The purpose of gait analysis is to quantify 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. The study of 10 normal subjects that examined the work done at the ankle joint during gait has been published. The study employed a more sophisticated model of the ankle joint and included additional terms, previously ignored, in the mechanical work calculations. Data from another study which examined the mechanical work done at the knee joint has been completed and presented. A third study involving another 15 subjects produced a dramatically improved model of the foot. A final study, currently underway, is investigating the effect of dramatically different walking speeds on the mechanics of walking. It is hypothesized that two modes of walking exist rather than a continuum of a single walking strategy. The results of these studies suggest that a complete and numerically consistent mechanical characterization of human movement is feasible. The application of these analytic techniques to the evaluation of human motion will have implications for rehabilitation and surgical treatment in patient populations.

Agency
National Institute of Health (NIH)
Institute
Clinical Center (CLC)
Type
Intramural Research (Z01)
Project #
1Z01CL060017-05
Application #
5201217
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
5
Fiscal Year
1995
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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