Work

A filtering method for FES-based hybrid systems

Year: 2024

Type: conference-paper

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14731155

Authors: Strozza, Laura, Demofonti, Andrea, Cordella, Francesca, Zollo, Loredana

Language: English

Topic: Muscle activation and electromyography studies

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6949473428

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