Cargando…
The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review
Gait, balance, and coordination are important in the development of chronic disease, but the ability to accurately assess these in the daily lives of patients may be limited by traditional biased assessment tools. Wearable sensors offer the possibility of minimizing the main limitations of tradition...
Autores principales: | Jourdan, Théo, Debs, Noëlie, Frindel, Carole |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309920/ https://www.ncbi.nlm.nih.gov/pubmed/34300546 http://dx.doi.org/10.3390/s21144808 |
Ejemplares similares
-
Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review
por: Prasanth, Hari, et al.
Publicado: (2021) -
Impact of the reperfusion status for predicting the final stroke infarct using deep learning
por: Debs, Noëlie, et al.
Publicado: (2020) -
Wearable Sensors for the Monitoring of Maternal Health—A Systematic Review
por: Alim, Anika, et al.
Publicado: (2023) -
Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review
por: Weizman, Yehuda, et al.
Publicado: (2021) -
A dataset for wearable sensors validation in gait analysis
por: Pierleoni, Paola, et al.
Publicado: (2020)