Evaluating arrhythmias in ECG signals using wavelet transforms.

Addison, Paul; Watson, J N; Clegg, Gareth R; Holzer, M; Sterz, F; Robertson, C E

Abstract

Recent work has attempted to utilize wavelet techniques in the analysis of biomedical signals including ECGs. Here, the authors present an energy-based method of interrogating the ECG in VF using high-resolution, log-scale continuous wavelet plots. With this method, underlying structures within the VF waveform are made visible in the wavelet time-scale half space.

Citation

Addison, P., Watson, J. N., Clegg, G. R., Holzer, M., Sterz, F., & Robertson, C. E. (2000). Evaluating arrhythmias in ECG signals using wavelet transforms. IEEE engineering in medicine & biology magazine the quarterly magazine of the Engineering in Medicine & Biology Society, 19, 104-109. https://doi.org/10.1109/51.870237

• Journal Article Type: Article
• Publication Date: 2000
• Deposit Date: Mar 26, 2015
• Print ISSN: 0739-5175
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Pages: 104-109
• DOI: https://doi.org/10.1109/51.870237
• Keywords: ECG signals; arrhythmias evaluation; biomedical signals analysis; electrodiagnostics; energy-based method; ; high-resolution log-scale continuous wavelet plots;; wavelet time-scale half space
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/7714
• Publisher URL: http://dx.doi.org/10.1109/51.870237