101. Electromyographic analysis of pedaling: A review
- Author
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François Hug, Sylvain Dorel, Motricité, interaction, performance EA 4334 (MIP), Université de Nantes - UFR des Sciences et Techniques des Activités Physiques et Sportives (UFR STAPS), Université de Nantes (UN)-Université de Nantes (UN)-Le Mans Université (UM), Institut national du sport, de l'expertise et de la performance (INSEP), Motricité, interactions, performance EA 4334 / Movement - Interactions - Performance (MIP), Le Mans Université (UM)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Université de Nantes - UFR des Sciences et Techniques des Activités Physiques et Sportives (UFR STAPS), Université de Nantes (UN)-Université de Nantes (UN), and Université de Nantes (UN)-Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Le Mans Université (UM)
- Subjects
medicine.medical_specialty ,Computer science ,Biophysics ,Neuroscience (miscellaneous) ,Activation ,[SHS.SPORT.PS]Humanities and Social Sciences/Sport/Sport physiology ,Electromyography ,Models, Biological ,Lower limb ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Lag time ,EMG ,medicine ,Humans ,Power output ,cardiovascular diseases ,Muscle activity ,Muscle, Skeletal ,Leg ,Electromyographic analysis ,medicine.diagnostic_test ,Pattern ,Rehabilitation ,Body position ,[SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph] ,Muscle activation ,Cycling ,030229 sport sciences ,Bicycling ,body regions ,Exercise Test ,Muscle ,Neurology (clinical) ,human activities ,030217 neurology & neurosurgery ,Muscle Contraction - Abstract
International audience; Although pedaling is constrained by the circular trajectory of the pedals, it is not a simple movement. This review attempts to provide an overview of the pedaling technique using an electromyographic (EMG) approach. Literature concerning the electromyographic analysis of pedaling is reviewed in an effort to make a synthesis of the available information, and to point out its relevance for researchers, clinicians and/or cycling/triathlon trainers. The first part of the review depicts methodological aspects of the EMG signal recording and processing. We show how the pattern of muscle activation during pedaling can be analyzed in terms of muscle activity level and muscle activation timing. Muscle activity level is generally quantified with root mean square or integrated EMG values. Muscle activation timing is studied by defining EMG signal onset and offset times that identify the duration of EMG bursts and, more recently, by the determination of a lag time maximizing the cross-correlation coefficient. In the second part of the review, we describe whether the patterns of the lower limb muscles activity are influenced by numerous factors affecting pedaling such as power output, pedaling rate, body position, shoe–pedal interface, training status and fatigue. Some research perspectives linked to pedaling performance are discussed throughout the manuscript and in the conclusion.
- Published
- 2009