title: Limitations of Spectral Electromyogramic Analysis to Determine the Onset of Neuromuscular Fatigue Threshold during Incremental Ergometer Cycling.
abstract: Recently, a new method has been proposed to detect the onset of neuromuscular fatigue during an incremental cycling test by assessing the changes in spectral electromyographic (sEMG) frequencies within individual exercise periods of the test. The method consists on determining the highest power output that can be sustained without a significant decrease in spectral frequencies. This study evaluated the validity of the new approach by assessing the changes in spectral indicators both throughout the whole test and within individual exercise periods of the test. Fourteen cyclists performed incremental cycle ergometer rides to exhaustion with bipolar surface EMG signals recorded from the vastus lateralis. The mean and median frequencies (Fmean and Fmedian, respectively) of the sEMG power spectrum were calculated. The main findings were: (1) Examination of spectral indicators within individual exercise periods of the test showed that neither Fmean nor Fmedian decreased significantly during the last (most fatiguing) exercise periods. (2) Examination of the whole incremental test showed that the behaviour of Fmean and Fmedian with increasing power output was highly inconsistent and varied greatly among subjects. (3) Over the whole incremental test, half of the participants exhibited a positive relation between spectral indicators and workload, whereas the other half demonstrated the opposite behavior. Collectively, these findings indicate that spectral sEMG indexes do not provide a reliable measure of the fatigue state of the muscle during an incremental cycling test. Moreover, it is concluded that it is not possible to determine the onset of neuromuscular fatigue during an incremental cycling test by examining spectral indicators within individual exercise periods of the test. Key pointsThe behaviour of spectral EMG indicators during the incremental test exhibited a high heterogeneity among individuals, with approximately half of the participants showing a positive relation between spectral indicators and workload and the other half showing the opposite behaviour.None of the spectral EMG indicators examined (Fmean nor Fmedian) decreased significantly between the ventilatory threshold and the highest power output.Examination of spectral indicators within individual exercise periods of the test showed that neither Fmean nor Fmedian decreased significantly during the last (most fatiguing) exercise periods.
authors.affiliation: Department of Electrical and Electronical Engineering. Public University of Navarra , Pamplona, Spain.
authors.forename: Iban
authors.initials: I
authors.lastname: Latasa
authors.affiliation: Department of Physiology and Biochemistry. University of Valladolid , Soria, Spain.
authors.forename: Alfredo
authors.initials: A
authors.lastname: Cordova
authors.affiliation: Department of Electrical and Electronical Engineering. Public University of Navarra , Pamplona, Spain.
authors.forename: Armando
authors.initials: A
authors.lastname: Malanda
authors.affiliation: Department of Electrical and Electronical Engineering. Public University of Navarra , Pamplona, Spain.
authors.forename: Javier
authors.initials: J
authors.lastname: Navallas
authors.affiliation: Pediatric Neurology Unit., Complejo Hospitalario de Navarra , Pamplona, Spain.
authors.forename: Ana
authors.initials: A
authors.lastname: Lavilla-Oiz
authors.affiliation: Department of Electrical and Electronical Engineering. Public University of Navarra , Pamplona, Spain.
authors.forename: Javier
authors.initials: J
authors.lastname: Rodriguez-Falces
keywords: Cycling; motor unit recruitment; neuromuscular fatigue; spectral EMG analysis; surface electromyography