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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Bibliographic Details
Main Author: Sun, Yan.
Other Authors: Chan, Kap Luk
Format: Thesis
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:http://hdl.handle.net/10356/3312

Internet

http://hdl.handle.net/10356/3312

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