Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (26): 4812-4814.doi: 10.3969/j.issn.1673-8225.2010.26.015

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Foot sole pressure signal power spectra based on computer recognition: Gait analysis between Parkinson’s patients and controls

Han Yang1, Ma Zhan-hong2, Zhou Ping1   

  1. 1School of Biomedical Engineering, Capital Medical University, Beijing  100069, China;
    2Department of Radiology, Chaoyang Hospital, Beijing  100020, China
  • Online:2010-06-25 Published:2010-06-25
  • Contact: Zhou Ping, Associate professor, School of Biomedical Engineering, Capital Medical University, Beijing 100069, China eduhelp@163.com
  • About author:Han Yang, School of Biomedical Engineering, Capital Medical University, Beijing 100069, China yanghan88@ gmail.com
  • Supported by:

    the Basic Clinical Foundation of Capital Medical University, No. 2007JL25*;
    Beijing Middle-aged and Young Talent Teachers of Strong Teaching Program in 2005, Beijing Education Commission*

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Abstract:

BACKGROUND: Gait of Parkinson’s disease (PD) is a research focus. However, few studies explored the gait features from the pressures of sole of foot. 
OBJECTIVE: To compare extracted features from the foot-pressure signals in PD patients and control subjects and realize automatic recognition by computer, so as to extract the pattern of walking in PD and help explain the disturbed gait through signal processing.
METHODS: Autoregressive (AR) model was applied to the analysis of foot-pressure based on Yule-Walker equation for the calculation of power spectra. In the comparison process, we also gave our own definition to Associated Discrete Index in order to measure the discrete degree at a same frequency. The data from three research groups: Ga, Ju and Si were analyzed. The database included 18, 25, 29 control subjects and 29, 29, 35 PD patients respectively.
RESULTS AND CONCLUSION: In different framework, obvious difference between PD patient and control subject through t-test was observed in spectral line distribution, and density. Spectral line of PD patients was dense with similar appearance compared with normal controls.

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