Complexity and similarity approach based on heart sound murmurs for cardiac pathological status analysis

Authors:
Xiali Zheng;Binbin Fu;Xiaolei Fei;Booma Devi Sekar;Mingchui Dong
Affiliations:
Dept. of ECE, Faculty of Science & Technology, University of Macau, Macao, S.A.R, China;Dept. of ECE, Faculty of Science & Technology, University of Macau, Macao, S.A.R, China;INESC-Macau, University of Macau, Macao, S.A.R, China;Dept. of ECE, Faculty of Science & Technology, University of Macau, Macao, S.A.R, China;Dept. of ECE, Faculty of Science & Technology, University of Macau, Macao, S.A.R, China and INESC-Macau, University of Macau, Macao, S.A.R, China
Venue:
BICA'12 Proceedings of the 5th WSEAS congress on Applied Computing conference, and Proceedings of the 1st international conference on Biologically Inspired Computation
Year:
2012

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Abstract

Heart auscultation signal has served as an important primary symptom to identify pathological status of cardiovascular system for a long time. In this paper, a new approach for automated cardiovascular disease (CVD) diagnosis based on complexity and similarity analysis of heart sound (HS) is presented. The relevant technologies namely, musical instrument digital interface (MIDI) coding and N-gram encoding are utilized for feature extraction and pattern encoding of HS. Lempel and Ziv (LZ) complexity and supersymmetric comparison distance (SCD) similarity measure are adapted to measure the complexity and similarity between two HSs individually. To further explore the distinguishing capability of proposed approach, designated tests are conducted focusing on pathological murmur in HS founded on benchmark database. The outcome of those tests are represented and discussed concretely. Finally the conclusion regarding positive prospect of complexity & similarity approach on detecting pathological status through analyzing HS murmur is given.