Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients.

Sensors and machine learning methods can reliably detect stroke signs and quantify proximal arm weakness. Our proposed solution will facilitate pervasive monitoring of stroke patients.