Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques

Wearable sensors have the potential to enable comprehensive patient characterization and optimized clinical intervention. Critical to realizing this vision is accurate estimation of biomechanical time-series in daily-life, including joint, segment, and muscle kinetics and kinematics, from wearable s...

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Detalles Bibliográficos
Autores principales: Gurchiek, Reed D., Cheney, Nick, McGinnis, Ryan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928851/
https://www.ncbi.nlm.nih.gov/pubmed/31795151
http://dx.doi.org/10.3390/s19235227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928851/
https://www.ncbi.nlm.nih.gov/pubmed/31795151
http://dx.doi.org/10.3390/s19235227

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