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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7741
Title: QRS detection using new wavelets
Authors: Saxena S.C.
Kumar V.
Hamde S.T.
Published in: Journal of Medical Engineering and Technology
Abstract: This paper deals with a new wavelet (WT) which has been developed and very effectively and efficiently used for the detection of QRS segments from the ECG signal. After carrying out the detection using five existing wavelets (two symmetric - WT1 and WT2 - and three asymmetric - WT3, WT4 and WT5), two new wavelets (WT6 and WT7) were constructed and used for QRS detection. WT6 is a symmetric wavelet and has been constructed by a trial-and-error method. WT7 is an adaptive symmetric wavelet and adjusts its threshold as per the amplitude of the ECG signal. The accuracy of QRS detection obtained from WT6 is 99.8% and from WT7 100%. The CSE DS-3 database has been used for tests. Both WT6 and WT7 have been proved to be superior in performance to the existing wavelets. Out of WT6 and WT7, WT7 holds high promise for error-free reliable QRS detection in computer-aided feature extraction and disease diagnostics.
Citation: Journal of Medical Engineering and Technology (2002), 26(1): 7-15
URI: https://doi.org/10.1080/03091900110096038
http://repository.iitr.ac.in/handle/123456789/7741
Issue Date: 2002
ISSN: 3091902
Author Scopus IDs: 35787752000
25646515800
6508104949
Author Affiliations: Saxena, S.C., Electrical Engineering Department, University of Roorkee, Roorkee - 247 667 (U.A.), India
Kumar, V., Electrical Engineering Department, University of Roorkee, Roorkee - 247 667 (U.A.), India
Hamde, S.T., Electrical Engineering Department, University of Roorkee, Roorkee - 247 667 (U.A.), India
Corresponding Author: Saxena, S.C.; Electrical Engineering Department, University of Roorkee, Roorkee - 247 667 (U.A.), India
Appears in Collections:Journal Publications [EE]

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