Literature DB >> 31287965

Wavelet and principal component analysis of electromyographic activity and slow component of oxygen uptake during heavy and severe cycling exercise.

Liping Qi1, Xiao-Chi Ma2, Dong-Dong Zhou3, Shuo Guan4, Feng-Shan Gao5, Pei-Xin Cong6.   

Abstract

The aim of the study was to investigate whether the slow component of oxygen uptake (VO2) was concurrent with the recruitment of large alpha-motoneuron muscle fibres by using wavelet and principal component analysis (PCA) of electromyography (EMG) during heavy and severe cycling exercise. 11 male subjects participated in the study. After establishing each subject's maximum value of VO2 through an incremental test on the cycle ergometer, the subjects performed 6-min cycling tests at heavy and severe intensity. EMG signals were collected from rectus femoris (RF), biceps femoris long head (BF), tibialis anterior (TA), medial gastrocnemius (MG), and processed by combined use of wavelet and PCA analysis. The time delays to the onset of slow component occurred significantly earlier during severe (105.22±5.45 s) than during heavy (138.78±15.09 s) exercise. ANOVA with repeated measures showed that for all muscles tested, the angle θ formed by the first and second principal components decreased significantly between time windows during heavy and severe exercise. However significant increases of EMG mean power frequency (MPF) were found only during heavy exercise. Our results show the concurrence of the VO2 slow component with the additional recruitment of muscle fibres, presumably less efficient large alpha-motoneuron fibres. ●The expected rise in MPF may be offset by muscle fatigue occurring in the later time windows of the slow component during severe exercise. ●The gradual shift to higher EMG frequencies throughout the slow component phase was reflected in the progressive and significant decrease of angle θ.

Entities:  

Year:  2019        PMID: 31287965     DOI: 10.1139/apnm-2019-0037

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  1 in total

Review 1.  Application of Surface Electromyography in Exercise Fatigue: A Review.

Authors:  Jiaqi Sun; Guangda Liu; Yubing Sun; Kai Lin; Zijian Zhou; Jing Cai
Journal:  Front Syst Neurosci       Date:  2022-08-11
  1 in total

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