Resampling of ECG signal for improved morphology alignment

Proposed is a piecewise-uniform resampling technique for an ECG signal. Different waves of a heartbeat signal are resampled at different rates. The proposed method was tested on a large number of ECG signals with high and low sampling resolutions. It has been found that the piecewise-uniform resampling method helps to improve the morphology alignment in general. This improvement is significant (e.g. 206%) when the durations of different heartbeats vary largely. Improved morphology alignment of resampled heartbeats could be useful in many applications such as cardiovascular engineering and ECG-based biometrics.

[1]  W. Todd Scruggs,et al.  eigenPulse: Robust human identification from cardiovascular function , 2008, Pattern Recognit..

[2]  Pablo Laguna,et al.  Bioelectrical Signal Processing in Cardiac and Neurological Applications , 2005 .

[3]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[4]  Sam Kwong,et al.  Hilbert-Huang Transform for Analysis of Heart Rate Variability in Cardiac Health , 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[5]  Leif Sörnmo,et al.  Chapter 3 – EEG Signal Processing , 2005 .

[6]  Farid Melgani,et al.  Classification of Electrocardiogram Signals With Support Vector Machines and Particle Swarm Optimization , 2008, IEEE Transactions on Information Technology in Biomedicine.