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 - Category: Journals (General) Authors: Eunjeong Park Hyuk-Jae Chang Hyo Suk Nam Source Type: research
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