A model-free technique based on computer vision and sEMG for classification in Parkinson's disease by using computer-assisted handwriting analysis
Patients suffering from Parkinson's disease are characterized by an abnormal handwriting
activity since they have difficulties in motor coordination and a decline in cognition. In this …
activity since they have difficulties in motor coordination and a decline in cognition. In this …
Arm movement recognition from EMG signals using HHT based method
N Sadi-Ahmed, M Kedir-Talha… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The aim of this study is to propose a procedure for the recognition of arm movements using
EMG signals. This recognition will be used to control intelligent arm prostheses by the brain …
EMG signals. This recognition will be used to control intelligent arm prostheses by the brain …
Recognition of multiple arm movements from EMG signals
N Sadi-Ahmed, M Kedir-Talha… - 2024 8th International …, 2024 - ieeexplore.ieee.org
Controlling smart forearm and hand myoelectric prostheses requires reliable recognition of
one type of arm movement among several other types. In this study, using real EMG signals …
one type of arm movement among several other types. In this study, using real EMG signals …
[PDF][PDF] Sistema de clasificación SVM de señales electromiográficas extraídas en un sistema embebido.
LDR Crusaley, JR Cárdenas-Valdez, GE Vázquez… - Res. Comput …, 2019 - rcs.cic.ipn.mx
El presente trabajo presenta el diseño de un sistema de adquisición de señales biomédicas
electromiográficas inalámbrico, el cual registra las señales musculares 2 en la tarjeta de …
electromiográficas inalámbrico, el cual registra las señales musculares 2 en la tarjeta de …
[引用][C] Sistema para Diagnóstico de Enfermedades Neuromusculares mediante procesamiento de señales Mioeléctricas
CS Martínez - 2020 - Universidad Autónoma de San Luis …