Journal: Bioengineering
Article Title: Machine Learning- and Deep Learning-Based Myoelectric Control System for Upper Limb Rehabilitation Utilizing EEG and EMG Signals: A Systematic Review
doi: 10.3390/bioengineering12020144
Figure Lengend Snippet: A summary of selected studies on ML/DL applications for upper limb rehabilitation, summarizing authors, year, limb segment, data type, sensors, ML/DL models, participant details, study design, and model accuracy. This comprehensive summary highlights the diversity in methodologies and outcomes across the reviewed studies.
Article Snippet: 14 , Kim et al. [ ] , 2015 , Hand and arm , EEG , EEG System (Synamps 2, Compumed ics Neuroscan, TX, USA) , (MLR) , 9 healthy participants (5 males, 4 females), aged 25–31 years - , P , -.
Techniques: Muscles