access icon openaccess ECG signal analysis using modified S-transform

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.

Inspec keywords: FIR filters; electrocardiography; medical signal processing

Other keywords: ECG signal analysis; modified S-transform; QRS complex detection algorithm; electrocardiogram; true R-peak locations

Subjects: Bioelectric signals; Electrical activity in neurophysiological processes; Biology and medical computing; Electrodiagnostics and other electrical measurement techniques; Digital signal processing; Filtering methods in signal processing

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http://iet.metastore.ingenta.com/content/journals/10.1049/htl.2016.0078
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