Development of a Deep Learning-Enhanced Lower-Limb Exoskeleton Using Electromyography Data for Post-Neurovascular Rehabilitation

S Ibrayev, B Omarov, B Amanov… - Engineered …, 2024 - espublisher.com
This paper presents the development of a deep learning-enhanced lower-limb exoskeleton
designed to facilitate post-neurovascular rehabilitation using electromyography (EMG) data …

[HTML][HTML] Ultrathin, Stretchable, and Twistable Ferroelectret Nanogenerator for Facial Muscle Detection

Z Song, X Cai, Z Chen, Z Zhu, Y Cao, W Li - Nanoenergy Advances, 2024 - mdpi.com
Ferroelectret nanogenerators (FENGs) have garnered attention due to their unique porous
structure and excellent piezoelectric performance. However, most existing FENGs lack …

Hand gestures classification of sEMG signals based on BiLSTM-Metaheuristic Optimization and Hybrid U-Net-MobileNetV2 Encoder Architecture

SF Khavari, K Rezaee, M Ansari, F Zare… - 2024 - researchsquare.com
Surface electromyography (sEMG) data has been extensively utilized in deep learning
algorithms for hand movement classification. This paper aims to introduce a novel method …