The Time-Frequency Analysis of Abnormal ECG Signals

摘要：

ECG(electrocardiogram) signal is an important basis to diagnose heart diseases, but its a weak lowfrequency non-stationary signal, and possessing noise setting strong characters, neither time-domain nor frequency-domain based methods are suitable for analyzing this signal. In this article we adopt timefrequency analysis approaches which could reflect signal both in time and frequency domains. Totally, we adopts two time-frequency approaches: PseudoWigner-Ville Distribution (PWVD) and Wigner HighOrder Spectra(WHOS), we successfully extract characters from two kinds abnormal ECG signals, which improves our methods are effective.

关键词： Time-frequency analysis PWVD WHOS Abnormal ECG signal

作者: Lantian Song Fengqin Yu

作者单位: Jiangnan University, School of Communication and Control Engineering,214122 Wuxi.China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 60-66

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）