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Proceedings Paper

Effective phonocardiogram segmentation using time statistics and nonlinear prediction
Author(s): Rajeswari Sridharan; J. Janet
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Paper Abstract

In the fields of image processing, signal processing and recognition, image Segmentation is an efficient method for segmenting the phonocardiograph signals (PCG) is offered. Primarily, inter-beat segmentation is approved and carried out by means of DII lead of the ECG recording for identifying the happenings of the very first heart sound (S1). Then, the intra-beat segmentation is attained by the use of recurrence time statistics (RTS), and that is very sensitive to variations of the renovated attractor in a state space derived from nonlinear dynamic analysis. Apart from this if the segmentation with RTS is unsuccessful, a special segmentation is proposed using threshold that is extracted from the high frequency rate decomposition and the feature extraction of the disorder is classified based on the murmur sounds. In the Inter-beat segmentation process the accuracy was 100% of the over all PCG recording. Taking into account a different level of PCG beats were strongly concerned by different types of cardiac murmurs and intra-beat segmentation are give up for an accurate result.

Paper Details

Date Published: 26 February 2010
PDF: 5 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462P (26 February 2010); doi: 10.1117/12.856301
Show Author Affiliations
Rajeswari Sridharan, Conrad Technologies Pvt. Ltd. (India)
J. Janet, Vel Tech Dr. RR & Dr. SR Technical Univ. (India)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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