R EFERENCES
6. Conclusion
With a subtle positioning of the EEG signal acquisition and related devices in a typical helmet of a worker, a novel
suite of options for monitoring, detecting and aiding workers on-site becomes possible, easier and helps eliminate
avoidable accidents/incidents by the alert mechanism in-built. A host of new creative applications can be thought
for exploring the approach in varied applications with minimal re-engineering. A number of enhancements including
conductive fabric EEG, an algorithm for indoor positioning and helmet to helmet communication rather than a central
access point are being actively considered for future models.
952
6 Sameer Raju Dhole et al.Sameer Raju Dhole et al. / Procedia Computer Science 151 (2019) 947–952
/Procedia Computer Science 00 (2019) 000–000Fig. 4. Activity Statistics
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ScienceDirect
Available online at www.sciencedirect.com
Procedia Computer Science 192 (2021) 3751–3760
1877-0509 © 2021 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of KES International.
10.1016/j.procs.2021.09.149
10.1016/j.procs.2021.09.149 1877-0509
© 2021 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of KES International.
Available online at www.sciencedirect.com
Procedia Computer Science 00 (2021) 000–000
www.elsevier.com/locate/procedia
25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems
MedPlus - a cross-platform application that allows remote patient monitoring
Andra-Elena Gˆıs¸tescu
∗, Teodor Proca
∗∗, Camelia-Maria Milut¸, Adrian Iftene
Faculty of Computer Science, Alexandru Ioan Cuza University, Strada General Henri Mathias Berthelot Nb. 16, Iasi, 700259, Romania
Abstract
Healthcare is a vital human need and always had an important role in our lives, especially in the last year when the pandemic context raised a call for innovative and safe delivery methods. Together with the enlargement in the use of wearable sensors and smartphones, remote healthcare monitoring applications have unfolded at a fast pace, helping with the prevention of spreading diseases as well as to strengthen, help, and assist the health of a patient when a doctor is not physically available. This paper proposes a remote patient monitoring system within an application whose purpose is to bring patients closer to vital medical care.
Based on voice interaction and wearable sensors, our application congregates the health data through the Google Fit app from the patient’s phone, and then it conducts analysis and sends automatic data alerts for detected anomalies, providing an appealing interface and capabilities to make it engaging to all age groups. Moreover, every patient is under the supervision of a doctor who is constantly monitoring the patient’s profile, ensuring assistance through presumptive diagnosis, treatments, or pieces of advice for boosting the quality of lifestyle.
© 2021 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the KES International.
Keywords: E-Health; Patient Monitoring; Healthcare; Speech Recognition.
1. Introduction
The design of health monitoring systems has become a burning issue. Humans are facing the challenge of an un- expected death, due to various illnesses caused by the lack of medical care or because of late diagnosis. Patients in hospitals or at home are under-monitored. To bring solutions for these issues, patient monitoring applications gather health data from wearable, various smart sensors, health trackers, and send them o ff to specialists [1]. These systems are dedicated to patient care, and through telemedicine, interactive media, and the development of alternative tech- nologies are contributing to strengthening consultations and clinical monitoring, as well as proposing valid solutions
∗
Corresponding author. Tel.:
+4-073-675-2504.∗∗
Corresponding author. Tel.:
+4-075-442-3806.E-mail address:
[email protected], [email protected] 1877-0509
©2021 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the KES International.
Available online at www.sciencedirect.com
Procedia Computer Science 00 (2021) 000–000
www.elsevier.com/locate/procedia
25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems
MedPlus - a cross-platform application that allows remote patient monitoring
Andra-Elena Gˆıs¸tescu
∗, Teodor Proca
∗∗, Camelia-Maria Milut¸, Adrian Iftene
Faculty of Computer Science, Alexandru Ioan Cuza University, Strada General Henri Mathias Berthelot Nb. 16, Iasi, 700259, Romania
Abstract
Healthcare is a vital human need and always had an important role in our lives, especially in the last year when the pandemic context raised a call for innovative and safe delivery methods. Together with the enlargement in the use of wearable sensors and smartphones, remote healthcare monitoring applications have unfolded at a fast pace, helping with the prevention of spreading diseases as well as to strengthen, help, and assist the health of a patient when a doctor is not physically available. This paper proposes a remote patient monitoring system within an application whose purpose is to bring patients closer to vital medical care.
Based on voice interaction and wearable sensors, our application congregates the health data through the Google Fit app from the patient’s phone, and then it conducts analysis and sends automatic data alerts for detected anomalies, providing an appealing interface and capabilities to make it engaging to all age groups. Moreover, every patient is under the supervision of a doctor who is constantly monitoring the patient’s profile, ensuring assistance through presumptive diagnosis, treatments, or pieces of advice for boosting the quality of lifestyle.
© 2021 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the KES International.
Keywords: E-Health; Patient Monitoring; Healthcare; Speech Recognition.
1. Introduction
The design of health monitoring systems has become a burning issue. Humans are facing the challenge of an un- expected death, due to various illnesses caused by the lack of medical care or because of late diagnosis. Patients in hospitals or at home are under-monitored. To bring solutions for these issues, patient monitoring applications gather health data from wearable, various smart sensors, health trackers, and send them off to specialists [1]. These systems are dedicated to patient care, and through telemedicine, interactive media, and the development of alternative tech- nologies are contributing to strengthening consultations and clinical monitoring, as well as proposing valid solutions
∗
Corresponding author. Tel.:
+4-073-675-2504.∗∗
Corresponding author. Tel.:
+4-075-442-3806.E-mail address: