Real-Time Electrocardiogram Waveform Classification Using Self-Organization Neural Network

Real-Time Electrocardiogram Waveform Classification Using Self-Organization Neural Network

碩士 === 逢甲大學 === 自動控制工程所 === 96 === In this study, a self-organizing neural network system is presented to classify the real-time electrocardiogram (ECG) signal. This system can not only organize analog waveforms but also output the recognition codes. The system contains a pre-processor and a self-or...

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Bibliographic Details
Main Authors:	Chun-Lin Hsu, 許濬麟
Other Authors:	CHUANG-CHIEN CHIU
Format:	Others
Language:	zh-TW
Published:	2008
Online Access:	http://ndltd.ncl.edu.tw/handle/19345880895232565074

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