An efficient attention-driven deep neural network approach for continuous estimation of knee joint kinematics via sEMG signals during running.
Alireza Rezaie ZangeneOluwarotimi Williams SamuelAli AbbasiAlistair A. McEwanMojisola Grace AsogbonGuanglin LiKianoush NazarpourPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- neural network
- total knee replacement
- computer assisted
- joint angles
- signal processing
- artificial neural networks
- back propagation
- hand eye
- data driven
- genetic algorithm
- joint optimization
- estimation algorithm
- parameter estimation
- knn
- fuzzy logic
- neural network is trained
- recurrent neural networks
- signal reconstruction
- correlation function
- continuous valued
- accurate estimation
- independent component analysis
- fault diagnosis
- inverse kinematics
- estimation accuracy
- joint estimation
- network architecture
- self organizing maps
- multi layer
- neural nets
- degrees of freedom
- neural network model
- visual attention