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Page 1
Analysis of Public Datasets for Wearable Fall Detection Systems.
Sensors (Basel). 2017 Jun 27;17(7):1513. doi: 10.3390/s17071513.
Sensors (Basel). 2017.
PMID: 28653991
Free PMC article.
Review.
A Study of One-Class Classification Algorithms for Wearable Fall Sensors.
Santoyo-Ramón JA, Casilari E, Cano-García JM.
Santoyo-Ramón JA, et al. Among authors: cano garcia jm.
Biosensors (Basel). 2021 Aug 19;11(8):284. doi: 10.3390/bios11080284.
Biosensors (Basel). 2021.
PMID: 34436087
Free PMC article.
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A study on the impact of the users' characteristics on the performance of wearable fall detection systems.
Santoyo-Ramón JA, Casilari-Pérez E, Cano-García JM.
Santoyo-Ramón JA, et al. Among authors: cano garcia jm.
Sci Rep. 2021 Nov 26;11(1):23011. doi: 10.1038/s41598-021-02537-z.
Sci Rep. 2021.
PMID: 34836975
Free PMC article.
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Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection with Supervised Learning.
Santoyo-Ramón JA, Casilari E, Cano-García JM.
Santoyo-Ramón JA, et al. Among authors: cano garcia jm.
Sensors (Basel). 2018 Apr 10;18(4):1155. doi: 10.3390/s18041155.
Sensors (Basel). 2018.
PMID: 29642638
Free PMC article.
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Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection.
Casilari E, Santoyo-Ramón JA, Cano-García JM.
Casilari E, et al. Among authors: cano garcia jm.
PLoS One. 2016 Dec 8;11(12):e0168069. doi: 10.1371/journal.pone.0168069. eCollection 2016.
PLoS One. 2016.
PMID: 27930736
Free PMC article.
Clinical Trial.
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