心音图分类方法

J. Muruganantham, R. Amarnath, K.V. Jawahar, C. Kalyanasundaram
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引用次数: 17

摘要

心脏外科手术的出现,以及对精确解剖诊断的迫切需要,使放大和记录心血管声音所必需的技术进步得以复苏。心音学的研究就是从这种信心中发展起来的。人类心脏的机械活动所产生的包含重要信息的声音的记录被称为心音图,用于记录的设备被称为心音仪。本研究的目的是寻找一种从心音诊断心脏病的有效方法。我们实现了神经网络、模糊系统和小波等多种方法对心脏病进行识别,并对它们的有效性进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for classification of phonocardiogram
The emergence of cardiac surgery and with it an imperative need for precise anatomical diagnosis have revived the technical advancement necessary for the amplification and recording of cardiovascular sounds. The study of phonocardiography has developed out of this confidence. The recordings of the sounds, produced by the mechanical activity of the human heart that contains vital information are called phonocardiogram and the device used to record is called phonocardiograph. The objective of this work is to find an efficient method to diagnose the heart diseases from their heart sounds. We have implemented various methods including neural network, fuzzy system and wavelets to recognize the heart diseases and their efficiencies were compared with each other.
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