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Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients

Cardiovascular and coronary artery disease diseases complications can be very serious, and it is crucial for a close monitoring and routine rehabilitation activities in order to help patients to get back on their normal lifestyle. Even though most individuals with COVID-19 did recover within weeks o...

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Main Authors: Nor Maniha, Abdul Ghani, Lim, Wei Jie, Hoh, Wei Siang, Salmah Anim, Abu Hassan
Format: Article
Language:English
Published: International Information and Engineering Technology Association 2024
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/41436/1/Rehabilitation%20and%20home%20health%20monitoring%20based-ai%20scheduling%20application.pdf
http://umpir.ump.edu.my/id/eprint/41436/
https://doi.org/10.18280/i2m.230207
https://doi.org/10.18280/i2m.230207
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spelling my.ump.umpir.414362024-07-31T00:45:09Z http://umpir.ump.edu.my/id/eprint/41436/ Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients Nor Maniha, Abdul Ghani Lim, Wei Jie Hoh, Wei Siang Salmah Anim, Abu Hassan QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Cardiovascular and coronary artery disease diseases complications can be very serious, and it is crucial for a close monitoring and routine rehabilitation activities in order to help patients to get back on their normal lifestyle. Even though most individuals with COVID-19 did recover within weeks of ailment, a few individuals still encounter severe long COVID conditions and 'Silent Hypoxia'. Individuals commonly encounter distinctive combinations of long COVID symptoms such as difficulty in breathing, critical heart palpitations, worst sleep quality, dizziness on standing, etc. Silent hypoxia is a condition where patients have an extremely low oxygen level but do not show any symptoms of breathlessness. In order to navigate and resolve the above issues, this work proposes and implements a real-time monitoring towards the changes of patient health data using continuous clinical surveillance solution. The application is an appropriate rehabilitation course that plays a vital role for post discharge patients in providing an improvement for respiratory, cardiovascular, and psychological components. It is very important to provide the visibility of health data in terms of heart rate and VO2 max values to enable emergency respiratory support, important alerts and real-time monitoring. In this work, a novel configuration for home health monitoring and rehabilitation based-AI scheduling system is proposed for coronary artery disease and cardiovascular patients. The Android application introduces a secure health data sharing and smart alerting system to provide full surveillance towards the patient. It will enable the interaction between the smart wearable by using the health kit and artificial intelligence algorithms to schedule the best fit rehabilitation activity based on the patient’s health status and live monitoring by medical practitioners. International Information and Engineering Technology Association 2024-04 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/41436/1/Rehabilitation%20and%20home%20health%20monitoring%20based-ai%20scheduling%20application.pdf Nor Maniha, Abdul Ghani and Lim, Wei Jie and Hoh, Wei Siang and Salmah Anim, Abu Hassan (2024) Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients. Instrumentation Mesure Metrologie, 23 (2). pp. 161-173. ISSN 1631-4670. (Published) https://doi.org/10.18280/i2m.230207 https://doi.org/10.18280/i2m.230207
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Nor Maniha, Abdul Ghani
Lim, Wei Jie
Hoh, Wei Siang
Salmah Anim, Abu Hassan
Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients
description Cardiovascular and coronary artery disease diseases complications can be very serious, and it is crucial for a close monitoring and routine rehabilitation activities in order to help patients to get back on their normal lifestyle. Even though most individuals with COVID-19 did recover within weeks of ailment, a few individuals still encounter severe long COVID conditions and 'Silent Hypoxia'. Individuals commonly encounter distinctive combinations of long COVID symptoms such as difficulty in breathing, critical heart palpitations, worst sleep quality, dizziness on standing, etc. Silent hypoxia is a condition where patients have an extremely low oxygen level but do not show any symptoms of breathlessness. In order to navigate and resolve the above issues, this work proposes and implements a real-time monitoring towards the changes of patient health data using continuous clinical surveillance solution. The application is an appropriate rehabilitation course that plays a vital role for post discharge patients in providing an improvement for respiratory, cardiovascular, and psychological components. It is very important to provide the visibility of health data in terms of heart rate and VO2 max values to enable emergency respiratory support, important alerts and real-time monitoring. In this work, a novel configuration for home health monitoring and rehabilitation based-AI scheduling system is proposed for coronary artery disease and cardiovascular patients. The Android application introduces a secure health data sharing and smart alerting system to provide full surveillance towards the patient. It will enable the interaction between the smart wearable by using the health kit and artificial intelligence algorithms to schedule the best fit rehabilitation activity based on the patient’s health status and live monitoring by medical practitioners.
format Article
author Nor Maniha, Abdul Ghani
Lim, Wei Jie
Hoh, Wei Siang
Salmah Anim, Abu Hassan
author_facet Nor Maniha, Abdul Ghani
Lim, Wei Jie
Hoh, Wei Siang
Salmah Anim, Abu Hassan
author_sort Nor Maniha, Abdul Ghani
title Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients
title_short Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients
title_full Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients
title_fullStr Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients
title_full_unstemmed Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients
title_sort rehabilitation and home health monitoring based-ai scheduling application for coronary artery disease and cardiovascular patients
publisher International Information and Engineering Technology Association
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/41436/1/Rehabilitation%20and%20home%20health%20monitoring%20based-ai%20scheduling%20application.pdf
http://umpir.ump.edu.my/id/eprint/41436/
https://doi.org/10.18280/i2m.230207
https://doi.org/10.18280/i2m.230207
_version_ 1822924546452226048
score 13.235796

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