Active aging prediction from muscle electrical activity using HD-sEMG signals and machine learning.
Sidi Mohamed Sid'El MoctarAhmad DiabImad RidaKiyoka KinugawaSofiane BoudaoudPublished in: CBMS (2023)
Keyphrases
- electrical activity
- machine learning
- ecg signals
- prediction accuracy
- machine learning methods
- eeg signals
- wet lab
- computational intelligence
- explanation based learning
- prediction error
- learning systems
- data mining
- action potentials
- learning tasks
- knowledge acquisition
- neural network
- text classification
- prediction model
- knowledge representation
- computational biology
- data analysis
- computer science
- prediction algorithm
- electron micrographs
- model selection
- active learning
- feature extraction
- computer vision