Analysis of EMG measurements during bicycle pedalling.

Activity of eight leg muscles has been monitored for six test subjects while pedalling a bicycle on rollers in the laboratory. Each electromyogram (EMG) data channel was digitized at a sampling rate of 2 kHz by a minicomputer. Data analysis entailed generating plots of both EMG activity regions and integrated EMG (IEMG). For each test subject, data were recorded for five cases of pedalling conditions. The different pedalling conditions were defined to explore a variety of research hypotheses. This exploration has led to the following conclusions: Muscular activity levels of the quadriceps are influenced by the type of shoes worn and activity levels increase with soft sole shoes as opposed to cycling shoes with cleats and toeclips. EMG activity patterns are not strongly related to pedalling conditions (i.e. load, seat height and shoe type). The level of muscle activity, however, is significantly affected by pedalling conditions. Muscular activity bears a complex relationship with seat height and quadriceps activity level decreases with greater seat height. Agonist (i.e. hamstrings) and antagonist (i.e. quadriceps) muscles of the hip/knee are active simultaneously during leg extension. Regions of peak activity levels, however, do not overlap. The lack of significant cocontraction of agonist/antagonist muscles enables muscle forces during pedalling action to be computed by solving a series of equilibrium problems over different regions of the crank cycle. Regions are defined and a solution procedure is outlined.

[1]  R. J. Gregor,et al.  A biomechanical analysis of lower limb action during cycling at four different loads , 1976 .

[2]  A Seireg,et al.  A mathematical model for evaluation of forces in lower extremeties of the musculo-skeletal system. , 1973, Journal of biomechanics.

[3]  Roy D. Crowninshield,et al.  Use of Optimization Techniques to Predict Muscle Forces , 1978 .

[4]  J. Naughton,et al.  Exercise testing and exercise training in coronary heart disease , 1973 .

[5]  K. Nordeen-Snyder,et al.  The effect of bicycle seat height variation upon oxygen consumption and lower limb kinematics. , 1977, Medicine and science in sports.

[6]  S. Houtz,et al.  An analysis of muscle action and joint excursion during exercise on a stationary bicycle. , 1959, The Journal of bone and joint surgery. American volume.

[7]  E J Hamley,et al.  Physiological and postural factors in the calibration of the bicycle ergometer. , 1967, The Journal of physiology.

[8]  A Pedotti,et al.  A general computing method for the analysis of human locomotion. , 1975, Journal of biomechanics.

[9]  M L Hull,et al.  Measurement of pedal loading in bicycling: I. Instrumentation. , 1981, Journal of biomechanics.

[10]  T. A. Blackburn,et al.  Biomechanics of knee rehabilitation with cycling , 1980, The American journal of sports medicine.

[11]  David E. Hardt,et al.  Determining Muscle Forces in the Leg During Normal Human Walking—An Application and Evaluation of Optimization Methods , 1978 .

[12]  N. Rigotti,et al.  Exercise and coronary heart disease. , 1983, Annual review of medicine.

[13]  M L Hull,et al.  Measurement of pedal loading in bicycling: II. Analysis and results. , 1981, Journal of biomechanics.

[14]  D T Davy,et al.  An optimization approach to tendon force analysis. , 1974, Journal of biomechanics.

[15]  R. Crowninshield,et al.  A physiologically based criterion of muscle force prediction in locomotion. , 1981, Journal of biomechanics.

[16]  M. Desiprés An electromyographic study of competetive road cycling conditions simulated on a treadmill , 1974 .