_b9 input42_b9 input43_b9 input44_b9 input45_b9 input46_b9 input47_b9 input48_b9 input49_b9 input50_b9 input51_b9 input52_b9 input53_b9 input54_b9 input55_b9 input56_b9 input57_b9 input58_b9 input59_b9 input60_b9];
p=[0 1; 0 1; 0 1; 0 1; 0 1; 0 1; 0 1; 0 1];
t=[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1;1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];
A=newff(p,[100,70,25,2],{'purelin','tansig', 'tansig','logsig'},'trainrp'); A.trainParam.show=50; A.trainParam.lr=0.001; A.trainParam.epochs=1000; A.trainParam.goal=1e-5; [A,tr]=train(A,inputa,t);
load norm_supra_a
input61_b9=[nsm11_a;nsv11_a]; input62_b9=[nsm12_a;nsv12_a]; input63_b9=[nsm13_a;nsv13_a]; input64_b9=[nsm14_a;nsv14_a]; input65_b9=[nsm15_a;nsv15_a]; input66_b9=[nsm16_a;nsv16_a]; input67_b9=[nsm17_a;nsv17_a]; input68_b9=[nsm18_a;nsv18_a]; input69_b9=[nsm19_a;nsv19_a]; input70_b9=[nsm20_a;nsv20_a];
%untuk 4 layer data uji untuk subyek supra dua segmen II
load norm_supra_c
input71_b9=[nsm11_c;nsv11_c]; input72_b9=[nsm12_c;nsv12_c]; input73_b9=[nsm13_c;nsv13_c]; input74_b9=[nsm14_c;nsv14_c]; input75_b9=[nsm15_c;nsv15_c]; input76_b9=[nsm16_c;nsv16_c]; input77_b9=[nsm17_c;nsv17_c]; input78_b9=[nsm18_c;nsv18_c]; input79_b9=[nsm19_c;nsv19_c]; input80_b9=[nsm20_c;nsv20_c];
%untuk 4 layer data uji untuk subyek supra tiga segmen II
load norm_supra_e
input81_b9=[nsm11_e;nsv11_e]; input82_b9=[nsm12_e;nsv12_e]; input83_b9=[nsm13_e;nsv13_e]; input84_b9=[nsm14_e;nsv14_e]; input85_b9=[nsm15_e;nsv15_e]; input86_b9=[nsm16_e;nsv16_e]; input87_b9=[nsm17_e;nsv17_e]; input88_b9=[nsm18_e;nsv18_e]; input89_b9=[nsm19_e;nsv19_e]; input90_b9=[nsm20_e;nsv20_e];
%untuk 4 layer data uji untuk subyek ventri satu segmen II
load norm_ventri_a
input91_b9=[nvm11_a;nvv11_a]; input92_b9=[nvm12_a;nvv12_a]; input93_b9=[nvm13_a;nvv13_a]; input94_b9=[nvm14_a;nvv14_a]; input95_b9=[nvm15_a;nvv15_a]; input96_b9=[nvm16_a;nvv16_a]; input97_b9=[nvm17_a;nvv17_a]; input98_b9=[nvm18_a;nvv18_a]; input99_b9=[nvm19_a;nvv19_a]; input100_b9=[nvm20_a;nvv20_a];
%untuk 4 layer data uji untuk subyek ventri dua segmen II
load norm_ventri_c
input101_b9=[nvm11_c;nvv11_c];
input102_b9=[nvm12_c;nvv12_c]; input103_b9=[nvm13_c;nvv13_c]; input104_b9=[nvm14_c;nvv14_c]; input105_b9=[nvm15_c;nvv15_c]; input106_b9=[nvm16_c;nvv16_c]; input107_b9=[nvm17_c;nvv17_c]; input108_b9=[nvm18_c;nvv18_c]; input109_b9=[nvm19_c;nvv19_c]; input110_b9=[nvm20_c;nvv20_c];
%untuk 4 layer data uji untuk subyek ventri tiga segmen II
load norm_ventri_e
input111_b9=[nvm11_e;nvv11_e]; input112_b9=[nvm12_e;nvv12_e]; input113_b9=[nvm13_e;nvv13_e]; input114_b9=[nvm14_e;nvv14_e]; input115_b9=[nvm15_e;nvv15_e]; input116_b9=[nvm16_e;nvv16_e]; input117_b9=[nvm17_e;nvv17_e]; input118_b9=[nvm18_e;nvv18_e]; input119_b9=[nvm19_e;nvv19_e]; input120_b9=[nvm20_e;nvv20_e];
