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

• Main Author: Sun, Yan.
• Other Authors: Chan, Kap Luk
• Format: Theses and Dissertations
• 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
• Institution: Nanyang Technological University

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, have been tackled in this thesis.