Robinovitch S - Search Results

1

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. Among authors: robinovitch s. Z Gerontol Geriatr. 2013 Dec;46(8):720-6. doi: 10.1007/s00391-013-0554-0. Z Gerontol Geriatr. 2013. PMID: 24271252

2

An analysis of the accuracy of wearable sensors for classifying the causes of falls in humans.

Aziz O, Robinovitch SN. Aziz O, et al. IEEE Trans Neural Syst Rehabil Eng. 2011 Dec;19(6):670-6. doi: 10.1109/TNSRE.2011.2162250. Epub 2011 Aug 22. IEEE Trans Neural Syst Rehabil Eng. 2011. PMID: 21859608 Free PMC article.

3

Proposal for a multiphase fall model based on real-world fall recordings with body-fixed sensors.

Becker C, Schwickert L, Mellone S, Bagalà F, Chiari L, Helbostad JL, Zijlstra W, Aminian K, Bourke A, Todd C, Bandinelli S, Kerse N, Klenk J; FARSEEING Consortium; FARSEEING Meta Database Consensus Group. Becker C, et al. Z Gerontol Geriatr. 2012 Dec;45(8):707-15. doi: 10.1007/s00391-012-0403-6. Z Gerontol Geriatr. 2012. PMID: 23184296 Review.

4

Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines.

Aziz O, Park EJ, Mori G, Robinovitch SN. Aziz O, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5837-40. doi: 10.1109/EMBC.2012.6347321. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23367256

5

Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers.

Aziz O, Park EJ, Mori G, Robinovitch SN. Aziz O, et al. Gait Posture. 2014;39(1):506-12. doi: 10.1016/j.gaitpost.2013.08.034. Epub 2013 Sep 23. Gait Posture. 2014. PMID: 24148648

6

Fall detection with body-worn sensors : a systematic review.

Schwickert L, Becker C, Lindemann U, Maréchal C, Bourke A, Chiari L, Helbostad JL, Zijlstra W, Aminian K, Todd C, Bandinelli S, Klenk J; FARSEEING Consortium and the FARSEEING Meta Database Consensus Group. Schwickert L, et al. Z Gerontol Geriatr. 2013 Dec;46(8):706-19. doi: 10.1007/s00391-013-0559-8. Z Gerontol Geriatr. 2013. PMID: 24271251 Review.

7

Predictors of serious consequences of falls in residential aged care: analysis of more than 70,000 falls from residents of Bavarian nursing homes.

Büchele G, Becker C, Cameron ID, König HH, Robinovitch S, Rapp K. Büchele G, et al. Among authors: robinovitch s. J Am Med Dir Assoc. 2014 Aug;15(8):559-63. doi: 10.1016/j.jamda.2014.03.015. Epub 2014 May 11. J Am Med Dir Assoc. 2014. PMID: 24825170

8

Using video capture to investigate the causes of falls in long-term care.

Woolrych R, Zecevic A, Sixsmith A, Sims-Gould J, Feldman F, Chaudhury H, Symes B, Robinovitch SN. Woolrych R, et al. Gerontologist. 2015 Jun;55(3):483-94. doi: 10.1093/geront/gnu053. Epub 2014 Jul 5. Gerontologist. 2015. PMID: 24997594

9

The effect of window size and lead time on pre-impact fall detection accuracy using support vector machine analysis of waist mounted inertial sensor data.

Aziz O, Russell CM, Park EJ, Robinovitch SN. Aziz O, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:30-3. doi: 10.1109/EMBC.2014.6943521. Annu Int Conf IEEE Eng Med Biol Soc. 2014. PMID: 25569889

10

A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials.

Aziz O, Musngi M, Park EJ, Mori G, Robinovitch SN. Aziz O, et al. Med Biol Eng Comput. 2017 Jan;55(1):45-55. doi: 10.1007/s11517-016-1504-y. Epub 2016 Apr 22. Med Biol Eng Comput. 2017. PMID: 27106749

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