Welcome to the WSC 2022 Interactive Program
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*Please note that all sessions in halls Summit 1, Summit 2 & Hall 406 will be live streamed in addition to the onsite presentation
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Sessions in Halls 406, Summit 1 and Summit 2 have a Q&A component, through the congress App called “Ask the Speaker”
APPLICATION OF A WEARABLE SENSOR SYSTEM FOR OBJECTIVE DETECTION OF FOOT DROP
Abstract
Background and Aims
Foot drop is one of the most common causes of falls in hemiplegics. The Minimum Toe Clearance (MTC) is often used to identify fall risk, but some research has indicated MTC cannot identify fall risk in hemiplegics because of its high variability. The purpose of this study is to identify fall-related factors that can replace MTC from foot spatiotemporal gait parameters in hemiplegic patients using wearable sensors.
Methods
Patients with 12 chronic hemiplegias, including 5 with a history of falls, were studied. Three 10-meter cane walking trials were conducted using inertial sensors. A total of 21 calculated gait parameters were compared in two groups: paralyzed and non-paralyzed side as well as falling and non-falling group. Three-dimensional motion analysis was used to calculate the amount of dorsiflexion motion and foot ground contact angle during the gait cycle.
Results
The values for maximum toe height before ground contact for the paralyzed side of the non-fall group were significantly higher than those from the paralyzed side of the fall group. There were no significant differences in dorsiflexion movement and MTC between the two groups, but the ground entry angle was significantly lower in the fall group.
Conclusions
This study suggests that a decrease in pre-contact maximum toe height may be associated with the risk of falling in hemiplegic patients. The decrease in foot trajectory and ground entry angle during the gait cycle in the fall group indicates an inability to maintain toe height during the swing leg, meaning that a foot drop occurs during gait.