Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors

Quantitative assessments of patient movement quality in osteoarthritis (OA), specifically spatiotemporal gait parameters (STGPs), can provide in-depth insight into gait patterns, activity types, and changes in mobility after total knee arthroplasty (TKA). A study was conducted to benchmark the abili...

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Detalles Bibliográficos
Autores principales: Sharifi Renani, Mohsen, Myers, Casey A., Zandie, Rohola, Mahoor, Mohammad H., Davidson, Bradley S., Clary, Chadd W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582246/
https://www.ncbi.nlm.nih.gov/pubmed/32998329
http://dx.doi.org/10.3390/s20195553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582246/
https://www.ncbi.nlm.nih.gov/pubmed/32998329
http://dx.doi.org/10.3390/s20195553

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