IoMT Enabled Prototype Edge Computing Healthcare System for Isolated Patients
3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022
; : 256-260, 2022.
Article
in English
| Scopus | ID: covidwho-2136271
ABSTRACT
Continuous patient care and the use of multiple medical machines are two challenges facing today's healthcare sector in terms of patient's healthcare. During the pandemic situation, many people isolated in their home, such as covid-19 positive patients, elderly people living away from their families, bedridden patients, etc., need regular health checks and controls, but during this pandemic is lacking. Recent advances in the Internet of Medical Things (IoMT) has been able to give good results in collecting health data of patients at home environment. Deep learning (DL) applications can able to run on edge nodes, it locally processes, computes and analyzes data from IOMT devices to make inferences on patient health information. This ensures the privacy and security of the patient's physiological information and also and allows patient health information to remain at the patient's side. Send all this information to healthcare professionals and relatives of patients. This framework will provide safety for isolated patients and a health support systemas a whole. © 2022 IEEE.
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Scopus
Language:
English
Journal:
3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022
Year:
2022
Document Type:
Article
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