Detection of the Anaerobic Threshold by Surface Electromyography

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,...

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Published in2006 International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2006; pp. 6189 - 6192
Main Authors Mello, R.G.T., Oliveira, L.F., Nadal, J.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 2006
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ISBN9781424400324
1424400325
ISSN1557-170X
DOI10.1109/IEMBS.2006.260619

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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 V O2 , V CO2 , and V E , 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 V E /VO 2
AbstractList 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 V(O2), V(CO2), and V(E), 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 V(E)/VO(2).
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 V(O2), V(CO2), and V(E), 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 V(E)/VO(2).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 V(O2), V(CO2), and V(E), 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 V(E)/VO(2).
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 V O2 , V CO2 , and V E , 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 V E /VO 2
Author Mello, R.G.T.
Oliveira, L.F.
Nadal, J.
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Snippet This work aims at presenting a method for automatic detection of the anaerobic thresholds by surface electromyography (RMS-slope) and compare with respective...
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StartPage 6189
SubjectTerms Adult
Algorithms
Anaerobic Threshold
Automation
Blood
Blood Gas Analysis
Carbon Dioxide
Condition monitoring
Electromyography
Electromyography - instrumentation
Electromyography - methods
Electromyography Threshold
Exercise Physiology
Exercise Test
Exercise Tolerance
Frequency estimation
Humans
Linear Models
Linear regression
Male
Muscles
Oxygen - metabolism
Oxygen Consumption
Physiology
Production
Protocols
Pulmonary Gas Exchange
Surface EMG
Testing
Title Detection of the Anaerobic Threshold by Surface Electromyography
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