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

AI Applications in Biomedical Engineering (15) Robotics in Rehabilitation (59) Machine Learning (2051) Artificial Intelligence (2090) Stroke (237) Cognitive and Neurorehabilitation (343) Neurorehabilitation and Technology (29)

Published on in Vol 9 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56980, first published .
Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach

Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach

Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach

Authors of this article:

Russell Jeter1, 2 Author Orcid Image ;   Raymond Greenfield1 Author Orcid Image ;   Stephen N Housley2, 3 Author Orcid Image ;   Igor Belykh1, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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  2. Martínez-Cid S, Herrera V, Schez-Sobrino S, Monekosso D, Glez-Morcillo C, Vallejo D. Artificial Intelligence in Physical Therapy for Neurological Rehabilitation: A Systematic Mapping Study. IEEE Access 2025;13:185065 View