Combined Matching Pursuit and Wigner-Ville Distribution Analysis for the Discrimination of Ictal Heart Rate Variability
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© 2016 IEEE. This paper presents a novel method for the discrimination of ictal heart rate variability (HRV). Traditionally, the analysis of the non-linear and non-stationary electrocardiogram (ECG) signal is limited to the time-domain or frequency-domain. This severely limits the quality of features that can be extracted from the ECG signal. In this work, HRV extracted from ECG is analyzed by combining the Matching-Pursuit (MP) and Wigner-Ville Distribution (WVD) algorithms in order to obtain a high quality time-frequency distribution of the HRV signal and to effectively extract meaningful HRV features representative of seizure and non-seizure states. The proposed method is tested on clinical patients and the results demonstrate effective discrimination between ictal HRV features and non-ictal HRV features.
author list (cited authors)
Qaraqe, M., Ismail, M., & Serpedin, E.