Skip to main content
Vai all'homepage della Commissione europea (si apre in una nuova finestra)
italiano it
CORDIS - Risultati della ricerca dell’UE
CORDIS

Clinical Evaluation of Automatic FES Calibration

Obiettivo

Clinical evidence has shown that functional electrical stimulation (FES) improves hand movements in patients with motor disabilities, helping stroke or spinal cord injury patients regain limb function. Multi-array FES uses a high-density electrode array that can selectively activate specific muscle groups and enable selective hand movements. However, user-specific neuromuscular behavior and unknown electrode positions require calibration at each use. This process is time-consuming, error-prone, and dependent on clinical expertise, making manual calibration a major bottleneck to clinical and commercial adoption. Automating calibration reduces setup time, leaving more time for therapy and enabling unsupervised use in rehabilitation and activities of daily living (ADL). We developed and validated a robust Bayesian optimisation for reliable automatic FES calibration, showing strong performance in healthy participants. However, translation to clinical populations requires patient data because pathological muscle physiology (nonlinear neuromuscular dynamics, altered muscle tone and spasticity, and abnormal muscle synergy) introduces patient-specific behaviors that must be explicitly modelled and cannot be reliably inferred from healthy participants. To address this gap and increase TRL, this project collects and analyses clinical data from post-stroke patients and defines clinical constraints, performance requirements, and usability specifications for high-TRL system validation. Clinical data allows identification of patient-specific neuromuscular characteristics needed for individualised modeling and the derivation of performance metrics assessing calibration efficiency, stimulation selectivity, functional task performance, and system usability and robustness. These evaluations aim to establish automatic multi-array FES calibration (Auto-FES) as a practical, robust, easy-to-operate assistive technology suitable for unsupervised use in clinical and home settings.

Campo scientifico (EuroSciVoc)

Questo progetto non è ancora stato classificato con EuroSciVoc.
Suggerisci i campi scientifici che ritieni più rilevanti e aiutaci a migliorare il nostro servizio di classificazione.

Programma(i)

Argomento(i)

Meccanismo di finanziamento

HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

Vedi tutti i progetti finanziati nell’ambito di questo schema di finanziamento

Invito a presentare proposte

(si apre in una nuova finestra) ERC-2026-POC

Vedi tutti i progetti finanziati nell’ambito del bando

Istituzione ospitante

TECHNISCHE UNIVERSITAET MUENCHEN
Contributo netto dell'UE
€ 132 980,00
Indirizzo
Arcisstrasse 21
80333 Muenchen
Germania
Regione
Bayern Oberbayern München, Kreisfreie Stadt
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
Nessun dato

Beneficiari (2)