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Bagus Kumbara,2015

KLASIFIKASI DAN EKSTRAKSI SINYAL EEG-P300 MENGGUNAKAN SUPPORT VECTOR MACHINE UNTUK DETEKSI KEBOHONGAN

Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu

DAFTAR PUSTAKA

Aapo, Hyvarinen., Juha, Karhunen., Erkki, Oja. (2001). Independent Component Analysis, John Wiley & Sons, inc: New York.

Abootalebi, Vahid., Moradi, M Hassan., Khalilzadeh, M Ali. (2009). A new approach for EEG feature extraction in P300-based lie detection. Computer methods and programs in biomedicine, vol.94 hlm.48-57.

Ahmed, K. S. (2011). Wheelchair movement control via human eye blinks. American journal of biomedical engineering, vol.1 hlm.55-58.

Akhtar, M.T., Mitsuhashi, W., James, C.J. Employing spatially constrained ICA and wavelet denoising, for automatic removal of artifacts from multichannel EEG data. (2012). Signal Processing, vol.27 pp.401–416.

Akram, F., Han, H.-S., & Kim, T.-S. (2014). A P300-based brain computer interface system for words typing. Computers in Biology and Medicine, vol.45 hlm.118-125.

Amri, Moch. Choirul., Adil, Ratna. (t.t). Rancang Bangun Modul EEG Untuk Pengkalisifikasikan Keaadaan Stress dengan FIR. Departemen Teknik Elektronika, Politeknik Elektronika Negeri Surabaya.

Bi, Luzheng., Fan,Xin-An., Liu,Yili. (2013). EEG-Based Brain-Controlled Mobile Robots: A Survey. IEEE Transactions ON Human-Machine Systems, Vol. 43, No. 2, March 2013.

Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kubler, A., Perelmouter, J., Taub, E., Flor, H. (1999). "A Spelling Device for the Paralysed". Nature, vol.398 hlm. 297-298.

Gourab, Krishnaj., Schmit, Brian D. (2010). Changes in movement-related b-band EEG signals in human spinal cord injury. Clinical Neurophysiology, vol.121 hlm.2017–2023.

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Bagus Kumbara,2015

KLASIFIKASI DAN EKSTRAKSI SINYAL EEG-P300 MENGGUNAKAN SUPPORT VECTOR MACHINE UNTUK DETEKSI KEBOHONGAN

Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu

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Hazrati, M. K., & Erfanian, A. (2010). An online EEG-based brain–computer interface for controlling hand grasp using an adaptive probabilistic neural network. Medical Engineering & Physics, vol.32 hlm.730-739. Hsu, Wei-Yen. (2010). EEG-based motor imagery classification using

neuro-fuzzy prediction and wavelet fractal features. Journal of Neuroscience Methods, vol.189 hlm.295-302.

Hwang, Han-Jeong., lim, Jeong-Hwan., Jung, Young-jin., Choi, Han., Lee, Sang Woo., Im, Chang-Hwan. (2012). Development of an SSVEP-based BCI spelling system adopting a QWERTY-style LED keyboard. Journal of Neuroscience Methods, vol.208 hlm.59–65.

Jahankhani, Pari., Kodogiannis, Vassilis., Revett, Kenneth. (2006). EEG signal classification using wavelet feature extraction and neural networks. IEEE John Vincent Atanasoff 2006 International Symposium on

Modern Computing.

Kalcher, J., Flotzinger, D., Neuper, Ch., Golly, S., Pfurtscheller, G. (1996). Graz braincomputer interface II: towards communication between humans and computers based on online classification of three different EEG patterns. Medical and Biological Engineering and Computing, vol.34 hlm.382-388.

Karyawan, Moch A., Arifin, Agus Z., Saikhu, Ahmad. (2011). Klasisfikasi Sinyal EEG Menggunakan Koefisien Autoregresif, E-score dan Least Square

Support Vector Machine. Institut Teknologi Sepuluh November.

Surabaya.

Kusumandari, D. E., Fakhrurroja, H., Hutagalung, S., Kumbara, B., Simarmata, J., Turnip, A. (2014). Removal of EOG Artifacts: Comparison of ICA Algorithm from Recording EEG. International Conferences on Technology, Informatics, Management, Engineering & Environtment.

Middendorf, Matthew., McMillan, G., Calhoun, G., Jones, Keith S. (2000). Brain-computer interfaces based on the steady-state visual-evoked response, IEEE TRANSACTIONS ON REHABILITATION ENGINEERING,

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Nugroho, A Satrio., Witarto, A Budi., Handoko, Dwi. (2003). Support Vector Mahcine-Teori dan Aplikasinya dalam Bioinformatika. IlmuKomputer.com.

Pardede, J., Turnip, M., Manalu, D. R., Turnip, A. (2015). Adaptive Recurrent Neural Network for Reduction og Noise and Estimation of Source from Recorded EEG Signals. ARPN Journal of Engineering and Applied Sciences, vol.10 hlm.993-997.

Proakis, John G., Manolakis, Dimitris G. (2007). Digital Signal Processing Fourth Edition. New Jersey:Pearson education.

Ranky, G. N., & Adamovich, S. (2010). Analysis of a Commercial EEG Device for the Control of a Robot Arm. IEEE.

Sanei, S., Chambers, J.A. (2007). EEG Signal Processing. John Wiley and Sons. Sellers, Eric W., Keusienski, Dean J., McFarland, Dennis J., Vaughan, Teresa M.,

Wolpaw, Jonathan R. (2006). A P300 event-related potential brain– computer interface (BCI): The effects of matrix size and inter stimulus interval on performance. Biological Psychology, vol.73 hlm.242-252. Shishkin, S. L., Ganin, I. P., & Kaplan, A. Y. (2011 ). Event-related potentials in a

moving matrix modification of the P300 brain–computer interface paradigm. Neuroscience Letters, vol.496 hlm.95-99.

Singla, Rajesh., B.a,Haseena. (2013). BCI Based Wheelchair Control Using Steady State Visual Evoked Potentials adn Support Vector Machine. International Journal of Soft Computing and Engineering (IJSCE),

vol.3.

Soetraprawata, D., Turnip, A. (2013). Autoregressive Integrated Adaptive Neural Network Classifier for EEG-P300 Classification. Journal of Mechatronics, Electrical Power and Vehicular Technology, vol.4

hlm.1-8.

Sugiarto, Indar. (t.t). Sistem BCI Berbasis Low Density EEG. Fakultas Teknologi Industri, Universitas Kristen Petra.

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Turnip, A. (2012). Feature Extraction and Classification of EEG-P300 Signals, and Its application to Online Brain Computer Interface. (Tesis). The Graduate School, Pusan National University, Korea.

Trunip, A., Kusumandari, D. E. (2014). Improvement of BCI performance throught nonlinear independent component analysis extraction. Journal of Computer, vol.9 hlm.688-695.

Turnip, A., Hutagalung, S. S., Pardede, J., Soetraprawata, D. (2013). P300 Detection using multilayer neural networks based adaptive feature extraction method. International Journal of Brain and Cognitive Science, vol.2 hlm.63-75.

Turnip, A., Hong, K.-S. (2012). Classifying mental activities from EEG-P300 signals using adaptive neural network. International Journal of Innovative Computing, Information and Control (IJICIC), vol.8.

Turnip, A., Hong, K.-S., Jeong, M.-Y. (2011). Real-time feature extraction of P300 component using adaptive nonlinear principal component analysis. Journal of BioMedical Engineering OnLine, vol.10, no.83. Turnip, A., & Soetraprawata, D. (2013). Performance of EEG-P300 Classification

Using Backpropagation Neural Networks. Journal of Mechatronics, Electrical Power and Vehicular Technology.

Turnip, A. (2015). Comparison of ICA-based JADE and SOBI Methods EOG Artifacts Removal. Journal of Medical and Bioengineering.

Turnip, A., Siahaan, M. (2014). Adaptive Principal Component Analysis based Recursive Least Square for Artifact Removal of EEG Signals. Advanced Science Letter, vol.20 hlm.2034-2037.

Turnip, A., Setiawan, I. R., Junaidi, E., Hoa, N. L. (2014). An Experiment of Ocular Artifacts Elimination from EEG Signals Using ICA and PCA Methods. Journal of Mechatronics, Electrical Power and Vehicular Technology, vol.5 hlm.129-138.

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Turnip, A. (2014). Automatic Artifacts Removal of EEG Signals using Robust Principal Component Analysis. International Conferences on Technology, Informatics, Management, Engineering & Environtment.

Turnip, A., Soetraprawata, D., Hariyadi., Kusumandari, D. E. (2013). Sequential extended Kalman Filter on EEG extraction and classification. Teknologi Indonesia, vol.36.

Turnip, A., Kusumandari, D. E. (2014). Nonlinear Adaptive Filter for EEG-P300 Extraction based Four Inter-Stimulus Intervals. Journal of Information and Communication Technology.

Wang, Y.-K., Chen, S.-A., Lin, C.-T. (2014). An EEG-based brain– computer interface for dual task driving detection. Neurocomputing, vol.129 hlm.85-93.

Wikipedia. (2013). Kebohongan [Online] Tersedia di

http://id.wikipedia.org/wiki/Kebohongan [Diakses 12 Desember 2014] Zandi, A Shahidi., Javidan, Manouchehr., Dumont, Guy A., Tafreshi, Reza.

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