Computer-aided analysis and classification of heart sounds based on neural networks and time analysis

Chung Hsien Wu, Ching Wen Lo, Jhing Fa Wang

研究成果: Conference article同行評審

25 引文 斯高帕斯(Scopus)

摘要

This paper describes a Computer-aided Heart sound Analysis and Classification System (CHACS) based on neural networks and time analysis. In this system, two subsystems in both time and frequency domains are proposed. In the first subsystem, a multi-layer perceptron neural network is adopted to classify heart sound patterns. In the second subsystem, a set of heuristic rules is used to characterize heart sounds. The individual classification results of these two subsystems are combined to give the final suggestion. Using this system, heart sounds can be selectively stored, retrieved, enhanced, and replayed. Besides, CHACS provides an on-line display of the heart beat rate and allows an objective and reliable classification of heart sounds. Experimental results show that a classification rate of 95.6% is obtained.

原文English
頁(從 - 到)3455-3458
頁數4
期刊ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
5
出版狀態Published - 1995
事件Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA
持續時間: 1995 5月 91995 5月 12

All Science Journal Classification (ASJC) codes

  • 軟體
  • 訊號處理
  • 電氣與電子工程

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