Strokes occur due to a disturbance in blood flow to the brain. This can lead to impaired sensory, motor, or cognitive function depending on the size and location of the lesion.

Assessment of sensorimotor and cognitive function plays a crucial role in all facets of patient care, from diagnosing the specific disease or injury to management of rehabilitation strategies. Current clinical assessment tools, such as Chedoke-McMaster Stroke Assessment, measure impairments in the shoulder, postural control, the arm, the hand, the leg and the foot on a 7-point scale. These scales are inherently subjective and have relatively coarse rating systems.

This project explores the use of robotics and data mining techniques to provide the next generation tools for assessment of the upper limbs of stroke patients.

We are developing a system that allows the input of the clinical data collected for each subject allowing it to be uploaded into the DB2 database.