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

Conclusions: 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.

Source: Journal of Medical Internet Research - April 18, 2017 Category: Journals (General) Authors: Eunjeong Park Hyuk-Jae Chang Hyo Suk Nam Source Type: research