Adaptive Stimulation Profiles Modulation for Foot Drop Correction Using Functional Electrical Stimulation: A Proof of Concept Study.


Journal

IEEE journal of biomedical and health informatics
ISSN: 2168-2208
Titre abrégé: IEEE J Biomed Health Inform
Pays: United States
ID NLM: 101604520

Informations de publication

Date de publication:
01 2021
Historique:
pubmed: 29 4 2020
medline: 25 9 2021
entrez: 29 4 2020
Statut: ppublish

Résumé

Functional electrical stimulation (FES) provides an effective way for foot drop (FD) correction. To overcome the redundant and blind stimulation problems in the state-of-the-art methods, this study proposes a closed-loop scheme for an adaptive electromyography (EMG)-modulated stimulation profile. The developed method detects real-time angular velocity during walking. It provides feedbacks to a long short-term memory (LSTM) neural network for predicting synchronous tibialis anterior (TA) EMG. Based on the prediction, it modulates the stimulation intensity, taking into account of the subject-specific dead zone and saturation of the electrically evoked activation. The proposed method is tested on ten able-bodied participants and six FD subjects as proof of concept. The experimental results show that the proposed method can successfully induce the dorsiflexion of the ankle joint, and generate an activation pattern similar to a natural gait, with the mean Correlation Coefficient of 0.9021. Thus, the proposed method has the potential to help patients to retrieve normal gait.

Identifiants

pubmed: 32340970
doi: 10.1109/JBHI.2020.2989747
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

59-68

Auteurs

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Classifications MeSH