Open AccessECG signal analysis using modified S‐transform
Author(s) -
Biswal Birendra
Publication year - 2017
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2016.0078
Subject(s) - qrs complex , sensitivity (control systems) , computer science , artificial intelligence , pattern recognition (psychology) , signal (programming language) , signal processing , electrocardiography , s transform , algorithm , wavelet transform , discrete wavelet transform , cardiology , electronic engineering , telecommunications , medicine , engineering , radar , wavelet , programming language
Accurate detection of QRS complexes is essential for the investigation of heart rate variability. Several transform techniques have been proposed and extensively used for the detection and analysis of QRS complexes. In this proposed work, the de‐noised ECG signal is subjected to a modified S‐transform for QRS complex detection.The performance analysis of the proposed work is evaluated using parameters such as sensitivity, positive predictivity and accuracy. The algorithm delivers sensitivity, positive predictivity and overall accuracy of 99.91, 99.91 and 99.77%, respectively. Furthermore, a search back mechanism is employed, which specifies the filtered electrocardiogram (ECG) segment, which was traced for the true R‐peak locations. The modified S‐transform based QRS complex detection algorithm provides an excellent search back range of only ±2 samples in comparison with other earlier proposed algorithms.