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http://dx.doi.org/10.9717/kmms.2021.24.11.1500

Development of High-Accuracy Automatic Identification Algorithm for First and Second Heart Sounds Using Vascular Transit Time  

Lee, Soo Min (Dept. of Biomedical Eng., Graduate School of Medicine, Keimyung University)
Wei, Qun (Dept. of Biomedical Eng., School of Medicine, Keimyung University)
Park, Hee Joon (Dept. of Biomedical Eng., School of Medicine, Keimyung University)
Publication Information
Journal of Korea Multimedia Society / v.24, no.11, 2021 , pp. 1500-1507 More about this Journal
Abstract
Identification and analysis of the first and second heart sounds(S1, S2) is the easiest way for cardiovascular disease prevention and early diagnosis. However, accurate identification is difficult because the heart sound includes organ movement, blood vortex, user experience, and noise influenced by subjective judgment. Therefore, an algorithm to automatically identify the S1 and S2 heart sounds based on blood vessel transit time(VTT) is presented in this paper. According to the experimental results of comparing the algorithm developed for S1 and S2 heart sound analysis with the conventional Shannon energy algorithm in 10 volunteers, it has been proven that the proposed algorithm can automatically identify S1 and S2 heart sounds with higher accuracy than existing algorithms.
Keywords
Vascular Transit Time; Heart Sound; Photoplethysmography; Automatic identification; Shannon energy;
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