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Year | Number of Results |
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2013 | 2 |
2022 | 1 |
2025 | 0 |
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Page 1
Fall detection with body-worn sensors : a systematic review.
Z Gerontol Geriatr. 2013 Dec;46(8):706-19. doi: 10.1007/s00391-013-0559-8.
Z Gerontol Geriatr. 2013.
PMID: 24271251
Review.
Efficacy of a multiple-component and multifactorial personalized fall prevention program in a mixed population of community-dwelling older adults with stroke, Parkinson's Disease, or frailty compared to usual care: The PRE.C.I.S.A. randomized controlled trial.
La Porta F, Lullini G, Caselli S, Valzania F, Mussi C, Tedeschi C, Pioli G, Bondavalli M, Bertolotti M, Banchelli F, D'Amico R, Vicini R, Puglisi S, Clerici PV, Chiari L; PRECISA Group.
La Porta F, et al.
Front Neurol. 2022 Sep 1;13:943918. doi: 10.3389/fneur.2022.943918. eCollection 2022.
Front Neurol. 2022.
PMID: 36119666
Free PMC article.
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Development of a standard fall data format for signals from body-worn sensors : the FARSEEING consensus.
Klenk J, Chiari L, Helbostad JL, Zijlstra W, Aminian K, Todd C, Bandinelli S, Kerse N, Schwickert L, Mellone S, Bagalá F, Delbaere K, Hauer K, Redmond SJ, Robinovitch S, Aziz O, Schwenk M, Zecevic A, Zieschang T, Becker C; FARSEEING Consortium and the FARSEEING Meta-Database Consensus Group.
Klenk J, et al.
Z Gerontol Geriatr. 2013 Dec;46(8):720-6. doi: 10.1007/s00391-013-0554-0.
Z Gerontol Geriatr. 2013.
PMID: 24271252
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