Wrist-pulse Signal Diagnosis using ICPulse

摘要：

Traditional Chinese Pulse Diagnosis (TCPD) is one of the most important diagnostic techniques in Traditional Chinese Medicine (TCM) and computerized analysis of pulse signals is a crucial step for objectifying and standardizing TCPD. This paper presents an automated wrist-pulse signal diagnosis approach by using the independent component analysis (ICA) to extract pulse signal features. A wrist-pulse signal dataset is established, which includes both the samples from healthy people and patients with certain diseases. With the extracted features by ICA, a nearest neighborhood classifier is used to distinguish the unhealthy samples from healthy samples. The experimental results on the established dataset demonstrate the efficiency of the proposed ICA based pulse signal analysis method.

关键词： Traditional Chinese Pulse Diagnosis ICA

作者: Wankou Yang Lei Zhang David Zhang

作者单位: Biometrics Research Center,Dept.Of Computing,The Hong Kong Polytechnic University,Hong Kong,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）