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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Bibliographic Details
Main Author: Sun, Yan.
Other Authors: Chan, Kap Luk
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3312
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Institution: Nanyang Technological University
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