Neuro-fuzzy extraction of angular information from muscle afferents for ankle control during standing in paraplegic subjects: an animal model

Micera, S.; Jensen, W.; Sepulveda, F.; Riso, R.R.; Sinkjaer, T.

doi:10.1109/10.930903

Cited by 58Muscle activation and electromyography studiesFuzzy Logic and Control SystemsProsthetics and Rehabilitation Robotics

Neuro-fuzzy extraction of angular information from muscle afferents for ankle control during standing in paraplegic subjects: an animal model

Micera, S., Jensen, W., Sepulveda, F., Riso, R.R., Sinkjaer, T.·2001·IEEE Transactions on Biomedical Engineering

DOI 10.1109/10.930903

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Abstract

This paper is part of a project whose aim is the implementation of closed-loop control of ankle angular position during functional electrical stimulation (FES) assisted standing in paraplegic subjects using natural sensory information. In this paper, a neural fuzzy (NF) model is implemented to extract angular position information from the electroneurographic signals recorded from muscle afferents using cuff electrodes in an animal model. The NF model, named dynamic nonsingleton fuzzy logic system is a Mamdani-like fuzzy system, implemented in the framework of recurrent neural networks. The fuzzification procedure implemented was the nonsingleton technique which has been shown in previous works to be able to take into account the uncertainty in the data. The proposed algorithm was tested in different situations and was able to predict reasonably well the ankle angular trajectories especially for small excursions (as during standing) and when the stimulation sites are far from the registration sites. This suggests it may be possible to use activity from muscle afferents recorded with cuff electrodes for FES closed-loop control of ankle position during quite standing.

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Motor and sensory nerve signals gathered using cuff electrodes have been used to guide and fine-tune prostheses such as artificial limbs in human patients.
“Although more challenging to carry out compared to nerve stimulation due to the distance between electrodes and the weak electrical signals transmitted by axons, with an ECM-rich epineurium separating the two, motor and sensory nerve signals gathered using cuff electrodes have been used to guide and fine-tune prostheses such as artificial limbs in human patients (Micera et al., 2001; Navarro et al”
From Foreign Body Reaction to Implanted Biomaterials and Its Impact in Nerve Neuroprosthetics (2021) · cites this paper as Micera et al., 2001

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Authors: Micera, S., Jensen, W., Sepulveda, F., Riso, R. R., & Sinkjaer, T.
Affiliations: Scuola Superiore Sant'Anna (IT)
Aalborg University (DK)
ORCID: Micera, S.
Jensen, W.
Sepulveda, F.
Venue: IEEE Transactions on Biomedical Engineering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2001-07
Volume: 48
Issue: 7
Pages: 787-794
ISSN: 0018-9294 (ISSN-L)
DOI: 10.1109/10.930903
OpenAlex: W2157741002
Cited by: 58
References: 28
Citations by year: 2023: 1 · 2022: 2 · 2021: 2 · 2019: 2 · 2017: 2 · 2015: 4 · 2014: 1 · 2013: 4
FWCI: 1.90
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Biomedical Engineering (publishedVersion)
PubMed (publishedVersion)
VBN Forskningsportal (Aalborg Universitet) (submittedVersion)
CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies) (submittedVersion)
Funders: Scuola Superiore Sant'Anna
Topics: Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
Physical Sciences › Computer Science › Artificial Intelligence › Fuzzy Logic and Control Systems
Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
Keywords: fuzzy neural network, muscle afferents, functional electrical stimulation, paraplegia, cuff electrodes, electroneurography, recurrent neural networks, sensory feedback
MeSH terms: Algorithms, Animals, Ankle Joint, Disease Models, Animal, Electric Stimulation, Electrophysiology, Female, Humans, Male, Models, Neurological, Nerve Net, Paraplegia, Peroneal Nerve, Posture, Rabbits, Signal Processing, Computer-Assisted, Spinal Cord Injuries, Tibial Nerve, Fuzzy Logic, Muscle, Skeletal

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Neuro-fuzzy extraction of angular information from muscle afferents for ankle control during standing in paraplegic subjects: an animal model

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