Graphical User Interface to Automate the Acquisition of sEMG Signals in Users with Transradial Amputation

Davis Suarez, Enzo Romero, Jose G. Garcia, Dante A. Elias

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Current research in prosthetic devices emphasizes individual autonomy, primarily through utilizing superficial Electromyography (sEMG) signals. EMG data from amputees is limited and often comes with constraints. To tackle this challenge, a Graphical User Interface (GUI) is proposed to automate capturing and labeling movements, employing clear graphical prompts to inform users about which movement to perform and when. The latency between the visual cue and the user's movement intention was measured in 10 participating volunteers. The obtained times demonstrated that, with continuous interaction, there are promising results of reduced latency lower than 250 ms for automatic labeling of sEMG signals.

Idioma originalInglés
Título de la publicación alojadaIEEE Andescon, ANDESCON 2024 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350355284
DOI
EstadoPublicada - 2024
Evento12th IEEE Andescon, ANDESCON 2024 - Cusco, Perú
Duración: 11 set. 202413 set. 2024

Serie de la publicación

NombreIEEE Andescon, ANDESCON 2024 - Proceedings

Conferencia

Conferencia12th IEEE Andescon, ANDESCON 2024
País/TerritorioPerú
CiudadCusco
Período11/09/2413/09/24

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