Stroke Patient Ambulation
Description
In this study, researchers verified a deep learning model that standardizes gait severity in stroke patients using the Functional Ambulation Category (FAC) scale for mild, moderate, and severe stroke groups. This model achieved training accuracy of 0.981 and test accuracy of 0.903. Researchers highlight the usefulness of this model in objectively evaluating gait.
Creator
Seoul Metropolitan Government Boramae Medical Center, Hanyang University, Chonnam National University Medical School & Hospital, Seoul St. Mary’s Hospital, Ewha Woman’s University, Seoul National University Hospital and College of Medicine
Information
Pediatrics or Adult
Adult
Speciality
Neurology
Modality
Video
Training
203 stroke patients, 182 healthy individuals
Github
Publication
FDA