Abstract
This paper proposes a method for multiple ECG beats recognition using novel grey relational analysis (GRA). Converts each QRS complex to a Fourier spectrum from ECG signals, the spectrum varies with the rhythm origin and conduction path. The variations of power spectra are observed in the range of 0 Hz-20 Hz in the frequency domain. According to the frequency-domain parameters, GRA performs to recognize the cardiac arrhythmias including the supraventricular ectopic beat, bundle branch ectopic beat, ventricular ectopic beat, and fusion beat. The method was tested on MIT-BIH arrhythmia database. The results demonstrate the efficiency of the proposed non-invasive method, and also show high accuracy for detecting electrocardiogram (ECG) signals.
| Original language | English |
|---|---|
| Pages (from-to) | 2154-2158 |
| Number of pages | 5 |
| Journal | Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference |
| Publication status | Published - 2006 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics