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
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