Stopped: low recruitment
The purpose of this study is to investigate brain signals relating to motor function, using electroencephalography (EEG) technology. The aims of the study can be separated into 3 specific study objectives: 1. Record EEG data from control participants and individuals with stroke during basic motor tasks and build a database of EEG signals to enable analysis of motor control. 2. Apply signal processing algorithms to extract EEG features related to motor control. 3. Develop a framework/the motor score (M-Score) that uses the EEG signals, in combination with machine learning approaches, to quantify motor control ability.
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Resting state EEG measures
Timeframe: 1 day
Motor task EEG measures
Timeframe: 1 day
Imagery task EEG measures
Timeframe: 1 day