Assessment is critical during the procedure of stroke rehabilitation. However, traditional
assessment methods are time‐consuming, laborious, and dependent on the skillfulness of …

Purpose: We aimed to develop and validate the first robotic-based instrument and procedure
for assessing upper extremity motor impairments in patients with stroke and to test its …

Background Stroke units provide patients with a multiparametric monitoring of vital functions,
while no instruments are actually available for a continuous monitoring of patients motor …

Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …

Background Robots can generate rich kinematic datasets that have the potential to provide
far more insight into impairments than standard clinical ordinal scales. Determining how to …

Technology aided measures offer a sensitive, accurate and time-efflcient approach for the
assessment of sensorimotor function after neurological impairment compared to standard …

Background One of the most promising applications for electroencephalogram (EEG)-based
brain computer interface is for stroke rehabilitation. Implemented as a standalone motor …

Background Incorporating instrument measurements into clinical assessments can improve
the accuracy of results when assessing mobility related to activities of daily living. This can …

Stroke is a worldwide healthcare problem, which often causes long-term motor impairment,
handicap, and disability. Optical motion analysis systems are commonly used for impairment …

Background: Deep learning techniques can outperform traditional machine learning
techniques and learn from unstructured and perceptual data, such as images and …