Comparison of Decision Tree and Long Short-Term Memory Approaches for Automated Foot Strike Detection in Lower Extremity Amputee Populations

Foot strike detection is important when evaluating a person’s gait characteristics. Accelerometer and gyroscope signals from smartphones have been used to train artificial intelligence (AI) models for automated foot strike detection in able-bodied and elderly populations. However, there is limited r...

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Detalles Bibliográficos
Autores principales: Juneau, Pascale, Baddour, Natalie, Burger, Helena, Bavec, Andrej, Lemaire, Edward D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587033/
https://www.ncbi.nlm.nih.gov/pubmed/34770281
http://dx.doi.org/10.3390/s21216974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587033/
https://www.ncbi.nlm.nih.gov/pubmed/34770281
http://dx.doi.org/10.3390/s21216974

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