Title :
Evaluating arrhythmias in ECG signals using wavelet transforms
Author :
Addison, Paul S. ; Watson, James N. ; Clegg, Gareth R. ; Holzer, Michael ; Sterz, Fritz ; Robertson, Colin E.
Author_Institution :
Fac. of Eng. & Comput., Napier Univ., Edinburgh, UK
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.
Keywords :
electrocardiography; medical signal processing; wavelet transforms; ECG signals; arrhythmias evaluation; biomedical signals analysis; electrodiagnostics; energy-based method; high-resolution log-scale continuous wavelet plots; wavelet time-scale half space; Accidents; Continuous wavelet transforms; Convolution; Electrocardiography; Equations; Frequency; Low-frequency noise; Signal analysis; Wavelet analysis; Wavelet transforms; Animals; Electrocardiography; Heart; Models, Theoretical; Swine; Ventricular Fibrillation;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
