Photoplethysmography based remote health monitoring system
One of the world's most leading killer diseases is the cardiovascular disease, which accounts for 16.7 million deaths annually. Out of the total population in the world, about 22 million people run the risk of sudden heart failure. However, saving the lives of cardiac patients can be improv...
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iium-332372013-12-16T02:50:12Z http://irep.iium.edu.my/33237/ Photoplethysmography based remote health monitoring system Harbawi, Malek A. Ibrahimy, Muhammad Ibn Motakabber, S. M. A. T Technology (General) One of the world's most leading killer diseases is the cardiovascular disease, which accounts for 16.7 million deaths annually. Out of the total population in the world, about 22 million people run the risk of sudden heart failure. However, saving the lives of cardiac patients can be improved by the emergency monitoring so that the initiation of treatment can be taken up within the crucial hour. The acquired signals by pulse oximetry provide significant information about the heart-rate, arterial blood oxygenation, blood pressure and respiratory-rate. Telemedicine provides a great impact in the emergency monitoring of patients located in remote nonclinical environments. A home cardiac telemedicine emergency system based on photoplethysmography has been developed. The acquired signals are processed, transmitted and stored in a local PC. Finally, the data are sent to the remote terminal located at the hospital through internet. The diagnoses are done by specialists from the reading and action can be immediately taken in emergency cases. 2013-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/33237/1/Malek.pdf Harbawi, Malek A. and Ibrahimy, Muhammad Ibn and Motakabber, S. M. A. (2013) Photoplethysmography based remote health monitoring system. In: IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2013), 26 - 27 November 2013, Kuala Lumpur, Malaysia. http://ims.ieeemalaysia.org/icsima/13/ |
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T Technology (General) Harbawi, Malek A. Ibrahimy, Muhammad Ibn Motakabber, S. M. A. Photoplethysmography based remote health monitoring system |
description |
One of the world's most leading killer diseases is
the cardiovascular disease, which accounts for 16.7 million deaths
annually. Out of the total population in the world, about 22
million people run the risk of sudden heart failure. However,
saving the lives of cardiac patients can be improved by the
emergency monitoring so that the initiation of treatment can be
taken up within the crucial hour. The acquired signals by pulse
oximetry provide significant information about the heart-rate,
arterial blood oxygenation, blood pressure and respiratory-rate.
Telemedicine provides a great impact in the emergency
monitoring of patients located in remote nonclinical
environments. A home cardiac telemedicine emergency system
based on photoplethysmography has been developed. The
acquired signals are processed, transmitted and stored in a local
PC. Finally, the data are sent to the remote terminal located at
the hospital through internet. The diagnoses are done by
specialists from the reading and action can be immediately taken
in emergency cases. |
format |
Conference or Workshop Item |
author |
Harbawi, Malek A. Ibrahimy, Muhammad Ibn Motakabber, S. M. A. |
author_facet |
Harbawi, Malek A. Ibrahimy, Muhammad Ibn Motakabber, S. M. A. |
author_sort |
Harbawi, Malek A. |
title |
Photoplethysmography based remote health monitoring system |
title_short |
Photoplethysmography based remote health monitoring system |
title_full |
Photoplethysmography based remote health monitoring system |
title_fullStr |
Photoplethysmography based remote health monitoring system |
title_full_unstemmed |
Photoplethysmography based remote health monitoring system |
title_sort |
photoplethysmography based remote health monitoring system |
publishDate |
2013 |
url |
http://irep.iium.edu.my/33237/ http://irep.iium.edu.my/33237/ http://irep.iium.edu.my/33237/1/Malek.pdf |
first_indexed |
2023-09-18T20:48:02Z |
last_indexed |
2023-09-18T20:48:02Z |
_version_ |
1777409807323496448 |