Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients.
Eunjeong ParkSeo Young SongHyo Suk NamPublished in: Journal of medical Internet research (2017)
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.