Predicting Knee Joint Kinematics from Wearable Sensor Data in People with Knee Osteoarthritis and Clinical Considerations for Future Machine Learning Models

Deep learning models developed to predict knee joint kinematics are usually trained on inertial measurement unit (IMU) data from healthy people and only for the activity of walking. Yet, people with knee osteoarthritis have difficulties with other activities and there are a lack of studies using IMU...

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Detalles Bibliográficos
Autores principales: Tan, Jay-Shian, Tippaya, Sawitchaya, Binnie, Tara, Davey, Paul, Napier, Kathryn, Caneiro, J. P., Kent, Peter, Smith, Anne, O’Sullivan, Peter, Campbell, Amity
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781640/
https://www.ncbi.nlm.nih.gov/pubmed/35062408
http://dx.doi.org/10.3390/s22020446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781640/
https://www.ncbi.nlm.nih.gov/pubmed/35062408
http://dx.doi.org/10.3390/s22020446

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