Variability and Noise in Continuous Force Production

Abstract In the present 3 experiments, the authors examined the hypothesis, derived from information theory, that increases in the variability of motor responses result from increases in perceptual-motor noise. Three different groups of participants (Ns = 10, 9, and 10, respectively, in Experiments 1, 2, and 3) produced continuous isometric force under either low, intermediate, or high target force levels. When considered together, the results showed that force variability (SD) increased exponentially as a function of force level. However, an index of information transmission (M/SD), as well as measures of noise in both the time (approximate entropy) and the frequency (power spectrum) domains, changed according to an inverted-U-shaped function over the range of force levels. The findings provide further evidence that increased information transmission is related to increases, and not to decreases, in the noisiness of the structure of force output.

[1]  C. D. De Luca,et al.  Behaviour of human motor units in different muscles during linearly varying contractions , 1982, The Journal of physiology.

[2]  H. Clamann,et al.  Elsevier/North-Holland Biomedical Press COMPARISON OF THE RECRUITMENT AND DISCHARGE PROPERTIES OF MOTOR UNITS IN H U M A N BRACHIAL BICEPS AND A D D U C T O R POLLICIS D U R I N G ISOMETRIC CONTRACTIONS , 2018 .

[3]  R. Stein,et al.  The contractile properties of human motor units during voluntary isometric contractions , 1973, The Journal of physiology.

[4]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[5]  L. Lipsitz Age-related changes in the "complexity" of cardiovascular dynamics: A potential marker of vulnerability to disease. , 1995, Chaos.

[6]  P. Åstrand,et al.  Textbook of Work Physiology , 1970 .

[7]  Gerard P. van Galen,et al.  Fitts' law as the outcome of a dynamic noise filtering model of motor control , 1995 .

[8]  K. Newell,et al.  Noise, information transmission, and force variability. , 1999, Journal of experimental psychology. Human perception and performance.

[9]  Manfred Schroeder,et al.  Fractals, Chaos, Power Laws: Minutes From an Infinite Paradise , 1992 .

[10]  G. V. Galen,et al.  Is stuttering caused by failing neuromuscular force control , 1997 .

[11]  R A Abrams,et al.  Optimality in human motor performance: ideal control of rapid aimed movements. , 1988, Psychological review.

[12]  A L Goldberger,et al.  Physiological time-series analysis: what does regularity quantify? , 1994, The American journal of physiology.

[13]  H. Zelaznik,et al.  Motor-output variability: a theory for the accuracy of rapid motor acts. , 1979, Psychological review.

[14]  K. M. Newell,et al.  The dynamical structure of tremor in tardive dyskinesia. , 1995, Chaos.

[15]  G Kamen,et al.  Motor unit discharge behavior in older adults during maximal-effort contractions. , 1995, Journal of applied physiology.

[16]  S M Pincus,et al.  Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[17]  S. S. Stevens,et al.  Psychophysics: Introduction to Its Perceptual, Neural and Social Prospects , 1975 .

[18]  A. Goldberger,et al.  Loss of 'complexity' and aging. Potential applications of fractals and chaos theory to senescence. , 1992, JAMA.