• DocumentCode
    3456694
  • Title

    The analysis of surface electromyographic signal characteristics of human arm muscle function state based on the theory of Chinese medicine

  • Author

    Ling Fan ; Yao Xiao ; Wenbin Fu ; Ziping Li ; Zhaohui Liang ; Qing He

  • Author_Institution
    Guangzhou Univ. of Chinese Med., Guangzhou, China
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    486
  • Lastpage
    490
  • Abstract
    With the development of social aging of the population and people´s demands to improve quality of life, requirements, research, development and application of state-of-the-art rehabilitation equipment has become a new hotspot of widespread concern. Functional electrical stimulation (FES) has a significant effect to muscle atrophy and treatment of chronic diseases, and it plays an important role in the restoration and reconstruction of nerve and muscle function, thus it become a hot topic of rehabilitation engineering in recent years. In order to improve the functional electrical stimulation treatment effectiveness, reliability and security, it is necessary to do a further research of quantitative analysis based on traditional Chinese medicine to obtain the electrical stimulation parameters and muscle function of the population between the state similarities and differences in indicators.
  • Keywords
    biomechanics; diseases; electromyography; geriatrics; neuromuscular stimulation; patient rehabilitation; Chinese medicine theory; chronic disease treatment; electrical stimulation parameter; functional electrical stimulation; human arm muscle function state; muscle atrophy; nerve function; rehabilitation engineering; rehabilitation equipment; social aging; surface electromyographic signal characteristics; Electrical stimulation; Electromyography; Humans; Muscles; Neuromuscular stimulation; Training; Chinese Medicine; Functional electrical stimulation; Rehabilitation engineering; Sensor technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2746-6
  • Electronic_ISBN
    978-1-4673-2744-2
  • Type

    conf

  • DOI
    10.1109/BIBMW.2012.6470369
  • Filename
    6470369