Related Experiment Video
Updated: Apr 11, 2026

09:42
Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
2.4K
Explainable machine learning prediction of functional independence measure scores and gain in subacute stroke
Yuta Miyazaki1,2,3, Junna Oba4, Tetsuo Ishikawa4,5,6
1Department of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Chiba, Japan.
Journal of Neuroengineering and Rehabilitation
|April 10, 2026
Abstract
No abstract available in PubMed .
Keywords:
Explainable machine learningFunctional Independence MeasureMachine learningPrognosisRehabilitationSHAPStrokeMore Related Videos
08:55Use of a Foot-Induced Digitally Controlled Resistance Device for Functional Magnetic Resonance Imaging Evaluation in Patients with Foot Paresis
Published on: July 7, 2023
760
09:10Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
Published on: February 22, 2020
9.5K