Transfemoral Amputee Stumble Detection through Machine-Learning Classification: Initial Exploration with Three Subjects.
Objective: To train a machine-learning (ML) algorithm to classify stumbling in transfemoral amputee gait. Methods: Three subjects completed gait trials in which they were induced to stumble via three different means. Several iterations of ML algorithms were developed to ultimately classify whether i...
| Publicado en: | Prosthesis (2673-1592) Vol. 6; no. 2; pp. 235 - 251 |
|---|---|
| Autores principales: | , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
MDPI
Apr2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |