Effective phonocardiogram segmentation using time statistics and nonlinear prediction

Rajeswari Sridharan; J. Janet

doi:10.1117/12.856301

26 February 2010 Effective phonocardiogram segmentation using time statistics and nonlinear prediction

Rajeswari Sridharan, J. Janet

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75462P (2010) https://doi.org/10.1117/12.856301
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

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.

Citation Download Citation

Rajeswari Sridharan and J. Janet "Effective phonocardiogram segmentation using time statistics and nonlinear prediction", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462P (26 February 2010); https://doi.org/10.1117/12.856301

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