Chinese Journal of Tissue Engineering Research ›› 2012, Vol. 16 ›› Issue (26): 4867-4871.doi: 10.3969/j.issn.1673-8225.2012.26.023

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Design and realization of signal processing platform of multi-parameter wearable medical devices

Tan Xin, Liu Qian-cheng, Xu Bin-feng   

  1. Guangdong Food and Drug Vocational College, Guangzhou 510520,Guangdong Province, China
  • Received:2011-09-20 Revised:2011-10-12 Online:2012-06-24 Published:2013-11-02
  • About author:Tan Xin★, Master, Guangdong Food and Drug Vocational College, Guangzhou 510520, Guangdong Province, China tx_win0102@hotmail.com

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Abstract:

BACKGROUND: Multi-parameter wearable medical devices have physiological signal detection and processing modules, signal feature extraction and data transmission basic function modules which can implement a non-invasive detection and diagnosis on the human body.
OBJECTIVE: To increase the detection rate and verification accuracy rate of QRS waves detection for electrocardiogram signal by the signal processing platform applied to wearable multi-parameter devices which require timeliness and accuracy.
METHODS: A type of multi-parameter wearable medical devices signal processing platform was designed. A QRS-wave detection algorithm was established based on linear approximation distance thresholding algorithm, wavelet transformation and threshold detection by TMS320VC5509 DSP system.
RESULTS AND CONCLUSION: The DSP can greatly increase the speed of QRS-wave detection, and the results can be practically used for multi-parameter wearable device detection of abnormal electrocardiograph.

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