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

Chou-Ching Lin, Ming-Shaung Ju, Hang Shing Cheng

Research output: Contribution to journalArticle

9 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)375-385
Number of pages11
JournalMedical and Biological Engineering and Computing
Volume45
Issue number4
DOIs
Publication statusPublished - 2007 Apr 1

Fingerprint

Tibial Nerve
Peroneal Nerve
Ankle Joint
Ankle
Electrodes
Architectural Accessibility
Dynamic response
Joints
Trajectories
Rabbits
Sensors

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

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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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Model-based ankle joint angle tracing by cuff electrode recordings of peroneal and tibial nerves. / Lin, Chou-Ching; Ju, Ming-Shaung; Cheng, Hang Shing.

In: Medical and Biological Engineering and Computing, Vol. 45, No. 4, 01.04.2007, p. 375-385.

Research output: Contribution to journalArticle

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