TITLE

Real-Time Automatic ECG Diagnosis Method Dedicated to Pervasive Cardiac Care

AUTHOR(S)
Haiying Zhou; Kun-Mean Hou; Decheng Zuo
PUB. DATE
November 2009
SOURCE
Wireless Sensor Network;Nov2009, Vol. 1 Issue 4, p276
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Recent developments of the wireless sensor network will revolutionize the way of remote monitoring in different domains such as smart home and smart care, particularly remote cardiac care. Thus, it is challenging to propose an energy efficient technique for automatic ECG diagnosis (AED) to be embedded into the wireless sensor. Due to the high resource requirements, classical AED methods are unsuitable for pervasive cardiac care (PCC) applications. This paper proposes an embedded real-time AED algorithm dedicated to PCC systems. This AED algorithm consists of a QRS detector and a rhythm classifier. The QRS detector adopts the linear time-domain statistical and syntactic analysis method and the geometric feature extraction modeling technique. The rhythm classifier employs the self-learning expert system and the confidence interval method. Currently, this AED algorithm has been implemented and evaluated on the PCC system for 30 patients in the Gabriel Monpied hospital (CHRU of Clermont-Ferrand, France) and the MIT-BIH cardiac arrhythmias database. The overall results show that this energy efficient algorithm provides the same performance as the classical ones.
ACCESSION #
45453348

 

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