These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

107 related articles for article (PubMed ID: 25570999)

  • 1. Validation of an accelerometer-based fall prediction model.
    Liu Y; Redmond SJ; Shany T; Woolgar J; Narayanan MR; Lord SR; Lovell NH
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():4531-4. PubMed ID: 25570999
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification between non-multiple fallers and multiple fallers using a triaxial accelerometry-based system.
    Liu Y; Redmond SJ; Narayanan MR; Lovell NH
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():1499-502. PubMed ID: 22254604
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Better than counting seconds: Identifying fallers among healthy elderly using fusion of accelerometer features and dual-task Timed Up and Go.
    Ponti M; Bet P; Oliveira CL; Castro PC
    PLoS One; 2017; 12(4):e0175559. PubMed ID: 28448509
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis.
    Tulipani LJ; Meyer B; Larie D; Solomon AJ; McGinnis RS
    Gait Posture; 2020 Jul; 80():361-366. PubMed ID: 32615409
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Correlation of accelerometry with clinical balance tests in older fallers and non-fallers.
    O'Sullivan M; Blake C; Cunningham C; Boyle G; Finucane C
    Age Ageing; 2009 May; 38(3):308-13. PubMed ID: 19252205
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults.
    Cella A; De Luca A; Squeri V; Parodi S; Vallone F; Giorgeschi A; Senesi B; Zigoura E; Quispe Guerrero KL; Siri G; De Michieli L; Saglia J; Sanfilippo C; Pilotto A
    PLoS One; 2020; 15(6):e0234904. PubMed ID: 32584912
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comparison of different balance tests in the prediction of falls in older women with vertebral fractures: a cohort study.
    Morris R; Harwood RH; Baker R; Sahota O; Armstrong S; Masud T
    Age Ageing; 2007 Jan; 36(1):78-83. PubMed ID: 17264139
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Choice stepping reaction time test using exergame technology for fall risk assessment in older people.
    Ejupi A; Brodie M; Gschwind YJ; Schoene D; Lord S; Delbaere K
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6957-60. PubMed ID: 25571596
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prospective Fall-Risk Prediction Models for Older Adults Based on Wearable Sensors.
    Howcroft J; Kofman J; Lemaire ED
    IEEE Trans Neural Syst Rehabil Eng; 2017 Oct; 25(10):1812-1820. PubMed ID: 28358689
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An instrumented timed up and go: the added value of an accelerometer for identifying fall risk in idiopathic fallers.
    Weiss A; Herman T; Plotnik M; Brozgol M; Giladi N; Hausdorff JM
    Physiol Meas; 2011 Dec; 32(12):2003-18. PubMed ID: 22094550
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Difference scores between single-task and dual-task gait measures are better than clinical measures for detection of fall-risk in community-dwelling older adults.
    Commandeur D; Klimstra MD; MacDonald S; Inouye K; Cox M; Chan D; Hundza SR
    Gait Posture; 2018 Oct; 66():155-159. PubMed ID: 30195218
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Does the evaluation of gait quality during daily life provide insight into fall risk? A novel approach using 3-day accelerometer recordings.
    Weiss A; Brozgol M; Dorfman M; Herman T; Shema S; Giladi N; Hausdorff JM
    Neurorehabil Neural Repair; 2013 Oct; 27(8):742-52. PubMed ID: 23774124
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature selection for elderly faller classification based on wearable sensors.
    Howcroft J; Kofman J; Lemaire ED
    J Neuroeng Rehabil; 2017 May; 14(1):47. PubMed ID: 28558724
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A prospective study of laboratory and clinical measures of postural stability to predict community-dwelling fallers.
    Brauer SG; Burns YR; Galley P
    J Gerontol A Biol Sci Med Sci; 2000 Aug; 55(8):M469-76. PubMed ID: 10952371
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry.
    Nait Aicha A; Englebienne G; van Schooten KS; Pijnappels M; Kröse B
    Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29786659
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Feature extraction and selection for objective gait analysis and fall risk assessment by accelerometry.
    Caby B; Kieffer S; de Saint Hubert M; Cremer G; Macq B
    Biomed Eng Online; 2011 Jan; 10():1. PubMed ID: 21244718
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pro-Active Fall-Risk Management is Mandatory to Sustain in Hospital-Fall Prevention in Older Patients--Validation of the LUCAS Fall-Risk Screening in 2,337 Patients.
    Hoffmann VS; Neumann L; Golgert S; von Renteln-Kruse W
    J Nutr Health Aging; 2015 Dec; 19(10):1012-8. PubMed ID: 26624213
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A comparison of four functional tests in discriminating fallers from non-fallers in older people.
    Chiu AY; Au-Yeung SS; Lo SK
    Disabil Rehabil; 2003 Jan; 25(1):45-50. PubMed ID: 12554391
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The comparative ability of eight functional mobility tests for predicting falls in community-dwelling older people.
    Tiedemann A; Shimada H; Sherrington C; Murray S; Lord S
    Age Ageing; 2008 Jul; 37(4):430-5. PubMed ID: 18487264
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Falling in the elderly: Do statistical models matter for performance criteria of fall prediction? Results from two large population-based studies.
    Kabeshova A; Launay CP; Gromov VA; Fantino B; Levinoff EJ; Allali G; Beauchet O
    Eur J Intern Med; 2016 Jan; 27():48-56. PubMed ID: 26686927
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.