Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (52): 9768-9771.doi: 10.3969/j.issn.1673-8225.2010. 52.020

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Pulse analysis based on image sequence 　

Zhang Ai-hua 1,2, Li Yun3   

  1. 1 College of Telecommunication, Lanzhou University of Technology, Lanzhou 730050, Gansu Province, China; 2 Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou 730050, Gansu Province, China;3 College of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, Gansu Province, China
  • Online:2010-12-24 Published:2010-12-24
  • About author:Zhang Ai-hua, College of Telecommunication, Lanzhou University of Technology, Lanzhou 730050, Gansu Province, China; Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou 730050, Gansu Province, China lutzhangah@163.com
  • Supported by:

    the General Program of the National Natural Science Foundation of China, No.30670529*

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Abstract:

BACKGROUND: Sensor for pulse signal detection is one or multi-point pressure sensor. One-point pulse signal or several pulse signals cannot completely reflect pulse tracings information.
OBJECTIVE: To analyze and extract features of two-dimensional pulse image of space domain and frequency domain.
METHODS: The dynamic pulse image sequences of bionic hand were collected by pulse image sensor, which was self-made based on CCD monocular camera. According to the change of grid area in each frame, the three-dimensional displacement variation of multiple points from pulse image surface was obtained. The data of 8 grid points selected in pulse length and 441 frames selected in time axis were formed into two-dimensional matrix, then it was transformed into two-dimensional gray scale image. The features of each two-dimensional pulse image were analyzed and extracted in image domain and frequency domain.
RESULTS AND CONCLUSION: With this method, we can obtain the displacement variation of multiple points from the surface of pulse image, and classify pulses according to the features analysis.　

CLC Number: