Arrhythmia recognition from electrocardiogram using non-linear analysis and unsupervised clustering techniques

Arrhythmia recognition from electrocardiogram using non-linear analysis and unsupervised clustering techniques

In this dissertation, a new analytical framework for arrhythmia recognition in ECG signals using nonlinear analysis and unsupervised clustering techniques is developed. The problem of ECG signal conditioning, ECG episode characterization, characteristic wave detection, and arrhythmia recognition, ha...

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書目詳細資料
主要作者:	Sun, Yan.
其他作者:	Chan, Kap Luk
格式:	Theses and Dissertations
出版:	2008
主題:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
在線閱讀:	http://hdl.handle.net/10356/3312
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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