Classification of Transhumeral Movements Using Deformable CNN With Magnitude-Based STFT From Tripartite EMG Sensor Data

Transhumeral movement classification via Electromyographic (EMG) signals is a critical step forward in the quest to develop advanced prosthetic limbs that closely mimic natural arm movements, thereby significantly enhancing the quality of life for amputees. This paper introduces a novel framework th...

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Detalhes bibliográficos

Principais autores:	Narathip Chaobankoh, Khomdet Phapatanaburi, Wongsathon Pathonsuwan, Talit Jumphoo, Monthippa Uthansakul, Peerapong Uthansakul
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
coleção:	IEEE Access
Assuntos:	Electromyography deformable convolutional neural networks medial deltoid muscle triceps muscle biceps muscle convolution neural network
Acesso em linha:	https://ieeexplore.ieee.org/document/10599467/
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