Title :
Preliminary study on diurnal variation of pulse signals in TCM
Author :
Wang Nanyue ; Yu Youhua ; Huang Dawei ; Liu Jia ; Zhou Lingyun ; Chen Yanping ; Xueli Yuan ; Li Tongda
Author_Institution :
Exp. Res. Center, China Acad. of Chinese Med. Sci., Beijing, China
Abstract :
Objective: To compare the signals of pulse - diagnosis of healthy volunteer in different times in one day. Methods: After collecting the pulse waves of 42 healthy volunteers in 4 specific periods in one day, do pretreatment, parameter extracting basing on harmonic fitting, modeling, and identification by unsupervised learning and supervised learning with cross-validation step by step for analysis of the 4 groups. Finally, paired T-test and ANOVA were used in feature mining. Results: There are significant differences among the pulse-diagnosis signals of healthy volunteers in different times, and the accuracy rate is about 63%~ 84%. Pulse rate, F1zuocun and F2zuocun, etc. are key features in classification. Conclusion: Signals of pulse-diagnosis in TCM of healthy human have circadian rhythmicity.
Keywords :
bioelectric potentials; circadian rhythms; feature extraction; medical signal processing; principal component analysis; unsupervised learning; ANOVA; TCM; circadian rhythmicity; cross-validation step; diurnal variation; feature classification; feature mining; harmonic fitting; paired T-test; pulse wave collection; pulse-diagnosis signals; time 1 day; unsupervised learning; Analysis of variance; Circadian rhythm; Harmonic analysis; Medical diagnostic imaging; Principal component analysis; Supervised learning; Unsupervised learning; diurnal variation; machine learning; pulse-diagnosis in TCM;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999351
