首页> 外文会议>Pacific-Asia Workshop on Computational Intelligence and Industrial Application >Detection of Mechanical Prosthetic Heart Valve Dysfunction Using Spectrum Estimation and Time-Scale Techniques
【24h】

Detection of Mechanical Prosthetic Heart Valve Dysfunction Using Spectrum Estimation and Time-Scale Techniques

机译:使用频谱估计和时间尺度技术检测机械假心瓣膜功能障碍

获取原文

摘要

The diagnostic features in recorded heart sounds with mechanical prosthetic heart valves (either mitral or aortic heart valve) were investigated by using spectral estimation and Discrete Wavelet Transform (DWT) techniques. Results showed that for patients with mechanical prosthetic heart valve, it is possible to identify the normal patients, the perivalvular leakage patients and the valve obstruction patients via combined spectral and time-scale features, and experiments also demonstrated that neither spectral feature nor time-scale feature separately could solve the identification problem.
机译:通过使用光谱估计和离散小波变换(DWT)技术研究了具有机械假心瓣膜(二尖瓣或主动脉瓣膜)的记录心脏声音的诊断特征。结果表明,对于机械假肢心脏瓣膜的患者,可以通过组合光谱和时间尺度特征来鉴定正常患者,恐慌泄漏患者和阀阻塞患者,并且还证明了既不是光谱特征也不是时间尺度功能分开可以解决识别问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号