tailieunhanh - Báo cáo khoa hoc:" Automatic identification of gait events using an instrumented sock"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Automatic identification of gait events using an instrumented sock | Preece et al. Journal of NeuroEngineering and Rehabilitation 2011 8 32 http content 8 1 32 Iril JOURNAL OF NEUROENGINEERING NCR AND REHABILITATION RESEARCH Open Access Automatic identification of gait events using an instrumented sock 1 1 12 3 4 Stephen J Preece Laurence PJ Kenney Matthew J Major Tilak Dias Edward Lay and Bosco T Fernandes Abstract Background Textile-based transducers are an emerging technology in which piezo-resistive properties of materials are used to measure an applied strain. By incorporating these sensors into a sock this technology offers the potential to detect critical events during the stance phase of the gait cycle. This could prove useful in several applications such as functional electrical stimulation FES systems to assist gait. Methods We investigated the output of a knitted resistive strain sensor during walking and sought to determine the degree of similarity between the sensor output and the ankle angle in the sagittal plane. In addition we investigated whether it would be possible to predict three key gait events heel strike heel lift and toe off with a relatively straight-forward algorithm. This worked by predicting gait events to occur at fixed time offsets from specific peaks in the sensor signal. Results Our results showed that for all subjects the sensor output exhibited the same general characteristics as the ankle joint angle. However there were large between-subjects differences in the degree of similarity between the two curves. Despite this variability it was possible to accurately predict gait events using a simple algorithm. This algorithm displayed high levels of trial-to-trial repeatability. Conclusions This study demonstrates the potential of using textile-based transducers in future devices that provide active gait assistance. Background Foot drop is currently estimated to affect approximately 20 of stroke survivors 1 . With this condition patients are unable to dorsiflex their ankle due to

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