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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Sensors (Basel) |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6928851/ https://ncbi.nlm.nih.gov/pubmed/31795151 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19235227 |
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