“Brain Vital Signs M-Score: Point-of-care Monitoring for Motor Recovery After Stroke”
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.
Recording of electroencephalographic (EEG) data
Non-invasive brain activity will be measured with electroencephalography (EEG). EEG uses scalp sensors to monitor the brain's electrical activity. EEG sensors are placed on the scalp and passively record neural activity with high time resolution.
Brain Vital Signs M-Score: Point-of-care Monitoring for Motor Recovery After Stroke