Human Power Output � Determinants of Maximum Performance

Author(s):  
Anthony J. Sargeant
Author(s):  
J. Y. Harrison

In this paper various factors affecting human power output are discussed, including the mechanical properties of muscle, the geometry of the input motion and the kinematics of the input motion. A mulitpurpose ergometer, designed and built to take account of these factors is described. Two basic motions are possible on the ergometer: cycling and rowing. The rowing motions may be made with any combination of seat and feet either sliding or fixed. In the rowing motions, during a single to and fro cycle, prescribed variations in velocity of the input links can be forced on a subject. Experimental work, which is described, showed that there are considerable differences in the effectiveness of the various ways of working, and that one in particular, a modified rowing motion, allowed the production of greater average amounts of power for periods up to two minutes than have so far been recorded and published (to the author's knowledge).


Author(s):  
Everett A. Harman ◽  
Michael T. Rosenstein ◽  
Peter N. Frykman ◽  
Richard M. Rosenstein ◽  
William J. Kraemer

Ergonomics ◽  
1960 ◽  
Vol 3 (1) ◽  
pp. 30-34 ◽  
Author(s):  
J. G. FLETCHER ◽  
H. E. LEWIS ◽  
D. R. WILKIE
Keyword(s):  

1991 ◽  
Vol 5 (3) ◽  
pp. 116-120 ◽  
Author(s):  
Everett A. Harman ◽  
Michael T. Rosenstein ◽  
Peter N. Frykman ◽  
Richard M. Rosenstein ◽  
William J. Kraemer

2012 ◽  
Vol 113 (10) ◽  
pp. 1643-1651 ◽  
Author(s):  
A. James ◽  
S. Green

The relationship between power output and the time that it can be sustained during exercise (i.e., endurance) at high intensities is curvilinear. Although fatigue is implicit in this relationship, there is little evidence pertaining to it. To address this, we developed a phenomenological model that predicts the temporal response of muscle power during submaximal and maximal exercise and which was based on the type, contractile properties (e.g., fatiguability), and recruitment of motor units (MUs) during exercise. The model was first used to predict power outputs during all-out exercise when fatigue is clearly manifest and for several distributions of MU type. The model was then used to predict times that different submaximal power outputs could be sustained for several MU distributions, from which several power-endurance curves were obtained. The model was simultaneously fitted to two sets of human data pertaining to all-out exercise (power-time profile) and submaximal exercise (power-endurance relationship), yielding a high goodness of fit ( R2 = 0.96–0.97). This suggested that this simple model provides an accurate description of human power output during submaximal and maximal exercise and that fatigue-related processes inherent in it account for the curvilinearity of the power-endurance relationship.


1986 ◽  
Vol 2 (1) ◽  
pp. 6-19 ◽  
Author(s):  
Chester R. Kyle ◽  
Vincent j. Caiozzo

A comparison of six methods of measuring maximal human power output is given. The methods are as follows: the standard bicycle ergometer and modified bicycle ergometer (revised so that a standard racing bicycle and a higher applied torque could be used); a bicycle ridden on a treadmill; an unbraked flywheel bicycle ergometer; power using bicycle wind and rolling resistance measurements; running up stairs with weights; and running up a ramp with weights. Power output was. measured for time periods varying from less than 1 sec to 20 min. Power from the different methods agreed quite well. Example data are given for leg exercise, arm and leg exercise, and cycling in the prone, supine, and standard cycling positions.


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