WSEAS Transactions on Electronics
Print ISSN: 1109-9445, E-ISSN: 2415-1513
Volume 10, 2019
UFIR Smoothing in State Space for T-wave Features Analysis
Authors: , ,
Abstract: Measurements of electrocardiogram (ECG) signals are widely used in medicine to provide heart diagnosis, because heart diseases are among most frequent causes of death in a modern world. However, measurement noise often makes it difficult to extract features of ECG signals with a sufficient accuracy. Therefore, many investigations were focused on creating effective techniques for features extraction in ECG signals. In this paper, we extract fiducial features of normal and abnormal T-waves of ECG signals using unbiased smoothing filtering in state space. The results are compared to those obtained using the wavelet transform, morphological transform, and threshold-based detection and show that the approach developed has a higher accuracy. It is also shown that unbiased smoothing filtering allows providing an acceptable discrimination between normal and abnormal ECG signals.
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Pages: 87-93
WSEAS Transactions on Electronics, ISSN / E-ISSN: 1109-9445 / 2415-1513, Volume 10, 2019, Art. #12