inputr=[input61_b9 input62_b9 input63_b9 input64_b9 input65_b9 input66_b9 input67_b9 input68_b9 input69_b9 input70_b9 input71_b9 input72_b9 input73_b9 input74_b9 input75_b9 input76_b9 input77_b9 input78_b9 input79_b9 input80_b9 input81_b9 input82_b9 input83_b9 input84_b9 input85_b9 input86_b9 input87_b9 input88_b9 input89_b9 input90_b9 input91_b9 input92_b9 input93_b9 input94_b9 input95_b9 input96_b9 input97_b9 input98_b9 input99_b9 input100_b9 input101_b9 input102_b9 input103_b9 input104_b9 input105_b9 input106_b9 input107_b9 input108_b9 input109_b9 input110_b9 input111_b9 input112_b9 input113_b9 input114_b9 input115_b9 input116_b9 input117_b9 input118_b9 input119_b9 input120_b9];
a=sim(A,inputr); v=round(a);
Kriteria 3 Data Sig 0
Kriteria 3 subyek 2,5,6_3,4,7 JST D
clear clc
%untuk 4 layer data latih untuk subyek supra satu load norm_supra_b input1_c22=[nss1_b]; input2_c22=[nss2_b]; input3_c22=[nss3_b]; input4_c22=[nss4_b]; input5_c22=[nss5_b]; input6_c22=[nss6_b]; input7_c22=[nss7_b]; input8_c22=[nss8_b]; input9_c22=[nss9_b]; input10_c22=[nss10_b];
%untuk 4 layer data latih untuk subyek supra dua load norm_supra_e input11_c22=[nss1_e]; input12_c22=[nss2_e]; input13_c22=[nss3_e]; input14_c22=[nss4_e]; input15_c22=[nss5_e]; input16_c22=[nss6_e]; input17_c22=[nss7_e]; input18_c22=[nss8_e]; input19_c22=[nss9_e]; input20_c22=[nss10_e];
%untuk 4 layer data latih untuk subyek supra tiga load norm_supra_f input21_c22=[nss1_f]; input22_c22=[nss2_f]; input23_c22=[nss3_f]; input24_c22=[nss4_f]; input25_c22=[nss5_f]; input26_c22=[nss6_f]; input27_c22=[nss7_f]; input28_c22=[nss8_f]; input29_c22=[nss9_f]; input30_c22=[nss10_f];
%untuk 4 layer data latih untuk subyek ventri satu load norm_ventri_b input31_c22=[nvs1_b]; input32_c22=[nvs2_b]; input33_c22=[nvs3_b]; input34_c22=[nvs4_b]; input35_c22=[nvs5_b]; input36_c22=[nvs6_b]; input37_c22=[nvs7_b]; input38_c22=[nvs8_b]; input39_c22=[nvs9_b]; input40_c22=[nvs10_b];
%untuk 4 layer data latih untuk subyek ventri dua
load norm_ventri_e input41_c22=[nvs1_e]; input42_c22=[nvs2_e]; input43_c22=[nvs3_e]; input44_c22=[nvs4_e]; input45_c22=[nvs5_e]; input46_c22=[nvs6_e]; input47_c22=[nvs7_e]; input48_c22=[nvs8_e]; input49_c22=[nvs9_e]; input50_c22=[nvs10_e];
%untuk 4 layer data latih untuk subyek ventri tiga load norm_ventri_f input51_c22=[nvs1_f]; input52_c22=[nvs2_f]; input53_c22=[nvs3_f]; input54_c22=[nvs4_f]; input55_c22=[nvs5_f]; input56_c22=[nvs6_f]; input57_c22=[nvs7_f]; input58_c22=[nvs8_f]; input59_c22=[nvs9_f]; input60_c22=[nvs10_f];
inputa=[input1_c22 input2_c22 input3_c22 input4_c22 input5_c22 input6_c22 input7_c22 input8_c22 input9_c22 input10_c22 input11_c22 input12_c22 input13_c22 input14_c22
input15_c22 input16_c22 input17_c22 input18_c22 input19_c22 input20_c22 input21_c22 input22_c22 input23_c22 input24_c22 input25_c22 input26_c22 input27_c22 input28_c22 input29_c22 input30_c22 input31_c22 input32_c22 input33_c22 input34_c22 input35_c22 input36_c22 input37_c22 input38_c22 input39_c22 input40_c22 input41_c22 input42_c22 input43_c22 input44_c22 input45_c22 input46_c22 input47_c22 input48_c22 input49_c22 input50_c22 input51_c22 input52_c22 input53_c22 input54_c22 input55_c22 input56_c22 input57_c22 input58_c22 input59_c22 input60_c22];
