• DocumentCode
    1847127
  • Title

    Reciprocal EMG Controlled FES for Pathological Tremor Suppression of Forearm

  • Author

    Dingguo Zhang ; Wei Tech Ang

  • Author_Institution
    Nanyang Technol. Univ., Nanyang
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    4810
  • Lastpage
    4813
  • Abstract
    A novel assistive system is designed to suppress pathological tremor of forearm via functional electrical stimulation (FES). It aims to attenuate the tremor with the minimum effect on the voluntary movement. Surface electromyograph (EMG) is adopted as the sensing feedback information to regulate FES. A two-stage filter is proposed to process the raw EMG signal. The first stage removes the artifacts in the raw EMG signal contaminated by FES. The second stage filter separates the high frequency tremulous EMG from the low frequency voluntary components. The extracted tremor EMG of biceps and triceps will then be used as control input in the FES controller to stimulate the two muscles reciprocally. This paper presents the design and implementation of the first stage of the two-stage filter. Experiments on healthy subjects have shown promising results.
  • Keywords
    bioelectric phenomena; electromyography; feedback; filtering theory; medical control systems; medical signal processing; neuromuscular stimulation; artifacts removal; assistive system; feedback information; functional electrical stimulation; pathological forearm tremor suppression; reciprocal EMG controlled FES; signal processing; surface electromyograph; two-stage filter; voluntary movement; Data mining; Electromyography; Feedback; Filters; Frequency; Muscles; Neuromuscular stimulation; Pathology; Signal processing; Surface contamination; Electric Stimulation; Electromyography; Forearm; Humans; Motor Activity; Movement; Muscle, Skeletal; Parkinson Disease; Stroke; Tremor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353416
  • Filename
    4353416