The purpose of gait analysis is to qualify a person's walking pattern and the neuromuscular strategies used by the body to produce the observed movement. A computerized video camera system measures the movement pattern and special platforms built into the floor measure forces acting on the feet. From the measured movements and forces, the mechanical work done by the body during walking can be estimated. Current techniques used to approximate work oversimplify the model of the body and its movements and introduce errors into the estimates. The purpose of our research is to investigate more complex models of the body to learn how these models affect mechanical work estimates. One study of 20 normal subjects that examined the work done at the ankle joint during gait has been accepted for publication. The study employed a more sophisticated model of the ankle joint and included additional terms, previously ignored, in the mechanical work calculations. Another study currently underway will examine the work done at the knee joint of the same ten subjects. Finally, a third study of another 15 subjects suggests the model of the foot and the assumptions made about its behavior during gait result in erroneous estimates of work done by the foot. The results of these studies strongly suggest that these new approaches are essential to improving the validity of mechanical work estimates. The use of these estimates in gait analysis will have implications for rehabilitation and surgical treatment planning in patient populations.

Agency
National Institute of Health (NIH)
Institute
Clinical Center (CLC)
Type
Intramural Research (Z01)
Project #
1Z01CL060017-03
Application #
3774529
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
3
Fiscal Year
1993
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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