p=[0 1; 0 1; 0 1; 0 1];
t=[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1;1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];
A=newff(p,[100,70,45,2],{'purelin','tansig', 'tansig','logsig'},'trainrp'); A.trainParam.show=30; A.trainParam.lr=0.001; A.trainParam.epochs=1000; A.trainParam.goal=1e-5; [A,tr]=train(A,inputa,t);
input61_c22=[nss11_c]; input62_c22=[nss12_c]; input63_c22=[nss13_c]; input64_c22=[nss14_c]; input65_c22=[nss15_c]; input66_c22=[nss16_c]; input67_c22=[nss17_c]; input68_c22=[nss18_c]; input69_c22=[nss19_c]; input70_c22=[nss20_c];
%untuk 4 layer data uji untuk subyek supra dua load norm_supra_d
input71_c22=[nss11_d]; input72_c22=[nss12_d]; input73_c22=[nss13_d]; input74_c22=[nss14_d]; input75_c22=[nss15_d]; input76_c22=[nss16_d]; input77_c22=[nss17_d]; input78_c22=[nss18_d]; input79_c22=[nss19_d]; input80_c22=[nss20_d];
%untuk 4 layer data uji untuk subyek supra tiga load norm_supra_g
input81_c22=[nss11_g]; input82_c22=[nss12_g]; input83_c22=[nss13_g]; input84_c22=[nss14_g]; input85_c22=[nss15_g]; input86_c22=[nss16_g]; input87_c22=[nss17_g]; input88_c22=[nss18_g]; input89_c22=[nss19_g]; input90_c22=[nss20_g];
%untuk 4 layer data uji untuk subyek ventri satu load norm_ventri_c
input91_c22=[nvs11_c]; input92_c22=[nvs12_c]; input93_c22=[nvs13_c]; input94_c22=[nvs14_c]; input95_c22=[nvs15_c]; input96_c22=[nvs16_c]; input97_c22=[nvs17_c]; input98_c22=[nvs18_c]; input99_c22=[nvs19_c]; input100_c22=[nvs20_c];
%untuk 4 layer data uji untuk subyek ventri dua load norm_ventri_d
input101_c22=[nvs11_d]; input102_c22=[nvs12_d]; input103_c22=[nvs13_d]; input104_c22=[nvs14_d]; input105_c22=[nvs15_d]; input106_c22=[nvs16_d]; input107_c22=[nvs17_d];
input108_c22=[nvs18_d]; input109_c22=[nvs19_d]; input110_c22=[nvs20_d];
%untuk 4 layer data uji untuk subyek ventri tiga load norm_ventri_g
input111_c22=[nvs11_g]; input112_c22=[nvs12_g]; input113_c22=[nvs13_g]; input114_c22=[nvs14_g]; input115_c22=[nvs15_g]; input116_c22=[nvs16_g]; input117_c22=[nvs17_g]; input118_c22=[nvs18_g]; input119_c22=[nvs19_g]; input120_c22=[nvs20_g];
inputr=[input61_c22 input62_c22 input63_c22 input64_c22 input65_c22 input66_c22 input67_c22 input68_c22 input69_c22 input70_c22 input71_c22 input72_c22 input73_c22 input74_c22 input75_c22 input76_c22 input77_c22 input78_c22 input79_c22 input80_c22 input81_c22 input82_c22 input83_c22 input84_c22 input85_c22 input86_c22 input87_c22 input88_c22 input89_c22 input90_c22 input91_c22 input92_c22 input93_c22 input94_c22 input95_c22 input96_c22 input97_c22 input98_c22 input99_c22 input100_c22 input101_c22 input102_c22 input103_c22 input104_c22 input105_c22 input106_c22 input107_c22 input108_c22 input109_c22 input110_c22 input111_c22 input112_c22 input113_c22 input114_c22 input115_c22 input116_c22 input117_c22 input118_c22 input119_c22 input120_c22];
