Masters Applied Projects

Project 1

Analysis of Plantar and Dorsiflexion Strength as a Predictor of Falls in Stroke Survivors

Student:

Grant Brown

Mentors:

Dr. Claire Honeycutt – SBHSE

Dr. Hyunglae Lee – SEMTE

Dr. Sydney Schaefer – SBHSE

YouTube Link:
View the video link below before joining the zoom meeting

Zoom link:
https://asu.zoom.us/j/82963636849

Abstract:

Falls are the leading medical complication of stroke survivors often caused by the presence of foot drop. Foot drop is characterized as the inability to dorsiflex toes during the swing phase of gait. During our research, we hypothesize that individuals with a higher ratio of plantarflexion strength to dorsiflexion strength will experience falls at a higher rate. Plantarflexion and dorsiflexion data was collected from 42 cortical stroke survivors using a biodex system. The ratio of plantarflexion to dorsiflexion was calculated using the maximal voluntary contraction data, that was normalized using the bodyweight of the individual. These individuals were then divided into three groups based on their prescribed treatment (AFO, FES, or no treatment). Subjects were then placed on a GRAIL treadmill system and exposed to posterior perturbations simulating a trip. Fall rate was calculated by taking the number of trials where a fall occurred and dividing it by the total number of trials. Kinematic data was also collected during these trials using a modified Helen Hayes. The fall data was then compared to the calculated ratios to determine if there were any correlations with fall rate and other kinematic variables including trunk flexion strength and trunk velocity. The results of this study may provide valuable clinical diagnostic tools due to the relative ease in collecting plantarflexion and dorsiflexion data. This ratio could be used to help clinicians accurately predict which individuals are at a greater risk for fall injury and help save lives.