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Abstract：
In this paper, we propose a personal healthcare system to diagnosis, monitor, identify ectopic heartbeats and provide services for heart diseases patients. The proposed system includes three subsystems, (1) the Electrocardiograph signal acquisition device, (2) the mobile device with APP software for signal processing and communication, and (3) Web service for feature extraction, selection and heartbeat classification based on the support vector machine. The proposed system can identify 16 kinds of heartbeats and it can be used in daily life.
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CONFERENCE PROCEEDINGS OF 2018 IEEE ASIA PACIFIC CONFERENCE ON POSTGRADUATE RESEARCH IN MICROELECTRONICS AND ELECTRONICS (PRIMEASIA 2018)
ISSN： 2159-2144
Year： 2018
Page： 39-42
Language： English
Cited Count：
WoS CC Cited Count： 4
SCOPUS Cited Count：
ESI Highly Cited Papers on the List： 0 Unfold All
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30 Days PV： 1
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