a=sim(A,inputr); v=round(a)
kriteria 3 subyek 12,5,6_3,4,7JST E
clear clc
%untuk 4 layer data latih untuk subyek supra satu load norm_supra_b input1_c23=[nss1_b]; input2_c23=[nss2_b]; input3_c23=[nss3_b]; input4_c23=[nss4_b]; input5_c23=[nss5_b]; input6_c23=[nss6_b]; input7_c23=[nss7_b]; input8_c23=[nss8_b]; input9_c23=[nss9_b]; input10_c23=[nss10_b];
%untuk 4 layer data latih untuk subyek supra dua load norm_supra_e input11_c23=[nss1_e]; input12_c23=[nss2_e]; input13_c23=[nss3_e]; input14_c23=[nss4_e]; input15_c23=[nss5_e]; input16_c23=[nss6_e]; input17_c23=[nss7_e]; input18_c23=[nss8_e]; input19_c23=[nss9_e]; input20_c23=[nss10_e];
%untuk 4 layer data latih untuk subyek supra tiga load norm_supra_f input21_c23=[nss1_f]; input22_c23=[nss2_f]; input23_c23=[nss3_f]; input24_c23=[nss4_f]; input25_c23=[nss5_f]; input26_c23=[nss6_f]; input27_c23=[nss7_f]; input28_c23=[nss8_f]; input29_c23=[nss9_f]; input30_c23=[nss10_f];
%untuk 4 layer data latih untuk subyek ventri satu load norm_ventri_b input31_c23=[nvs1_b]; input32_c23=[nvs2_b]; input33_c23=[nvs3_b]; input34_c23=[nvs4_b]; input35_c23=[nvs5_b]; input36_c23=[nvs6_b]; input37_c23=[nvs7_b]; input38_c23=[nvs8_b]; input39_c23=[nvs9_b]; input40_c23=[nvs10_b];
%untuk 4 layer data latih untuk subyek ventri dua load norm_ventri_e input41_c23=[nvs1_e]; input42_c23=[nvs2_e]; input43_c23=[nvs3_e]; input44_c23=[nvs4_e]; input45_c23=[nvs5_e]; input46_c23=[nvs6_e]; input47_c23=[nvs7_e]; input48_c23=[nvs8_e]; input49_c23=[nvs9_e]; input50_c23=[nvs10_e];
%untuk 4 layer data latih untuk subyek ventri tiga load norm_ventri_f input51_c23=[nvs1_f]; input52_c23=[nvs2_f]; input53_c23=[nvs3_f]; input54_c23=[nvs4_f]; input55_c23=[nvs5_f]; input56_c23=[nvs6_f]; input57_c23=[nvs7_f]; input58_c23=[nvs8_f]; input59_c23=[nvs9_f]; input60_c23=[nvs10_f];
inputa=[input1_c23 input2_c23 input3_c23 input4_c23 input5_c23 input6_c23 input7_c23 input8_c23 input9_c23 input10_c23 input11_c23 input12_c23 input13_c23 input14_c23
input15_c23 input16_c23 input17_c23 input18_c23 input19_c23 input20_c23 input21_c23 input22_c23 input23_c23 input24_c23 input25_c23 input26_c23 input27_c23 input28_c23 input29_c23 input30_c23 input31_c23 input32_c23 input33_c23 input34_c23 input35_c23 input36_c23 input37_c23 input38_c23 input39_c23 input40_c23 input41_c23 input42_c23 input43_c23 input44_c23 input45_c23 input46_c23 input47_c23 input48_c23 input49_c23 input50_c23 input51_c23 input52_c23 input53_c23 input54_c23 input55_c23 input56_c23 input57_c23 input58_c23 input59_c23 input60_c23];
p=[0 1; 0 1; 0 1; 0 1];
t=[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1;1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0];
A=newff(p,[100,80,25,2],{'purelin','tansig', 'tansig','logsig'},'trainrp'); A.trainParam.show=30; A.trainParam.lr=0.001; A.trainParam.epochs=1000; A.trainParam.goal=1e-5; [A,tr]=train(A,inputa,t);
