This paper is in the following e-collection/theme issue:

Research Instruments, Questionnaires, and Tools (541) Artificial Intelligence (1198) Telehealth and Telemonitoring (1566) Machine Learning (1385) Wearable Devices and Sensors (818) Stroke (148)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20641, first published .
Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study

Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study

Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study

Authors of this article:

Eunjeong Park1 Author Orcid Image ;   Kijeong Lee2 Author Orcid Image ;   Taehwa Han3 Author Orcid Image ;   Hyo Suk Nam4 Author Orcid Image
Article Authors Cited by (26) Tweetations (4) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.