Pulse Feature Extraction based on Improved Gaussian Model
Wrist pulse contains important information about the health status of a person.The pathological changes of organ could be perceived by pulse-feeling which has been popular for thousands of years in China.However, the traditional Chinese medicine usually portrays the pulse types in a vague and general language, and the diagnoses from physicians often diverge greatly due to their subjective experience.Thus, the objectification of pulse diagnosis is imperative under the modern computer technology circumstance.This paper proposes a novel pulse feature extraction method based on improved Gaussian model, the experiments has been done on a dataset which is collected from 148 healthy persons and 288 patients by using the self-designed pulse collecting system, the results show that the method is efficient for diagnosis.
traditional Chinese medicine pulse gaussian model
Guangming Lu Zhixing Jiang Liying Ye Yaotian Huang
Shenzhen Graduate School, Harbin Institute of Technology Shenzhen, China
国内会议
深圳
英文
301-305
2014-05-01（万方平台首次上网日期，不代表论文的发表时间）