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Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep Learning
Falls are a significant threat to the health and independence of elderly people and represent an enormous burden on the healthcare system. Successfully predicting falls could be of great help, yet this requires a timely and accurate fall risk assessment. Gait abnormalities are one of the best predic...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Sensors (Basel) |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7571106/ https://ncbi.nlm.nih.gov/pubmed/32961750 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185373 |
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