By studying how net joint moments and individual muscle forces contribute to the control of human movement, we intend to link the capabilities of a physically challenged person to his or her ability to perform activities of daily living. Measuring these contributions is critical for defining adaptive movement control strategies, understanding the process by which movement control strategies for activities like walking, standing and rising from a seated position are selected and implemented, and determining the contribution that assistive technologies play in enhancing function. We have extended existing movement analysis methodologies that estimate the influence of joint moments or muscle forces on the motion of individual joints and body segments, as well as their contribution to overall task performance.? ? Earlier efforts to determine the contribution of net muscular joint moments and individual muscle forces to human movement control have been limited by the assumption that the relative contribution of muscular effort to the control of movement is independent of the position of the body segments. A generalized coordinate formulation of the equations of motion shows that this assumption is incorrect and can lead to errors in interpreting human movement analysis data. Our past research revealed that the generation of forward velocity during normal gait arises primarily from ankle joint plantar flexor push-off, rather than through a controlled fall. We found that the ankle joint plantar flexor muscle group produces forward acceleration of the upper body during periods in which the same muscle group acts eccentrically. We examined the relative contribution of the lower extremity joint moments to the maintenance of upright posture (support) and found that, during the single limb support phase, ankle moments generate the greatest contribution to support. We also examined the relative sensitivity of the joint accelerations to the joint moments during the foot-flat phase of gait and found that the ankle, knee and hip joint accelerations are almost twice as sensitive to moments generated at the knee than to the moments at any other lower extremity joint. During the heel-off phase of gait, the acceleration sensitivities at both the ankle and hip joints increase in response to moments at their own joint. It is clear from these data that there is significant redundancy in controlling the motion of the stance limb. Application of the model to patients with severe muscle weakness has shown how they can exploit this redundancy to develop a variety of alternative movement control strategies during gait and sit-to-stand movements to compensate for weak or lost muscle function. We have further extended the model used in these analyses to estimate the sources of mechanical energy exchange between segments, and have used it to determine the muscle groups responsible for the inter-segment transfer of mechanical energy during gait. We found that the energy transfer depends on the sign of the joint moment, rather than on the sign of the joint power, and that pairs of net joint moments function in combination to balance energy flow through the leg and trunk segments during normal gait.

Agency
National Institute of Health (NIH)
Institute
Clinical Center (CLC)
Type
Intramural Research (Z01)
Project #
1Z01CL060017-16
Application #
7332080
Study Section
(PDB)
Project Start
Project End
Budget Start
Budget End
Support Year
16
Fiscal Year
2006
Total Cost
Indirect Cost
Name
Clinical Center
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Goldberg, Saryn R; Stanhope, Steven J (2013) Sensitivity of joint moments to changes in walking speed and body-weight-support are interdependent and vary across joints. J Biomech 46:1176-83
Goldberg, Saryn R; Kepple, Thomas M (2009) Muscle-induced accelerations at maximum activation to assess individual muscle capacity during movement. J Biomech 42:952-5
Mazza, Claudia; Stanhope, Steven J; Taviani, Antonio et al. (2006) Biomechanic modeling of sit-to-stand to upright posture for mobility assessment of persons with chronic stroke. Arch Phys Med Rehabil 87:635-41
Siegel, Karen Lohmann; Kepple, Thomas M; Stanhope, Steven J (2006) Using induced accelerations to understand knee stability during gait of individuals with muscle weakness. Gait Posture 23:435-40
Manal, Kurt; Chang, Chih-Chung; Hamill, Joseph et al. (2005) A three-dimensional data visualization technique for reporting movement pattern deviations. J Biomech 38:2151-6
Slobounov, S; Hallett, M; Stanhope, S et al. (2005) Role of cerebral cortex in human postural control: an EEG study. Clin Neurophysiol 116:315-23
Siegel, Karen Lohmann; Kepple, Thomas M; Stanhope, Steven J (2004) Joint moment control of mechanical energy flow during normal gait. Gait Posture 19:69-75
Mazza, Claudia; Benvenuti, Francesco; Bimbi, Carlo et al. (2004) Association between subject functional status, seat height, and movement strategy in sit-to-stand performance. J Am Geriatr Soc 52:1750-4
Manal, Kurt; Stanhope, Steven J (2004) A novel method for displaying gait and clinical movement analysis data. Gait Posture 20:222-6
Manal, K; McClay Davis, I; Galinat, B et al. (2003) The accuracy of estimating proximal tibial translation during natural cadence walking: bone vs. skin mounted targets. Clin Biomech (Bristol, Avon) 18:126-31

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