Cargando…
MyoNet: A Transfer-Learning-Based LRCN for Lower Limb Movement Recognition and Knee Joint Angle Prediction for Remote Monitoring of Rehabilitation Progress From sEMG
The clinical assessment technology such as remote monitoring of rehabilitation progress for lower limb related ailments rely on the automatic evaluation of movement performed along with an estimation of joint angle information. In this paper, we introduce a transfer-learning based Long-term Recurren...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062147/ https://www.ncbi.nlm.nih.gov/pubmed/32190428 http://dx.doi.org/10.1109/JTEHM.2020.2972523 |
Ejemplares similares
-
Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements
por: Zhong, Tianyang, et al.
Publicado: (2021) -
Low-Density sEMG-Based Pattern Recognition of Unrelated Movements Rejection for Wrist Joint Rehabilitation
por: Bu, Dongdong, et al.
Publicado: (2023) -
sEMG-Based Motion Recognition of Upper Limb Rehabilitation Using the Improved Yolo-v4 Algorithm
por: Bu, Dongdong, et al.
Publicado: (2022) -
LST-EMG-Net: Long short-term transformer feature fusion network for sEMG gesture recognition
por: Zhang, Wenli, et al.
Publicado: (2023) -
sEMG feature evaluation for identification of elbow angle resolution in graded arm movement
por: Castro, Maria Claudia F, et al.
Publicado: (2014)