[基于时间频率组合特征和自适应模糊神经网络的心声分类算法]
Qin Wang1, Hongbo Yang2,3, Jiahua Pan3
1School of Information Science and Engineering, Yunnan University, Kunming 650504, P. R. China.
概括
这项研究引入了一种新的特征提取方法,它结合了 mel-frequency cepstral 系数 (MFCC) 和功率光谱密度 (PSD) 以改进心声分类. 开发的算法在诊断先天性心脏病方面表现出很高的准确性.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 信号处理 信号处理
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Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
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S1 (First Heart Sound)-
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