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Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted Feature Extraction Scheme for Boosting Performance in Gait Phase Recognition

Gait phase recognition systems based on surface electromyographic signals (EMGs) are crucial for developing advanced myoelectric control schemes that enhance the interaction between humans and lower limb assistive devices. However, machine learning models used in this context, such as Linear Discrim...

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Principais autores: Andrea Tigrini, Rami Mobarak, Alessandro Mengarelli, Rami N. Khushaba, Ali H. Al-Timemy, Federica Verdini, Ennio Gambi, Sandro Fioretti, Laura Burattini
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-09-01
coleção:Sensors
Assuntos:
gait
EMG
myoelectric control
feature extraction
deep learning
lower limb
Acesso em linha:https://www.mdpi.com/1424-8220/24/17/5828
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