Myoelectric and Inertial Data Fusion Through a Novel Attention-Based Spatiotemporal Feature Extraction for Transhumeral Prosthetic Control: An Offline Analysis

This study proposes a feature extraction scheme that fuses accelerometric (ACC) and electromyographic (EMG) data to improve shoulder movement identification in individuals with transhumeral amputation, in whom the clinical need for intuitive control strategies enabling reliable activation of full-ar...

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Autores principales:	Andrea Tigrini, Alessandro Mengarelli, Ali H. Al-Timemy, Rami N. Khushaba, Rami Mobarak, Mara Scattolini, Gaith K. Sharba, Federica Verdini, Ennio Gambi, Laura Burattini
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-09-01
Colección:	Sensors
Materias:	myoelectric control pattern recognition shoulder joint spatiotemporal feature extraction transhumeral amputees
Acceso en línea:	https://www.mdpi.com/1424-8220/25/18/5920
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