首页    期刊浏览 2025年02月24日 星期一
登录注册

文章基本信息

  • 标题:A SUPPORT VECTOR SIGNAL PROCESSING MODEL FOR HEART MURMUR BASED CLASSIFICATION WITH HARDWARE IMPLEMENTATION
  • 本地全文:下载
  • 作者:P.S.RAJAKUMAR ; S.RAVI ; R.M. SURESH
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:64
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:A prototype of a simple and non-invasive system for remotely monitoring the heart sounds (improved phonocardiography) that includes heart auscultation monitoring /hearing is discussed. The frequency and component analysis are integrated with classification schemes to identify the normal and pathological heart sound patterns. The monitoring of the heart sound is an area of research and if interpreted effectively can be useful for clinical interpretation along with cardiac diagnosis like ECG, Phonocardiography and other similar techniques. In this research, frequency, spatial, dimensional data reduction analysis/combined with popular classifier schemes to identify normal and pathological heart sound. The objective of the research work is to provide interpretation, which is of great use to the medical experts. In our research work, the audio part happening in the cardiac cycle is extracted. Hardware implementation with linux kernel is also presented.
  • 关键词:Mermur Recognition; Vector Signal Processing; Heart Sound; Hardware Implementation.
国家哲学社会科学文献中心版权所有