Article (Scientific journals)
IoMT based Efficient Vital Signs Monitoring System for Elderly Healthcare Using Neural Network
Patel, Warish D.; Patel, Chirag; Valderrama, Carlos
2019In International Journal of Research, VIII (I), p. 239-244
Peer reviewed
 

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Keywords :
[en] ECG; [en] Machine Learning; [en] Deep Neural Networks; [en] IoT
Abstract :
[en] Internet of Things is a new emerging technology by which devices can communicate using the internet. The proposed work, An Efficient Vital Signs Monitoring System for Elderly, states that how to apply Internet of Things in Healthcare using Machine Learning Techniques. Indeed, connecting the Internet of Medical Things (IoMT) to the patient/elderly will be helping Doctors and Caregivers to monitor him or her in real-time around the globe. The IoMT devices will collect Vital Signs data such as body temperature, pulse rate, heartbeats (signals), using ECG (Electrocardiogram) sensor, Temperature sensor, etc. That will be stored in the Cloud System and it will synchronize with the local server. Machine Learning comes to analyze those data to identify health risks and estimate severity in real-time by using its Algorithms. The Proposed System, based on Deep Neural Networks (DNN) and IoMT can differentiate between Normal and Abnormal Heartbeats and classify different Abnormal Rhythms. Such techniques will be very useful for physicians to detect possible health problems and deliver appropriate medical assistance on time to serve elderly in a better way. Keywords -Abnormal Rhythms, ECG, Raspberry Pi 3, IoMT, Heartbeats, Electrocardiogram, Deep Neural Networks, Machine Learning, TensorFlow GPU.
Research center :
CRTI - Centre de Recherche en Technologie de l'Information
Disciplines :
Computer science
Electrical & electronics engineering
Physics
Library & information sciences
Author, co-author :
Patel, Warish D.
Patel, Chirag
Valderrama, Carlos  ;  Université de Mons > Faculté Polytechnique > Service d'Electronique et Microélectronique
Language :
English
Title :
IoMT based Efficient Vital Signs Monitoring System for Elderly Healthcare Using Neural Network
Publication date :
16 January 2019
Journal title :
International Journal of Research
ISSN :
2236-6124
Volume :
VIII
Issue :
I
Pages :
239-244
Peer reviewed :
Peer reviewed
Research unit :
F109 - Electronique et Microélectronique
Research institute :
R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques
Commentary :
WEBJournal: http://ijrpublisher.com/CURRENT-ISSUE/ WEB: http://ijrpublisher.com/gallery/34-january-822.pdf
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since 16 January 2019

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