• DocumentCode
    472273
  • Title

    Detection of the Anaerobic Threshold by Surface Electromyography

  • Author

    Mello, Roger G T ; Oliveira, Liliam F. ; Nadal, Jurandir

  • Author_Institution
    Biomed. Eng. Program, Fed. Univ. of Rio de Janeiro
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    6189
  • Lastpage
    6192
  • Abstract
    This work aims at presenting a method for automatic detection of the anaerobic thresholds by surface electromyography (RMS-slope) and compare with respective values identified by the analysis of ventilatory gas exchange. Thirteen healthy adults were submitted to a single maximal oxygen uptake test, being monitored the ventilatory parameters VO2 , VCO2, and VE, and the surface EMG (SEMG) of the right vastus lateralis muscle. Each cycle of myoelectric activity was automatically detected and the time series of the mean RMS values of these cycles used for determining the SEMG threshold (SEMG-T) by linear regression. The method was successful to determine SEMG-T for all subjects, with consistent results when compared to respective anaerobic thresholds visually estimated in the ventilatory equivalent VE/VO2
  • Keywords
    bioelectric phenomena; carbon compounds; electromyography; medical signal detection; oxygen; pneumodynamics; regression analysis; time series; CO2; CO2 production; O2; RMS values; automatic anaerobic threshold detection; linear regression; myoelectric activity; oxygen consumption; right vastus lateralis muscle; single maximal oxygen uptake test; surface EMG; surface electromyography; time series; ventilatory gas exchange; Blood; Condition monitoring; Electromyography; Frequency estimation; Linear regression; Muscles; Physiology; Production; Protocols; Testing; Anaerobic Threshold; Electromyography Threshold; Exercise Physiology; Surface EMG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260619
  • Filename
    4463222