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Medical & Biological Engineering & Computing

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01-04-2007 | Original Article

Model-based ankle joint angle tracing by cuff electrode recordings of peroneal and tibial nerves

Authors: Chou-Ching K. Lin, Ming-Shaung Ju, Hang-Shing Cheng

Published in: Medical & Biological Engineering & Computing | Issue 4/2007

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Abstract

The main goal of the present study was to estimate the ankle joint angle from the peroneal and tibial electroneurography (ENG) recordings. Two single-channel cuff electrodes for recording ENG were placed on the proximal part of rabbit peroneal and tibial nerves respectively and static positioning and ramp-and-hold stretches were performed to characterize the static and dynamic ENG responses. An ENG model, consisting of static and dynamic parts, was constructed to relate ENG to ankle angle trajectory and an inverse ENG model was derived to predict ankle angle. The results showed that the new model could accurately estimate large-range ankle angles during and after ramp-and-hold movements. Our study provides a basis for implementing joint angle tracing without using artificial angle sensors.

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Title: Model-based ankle joint angle tracing by cuff electrode recordings of peroneal and tibial nerves
Authors: Chou-Ching K. Lin
Ming-Shaung Ju
Hang-Shing Cheng
Publication date: 01-04-2007
Publisher: Springer-Verlag
Published in: Medical & Biological Engineering & Computing / Issue 4/2007
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI: https://doi.org/10.1007/s11517-007-0162-5

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