A filtering method for FES-based hybrid systems

The adoption of hybrid functional electrical stimulation (FES) and exoskeletons represents a potential solution for upper-limb assistance. The aim of this paper is to propose and validate a novel FES artifact filtering method and to verify its performance when integrated in a closed-loop FES driven by the ipsilateral electromyographic (EMG) upper limb signals. The obtained results demonstrated the effectiveness of the approach in retrieving the volitional EMG signal enabling a participant to perform daily tasks with an 80% success rate.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-25
DOI
https://doi.org/10.5281/zenodo.14731156
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A filtering method for FES-based hybrid systems

Zenodo (CERN European Organization for Nuclear Research)
Muscle activation and electromyography studies
article

A filtering method for FES-based hybrid systems

article en

Abstract

The adoption of hybrid functional electrical stimulation (FES) and exoskeletons represents a potential solution for upper-limb assistance. The aim of this paper is to propose and validate a novel FES artifact filtering method and to verify its performance when integrated in a closed-loop FES driven by the ipsilateral electromyographic (EMG) upper limb signals. The obtained results demonstrated the effectiveness of the approach in retrieving the volitional EMG signal enabling a participant to perform daily tasks with an 80% success rate.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 66%
Muscle activation and electromyography studies
DOIOpen Access PDFOpenAlex
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A filtering method for FES-based hybrid systems · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS