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

BACKGROUND: The pronator drift test (PDT), a neurological examination, is widely used in clinics to measure motor weakness of stroke patients. OBJECTIVE: The aim of this study was to develop a PDT tool with machine learning classifiers to detect stroke symptoms based on quantification of proximal ar...

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Detalles Bibliográficos
Autores principales: Park, Eunjeong, Chang, Hyuk-Jae, Nam, Hyo Suk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413803/
https://www.ncbi.nlm.nih.gov/pubmed/28420599
http://dx.doi.org/10.2196/jmir.7092

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413803/
https://www.ncbi.nlm.nih.gov/pubmed/28420599
http://dx.doi.org/10.2196/jmir.7092

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