Kinetics: our window into the goals and strategies of the central nervous system

The goal of this chapter is to demonstrate the role of integrated biomechanical analyses in complex movements such as gait in alerting researchers of the goals and synergies of the CNS. Because of the large number of segments involved and the potential for the CNS to take advantage of inter-limb coupling it is only through appropriate biomechanical analyses that such collaboration can be identified. Examples from normal, perturbed, elderly and pathological gait are presented to demonstrate the principles of total limb and total body analysis to pinpoint the goals of the CNS and to identify total limb or body synergies and adaptations in the elderly and in gait pathologies. Such findings reinforce the generalizations made many years ago by Bernstein [2] when he postulated several simplifying principles of CNS control. Also, evident from these analyses are the precision and accuracy of biomechanical variables that make these measures particularly sensitive to small changes within an individual or across a population group.

[1]  T. McMahon,et al.  Fast running tracks. , 1978, Scientific American.

[2]  D. Winter,et al.  Overall principle of lower limb support during stance phase of gait. , 1980, Journal of biomechanics.

[3]  C. D. De Luca,et al.  Control scheme governing concurrently active human motor units during voluntary contractions , 1982, The Journal of physiology.

[4]  D. Winter,et al.  Transfers of mechanical energy within the total body and mechanical efficiency during treadmill walking. , 1980, Ergonomics.

[5]  D A Winter,et al.  Adaptations in gait resulting from unilateral ischaemic block of the leg. , 1992, Clinical biomechanics.

[6]  A E Patla,et al.  Age-related changes in balance control system: initiation of stepping. , 1993, Clinical biomechanics.

[7]  D. Winter.  Kinematic and kinetic patterns in human gait: Variability and compensating effects , 1984 .

[8]  N. A. Bernshteĭn.  The co-ordination and regulation of movements , 1967 .

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

[10]  D. Winter,et al.  Biomechanics of normal and pathological gait: implications for understanding human locomotor control. , 1989, Journal of motor behavior.

[11]  D A Winter,et al.  Balance control in the elderly: implications for clinical assessment and rehabilitation. , 1992, Canadian journal of public health = Revue canadienne de sante publique.

[12]  Time-Life Books,et al.  WALKING AND RUNNING. , 1885, Science.

[13]  E. Henneman,et al.  RELATIONS BETWEEN STRUCTURE AND FUNCTION IN THE DESIGN OF SKELETAL MUSCLES. , 1965, Journal of neurophysiology.

[14]  D. Winter,et al.  Biomechanical walking pattern changes in the fit and healthy elderly. , 1990, Physical therapy.

[15]  D. Winter.  Foot trajectory in human gait: a precise and multifactorial motor control task. , 1992, Physical therapy.

[16]  A. Thorstensson,et al.  Trunk movements in human locomotion. , 1984, Acta physiologica Scandinavica.

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

[18]  D A Winter,et al.  An integrated EMG/biomechanical model of upper body balance and posture during human gait. , 1993, Progress in brain research.

[19]  Alan J. McComas,et al.  Human muscle power , 1986 .