5 results match your criteria: "CEFE - State University of Londrina (UEL)[Affiliation]"
J Strength Cond Res
September 2011
GEPESINE-Group of Study and Research in Neuromuscular System and Exercise, CEFE-State University of Londrina (UEL), Brazil.
This study compared the activation pattern and the fatigue rate among the superficial muscles of the quadriceps femoris (QF) during severe cycling exercise. Peak oxygen consumption (VO(2)peak) and maximal accumulated oxygen Deficit (MAOD) were established by 10 well-trained male cyclists (27.5 ± 4.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
March 2011
Group of Study and Research in Neuromuscular System and Exercise, CEFE - State University of Londrina (UEL), PR, Brazil.
Frequency domain analyses of changes in electromyographic (EMG) signals over time are frequently used to assess muscle fatigue. Fourier based approaches are typically used in these analyses, yet Fourier analysis assumes signal stationarity, which is unlikely during dynamic contractions. Wavelet based methods of signal analysis do not assume stationarity and may be more appropriate for joint time-frequency domain analysis.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
April 2011
Group of Study and Research in Neuromuscular System and Exercise, CEFE - State University of Londrina (UEL), PR, Brazil.
Frequency domain analyses of changes in electromyographic (EMG) signals over time are frequently used to assess muscle fatigue. Fourier based approaches are typically used in these analyses, yet Fourier analysis assumes signal stationarity, which is unlikely during dynamic contractions. Wavelet based methods of signal analysis do not assume stationarity and may be more appropriate for joint time-frequency domain analysis.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
March 2011
Group of Study and Research in Neuromuscular System and Exercise, CEFE - State University of Londrina (UEL), PR, Brazil.
Frequency domain analyses of changes in electromyographic (EMG) signals over time are frequently used to assess muscle fatigue. Fourier based approaches are typically used in these analyses, yet Fourier analysis assumes signal stationarity, which is unlikely during dynamic contractions. Wavelet based methods of signal analysis do not assume stationarity and may be more appropriate for joint time-frequency domain analysis.
View Article and Find Full Text PDFElectromyogr Clin Neurophysiol
December 2009
GEPESINE - Group of Study and Research in Neuromuscular System and Exercise, CEFE - State University of Londrina (UEL), PR, Brazil.
The objective of this study is to verify the coincidence between the occurrence of the electromyographic fatigue threshold (EMGth) and the ventilatory threshold (Vth) in an incremental test in the cyclosimulator, as well as to compare the calculation of the RMS from the EMG signal using different time windows. Thirteen male cyclists (73.7 +/- 12.
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