input61_c23=[nss11_c]; input62_c23=[nss12_c]; input63_c23=[nss13_c]; input64_c23=[nss14_c]; input65_c23=[nss15_c]; input66_c23=[nss16_c]; input67_c23=[nss17_c]; input68_c23=[nss18_c]; input69_c23=[nss19_c]; input70_c23=[nss20_c];
%untuk 4 layer data uji untuk subyek supra dua load norm_supra_d
input71_c23=[nss11_d]; input72_c23=[nss12_d]; input73_c23=[nss13_d]; input74_c23=[nss14_d]; input75_c23=[nss15_d]; input76_c23=[nss16_d]; input77_c23=[nss17_d]; input78_c23=[nss18_d]; input79_c23=[nss19_d]; input80_c23=[nss20_d];
%untuk 4 layer data uji untuk subyek supra tiga load norm_supra_g
input81_c23=[nss11_g]; input82_c23=[nss12_g]; input83_c23=[nss13_g]; input84_c23=[nss14_g]; input85_c23=[nss15_g]; input86_c23=[nss16_g]; input87_c23=[nss17_g]; input88_c23=[nss18_g]; input89_c23=[nss19_g]; input90_c23=[nss20_g];
%untuk 4 layer data uji untuk subyek ventri satu load norm_ventri_c
input91_c23=[nvs11_c]; input92_c23=[nvs12_c]; input93_c23=[nvs13_c]; input94_c23=[nvs14_c]; input95_c23=[nvs15_c]; input96_c23=[nvs16_c]; input97_c23=[nvs17_c]; input98_c23=[nvs18_c]; input99_c23=[nvs19_c]; input100_c23=[nvs20_c];
%untuk 4 layer data uji untuk subyek ventri dua load norm_ventri_d
input101_c23=[nvs11_d]; input102_c23=[nvs12_d]; input103_c23=[nvs13_d]; input104_c23=[nvs14_d]; input105_c23=[nvs15_d]; input106_c23=[nvs16_d]; input107_c23=[nvs17_d];
input108_c23=[nvs18_d]; input109_c23=[nvs19_d]; input110_c23=[nvs20_d];
%untuk 4 layer data uji untuk subyek ventri tiga load norm_ventri_g
input111_c23=[nvs11_g]; input112_c23=[nvs12_g]; input113_c23=[nvs13_g]; input114_c23=[nvs14_g]; input115_c23=[nvs15_g]; input116_c23=[nvs16_g]; input117_c23=[nvs17_g]; input118_c23=[nvs18_g]; input119_c23=[nvs19_g]; input120_c23=[nvs20_g];
inputr=[input61_c23 input62_c23 input63_c23 input64_c23 input65_c23 input66_c23 input67_c23 input68_c23 input69_c23 input70_c23 input71_c23 input72_c23 input73_c23 input74_c23 input75_c23 input76_c23 input77_c23 input78_c23 input79_c23 input80_c23 input81_c23 input82_c23 input83_c23 input84_c23 input85_c23 input86_c23 input87_c23 input88_c23 input89_c23 input90_c23 input91_c23 input92_c23 input93_c23 input94_c23 input95_c23 input96_c23 input97_c23 input98_c23 input99_c23 input100_c23 input101_c23 input102_c23 input103_c23 input104_c23 input105_c23 input106_c23 input107_c23 input108_c23 input109_c23 input110_c23 input111_c23 input112_c23 input113_c23 input114_c23 input115_c23 input116_c23 input117_c23 input118_c23 input119_c23 input120_c23];
a=sim(A,inputr); v=round(a)
kriteria 3 subyek 2,5,6_3,4,7 JST F
clear clc
%untuk 4 layer data latih untuk subyek supra satu load norm_supra_b input1_c24=[nss1_b]; input2_c24=[nss2_b]; input3_c24=[nss3_b]; input4_c24=[nss4_b]; input5_c24=[nss5_b]; input6_c24=[nss6_b]; input7_c24=[nss7_b]; input8_c24=[nss8_b]; input9_c24=[nss9_b]; input10_c24=[nss10_b];
%untuk 4 layer data latih untuk subyek supra dua load norm_supra_e input11_c24=[nss1_e]; input12_c24=[nss2_e]; input13_c24=[nss3_e]; input14_c24=[nss4_e]; inpu
