NDLI: Boundary estimation of cardiac events S1 and S2 based on Hilbert transform and adaptive thresholding approach

Content Provider	IEEE Xplore Digital Library
Author	Mondal, A. Kumar, A.K. Bhattacharya, P.S. Saha, G.
Copyright Year	2013
Description	Author affiliation: Inst. of Pulmocare & Res., Kolkata, India (Bhattacharya, P.S.) \|\| Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India (Mondal, A.; Kumar, A.K.; Saha, G.)
Abstract	A computerized cardiac disorders classification system needs a proper boundary estimated cardiac cycle of recorded heart sound signals. In the proposed algorithm the boundaries of two primary heart sounds, S1 and S2 events are estimated using Hilbert transform method and a statistical approach. This method uses an adaptive threshold value which is calculated from the first- and second-order moments of the heart sound or Phonocardiogram signal (PCG) envelope. Here, Hilbert transform is used for extracting the envelope of the PCG signal and a threshold is applied to detect the boundary regions of the primary events, S1 and S2, of the same signal. The performance of the algorithm is evaluated for normal and five commonly occurring pathological cases. The proposed method is computationally fast and obtained an accuracy of 97.24 percent.
Starting Page	43
Ending Page	47
File Size	413294
Page Count	5
File Format	PDF
ISBN	9781467358408
e-ISBN	9781467358422
DOI	10.1109/IndianCMIT.2013.6529406
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-28
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Heart sounds Diastole Estimation Transforms Systole Murmur Diseases Boundary Pathology Hilbert transform Accuracy Signal processing algorithms
Content Type	Text
Resource Type	Article

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