Wrist blood flow signal-based computerized pulse diagnosis using spatial and spectrum features
- 1
- 2
- 3
- 4
- 5
Abstract
ABSTRACT Current computerized pulse diagnosis is mainly based on pressure and photoelectric signal. Considering the richness and complication of pulse diagnosis information, it is valuable to explore the feasibility of novel types of signal and to develop appropriate feature representation for diagnosis. In this paper, we present a study on computerized pulse diagnosis based on blood flow velocity signal. First, the blood flow velocity signal is collected using Doppler ultrasound device and preprocessed. Then, by locating the fiducial points, we extract the spatial features of blood flow velocity signal, and further present a Hilbert-Huang transform-based method for spectrum feature extraction. Finally, support vector machine is applied for computerized pulse diagnosis. Experiment results show that the proposed method is effective and promising in distinguishing healthy people from patients with cho- lecystitis or nephritis.
- Li, S.Z. (1985) Pulse diagnosis. Hoc Ku Huyuh and G Seifert, Sydney.
- Bob, F. (1995) The secret of Chinese pulse diagnosis. Blue Poppy Press, Boulder.
- Mahesh, V., Kandaswamy, A., Vimal, C. and Sathish, B. (2009) ECG arrhythmia classification based on logistic model tree. Journal of Biomedical Science and Engineering, 2, 405-411.
- Dickhaus, H. and Heinrich, H. (1996) Classifying bio- signals with wavelet networks: A method for noninvasive diagnosis. IEEE Engineering in Medicine and Biology Magazine, 15, 103-111.
- McGuirk, S.P., Ewert, D., Barron, D.J. and Coote, J.H. (2009) Electrocardiographic interference and conductance volume measurements. Journal of Biomedical Science and Engineering, 2, 491-498.
- Fei, Z.F. (2003) Contemporary sphygmology in traditional Chinese medicine. People’s Medical Publishing House, Beijing.
- Wang, H. and Cheng, Y. (2005) A quantitative system for pulse diagnosis in traditional Chinese medicine. Proceedings of the 27th Annual Conference on Engineering in Medicine and Biology Society, 6, 5676-5679.
- Fu, S.E. and Lai, S.P. (1989) A system for pulse measurement and analysis of Chinese medicine. Proceedings of the 11th Annual International Conference on Engineering in Medicine and Biology Society, 5, 1695-1696.
- Tyan, C.C., Liu, S.H., Chen, J.Y., Chen, J.J. and Liang, W.M. (2008) A novel noninvasive measurement technique for analyzing the pressure pulse waveform of the radial artery. IEEE Transactions on Biomedical Engineering, 55, 288-297.
- Hertzman, A.B. (1938) The blood supply of various skin areas as estimated by the photoelectric plethysmograph. American Journal Physiology, 124, 328-340.
- Chun, T.L. and Ling, Y.W. (1983) Spectrum analysis of human pulse. IEEE Transactions on Biomedical Engineering, 30, 348-352.
- Lu, W.A., Lin Wang, Y.Y. and Wang, W.K. (1999) Pulse analysis of patients with severe liver problems: Studying pulse spectrums to determine the effects on other organs. IEEE Engineering in Medicine and Biology Magazine, 18, 73-75.
- Zhu, L., Yan, J., Tang, Q. and Li, Q. (2006) Recent progress in computerization of TCM. Journal of Communication and Computer, 3, 78-81.
- Chen, C.Y., Wang, W.K., Kao, T., Yu, B.C. and Chiang, B.C. (1993) Spectral analysis of radial pulse in patients with acute uncomplicated myocardial infarction. Japanese Heart Journal, 34, 131-143.