A Heart Sound Segmentation Method Based on Cyclostationary Envelope

Abstract:

Segmentation is generally an important prior process to automatic analysis of heart sounds. The proposed algorithm achieved this in separated cycles. First, the cyclostationary envelopes of heart sound signals are calculated. Second, a threshold is chosen to separate S1 and S2. The segmentation is automatic, and robust to noise. It can identify S1 and S2 correctly even under the circumstance of noise and interference. No reference signal is needed for this segmentation. It was tested by the heart sounds of 20 subjects including 15 normal and 5 abnormal in various clinical cases (715 cycles in total). The statistics showed over 96 percent correctness for segmentation.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 2280-2283
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.2280
• Online since: August 2013
• Authors: Ting Li, Tian Shuang Qiu, Hong Tang
• Keywords: Cyclostationary Envelope, Heart Sound Signal, Segmentation

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