www.ietdl.orgPublished in IET Signal Processing Received on 28th May 2010 Revised on 4th March 2011 doi: 10.1049/iet-spr.2010.0138 ISSN 1751-9675 ECG beat classification using features extracted from Teager energy functions in time and frequency domains C. Kamath Ex. Professor, Electronics and Communication Department, Manipal Institute of Technology, Manipal 576104, India E-mail: kamath.chandrakar@gmail.com Abstract: It is hypothesised that a key characteristic of ECG signal is its non-linear dynamic behaviour and that the non-linear component changes more significantly between normal and arrhythmia conditions than the linear component. This study makes an attempt to analyse ECG beats from an energy point of view by accounting for the features derived from non-linear component in time and frequency domains using Teager energy operator (TEO). The key feature of TEO is that it models the energy of the source that generated the signal rather than the energy of the signal i
