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Please use this identifier to cite or link to this item: http://173.208.131.244:9060/xmlui/handle/123456789/977
Title: Application of continuous-time wavelet entropy for detection of cardiac repolarisation alternans
Authors: Bakhshi, Asim Dilawer
Bashir, Sajid
Loan, Asim
Maud, Muhammad Ali
Keywords: Medical and Health Sciences
Electrocardiography
Medical signal detection
Wavelet transforms
Truncated Morlet function
Simulated alternan waveform
Relative wavelet energy coefficient
Ventricular repolarisation complex
Surface electrocardiography
Malignant ventricular arrhythmias
Cardiac repolarisation alternan detection
Continuous-time wavelet entropy
Issue Date: 30-Sep-2013
Publisher: IET Signal Processing
Abstract: Prognostic utility of microvolt T-wave alternans (TWAs) has been established since its clinical acceptance as markers for malignant ventricular arrhythmias, leading to sudden cardiac death. Accurate detection of TWA from surface electrocardiography is a challenge because of invisible nature of the phenomenon. A novel TWA detection scheme based upon analysis of continuous-time wavelet entropy (CTWE) trend of consecutive ventricular repolarisation complexes is presented. The CTWE is computed using relative wavelet energy coefficients of continuous wavelet transform. Variety of simulated alternan waveforms, wavelet functions, frequency bands and noise levels are used to test the algorithm. The algorithm achieves a sensitivity of 100% at signal-to-noise ratio (SNR) >35 dB for all the selected wavelet functions and sensitivities of 99.5, 97 and 92% for Symlet4, Mexican Hat and truncated Morlet functions, respectively, at 30 dB SNR. A performance improvement of 5 dB is achieved by only computing the wavelet coefficients at the optimal frequency band. This study concludes that CTWE can successfully characterise the heterogeneity of cardiac repolarisation and detect TWA phenomenon
URI: http://173.208.131.244:9060/xmlui/handle/123456789/977
ISSN: 1751-9683
Appears in Collections:Journals

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