The purpose of this research is to find the optimal patterns of functional electrical stimulation (FES) of muscles in the lower legs that will improve walking ability in those who have had a stroke and at the same time ensure walking stability. FES involves applying small electric currents to the nerves, which cause the muscles to contract. FES research projects vary from simple investigations of the therapeutic effects of exercise on muscle function and skin health, to more complex studies of functional movements such as standing or walking.
The study aims to find the optimal patterns of functional electrical stimulation (FES) of muscles in the lower legs that will improve walking ability in those who have had a stroke and at the same time ensure walking stability will be achieved through an analytical approach comprised of computational models and gait simulations to objectively determine patient-specific patterns of muscle activation. The investigators will develop a computer simulation of the dynamics of hemiplegic gait characterized by unilateral plantarflexor weakness. Then, the investigators will relate the results of the computer model results to real data collected from subjects with known plantarflexor weakness to provide a theoretical basis for improving gait efficiency and stability with FES.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
9
Surface stimulation to contract the muscles in the lower extremity
Louis Stokes VA Medical Center, Cleveland, OH
Cleveland, Ohio, United States
Walking Stability and Speed
This was a feasibility study of computational models and gait simulations to objectively determine patient-specific patterns of muscle activation. We developed computer models and walking simulations of hemiplegic gait from 8 subjects. We related the model results (muscle activations) to the optimized data collected from hemiplegic subjects \& calculated the FES pattern to be delivered in 2 forms (open loop \& foot switch triggered). The primary outcome measure turned out to be the feasibility of the methods because after developing our computer modeling and computational optimization framework we could only test walking with the 2 forms of FES at the same preferred walking speed on a treadmill. Thus, the simulated walking speed and the real walking speed pre and post FES turned out to be the same. Walking stability was measured with variability in work performed at the ankle. The additional volitional and FES biomechanical data that were measured are listed in the secondary measures.
Time frame: pre-stimulation (volitional) and post-stimulation (FES), day of the study
Peak Ankle Power
This is the peak ankle power during walking normalized by body weight.
Time frame: Same day: pre-stimulation (volitional) and post-stimulation (FES), day of the study
Positive Ankle Work
This is the amount of positive work performed by the ankle during walking normalized by body mass.
Time frame: Same day; pre-stimulation (volitional) and post-stimulation (FES), day of the study
The Impulse of the Anterior Ground Reaction Force Normalized by Body Mass.
The is the magnitude of ground reaction force over time per step in the anterior direction during walking.
Time frame: Same day: pre-stimulation (volitional) and post-stimulation (FES), day of the study
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