title: Objective Auscultation of TCM Based on Wavelet Packet Fractal Dimension and Support Vector Machine.
abstract: This study was conducted to illustrate that auscultation features based on the fractal dimension combined with wavelet packet transform (WPT) were conducive to the identification the pattern of syndromes of Traditional Chinese Medicine (TCM). The WPT and the fractal dimension were employed to extract features of auscultation signals of 137 patients with lung Qi-deficient pattern, 49 patients with lung Yin-deficient pattern, and 43 healthy subjects. With these features, the classification model was constructed based on multiclass support vector machine (SVM). When all auscultation signals were trained by SVM to decide the patterns of TCM syndromes, the overall recognition rate of model was 79.49%; when male and female auscultation signals were trained, respectively, to decide the patterns, the overall recognition rate of model reached 86.05%. The results showed that the methods proposed in this paper were effective to analyze auscultation signals, and the performance of model can be greatly improved when the distinction of gender was considered.
authors.affiliation: Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors.forename: Jian-Jun
authors.initials: JJ
authors.lastname: Yan
authors.affiliation: Laboratory of Information Access and Synthesis of TCM Four Diagnostic, Shanghai University of Chinese Traditional Medicine, Shanghai 201203, China.
authors.forename: Rui
authors.identifier: 0000-0002-5956-9627
authors.initials: R
authors.lastname: Guo
authors.affiliation: Laboratory of Information Access and Synthesis of TCM Four Diagnostic, Shanghai University of Chinese Traditional Medicine, Shanghai 201203, China.
authors.forename: Yi-Qin
authors.initials: YQ
authors.lastname: Wang
authors.affiliation: Laboratory of Information Access and Synthesis of TCM Four Diagnostic, Shanghai University of Chinese Traditional Medicine, Shanghai 201203, China.
authors.forename: Guo-Ping
authors.initials: GP
authors.lastname: Liu
authors.affiliation: Laboratory of Information Access and Synthesis of TCM Four Diagnostic, Shanghai University of Chinese Traditional Medicine, Shanghai 201203, China.
authors.forename: Hai-Xia
authors.initials: HX
authors.lastname: Yan
authors.affiliation: Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors.forename: Chun-Ming
authors.initials: CM
authors.lastname: Xia
authors.affiliation: Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors.forename: Xiaojing
authors.initials: X
authors.lastname: Shen