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

Gait and Posture

Volumn 39, Issue 1, 2014, Pages 506-512

  Aziz, Omar ^a   Park, Edward J ^a   Mori, Greg ^a   Robinovitch, Stephen N ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Accidental falls (prevention and control); Machine learning; Posture and balance; Wearable sensors (accelerometers)

Indexed keywords

ACCELERATION; ACCELEROMETER; ADULT; ARTICLE; BODY WEIGHT; DISCRIMINANT ANALYSIS; FAINTNESS; FALLING; FEMALE; HUMAN; MALE; MOTION ANALYSIS SYSTEM; NORMAL HUMAN; PRIORITY JOURNAL; SENSOR; SITTING; STANDING;

ACCIDENTAL FALLS (PREVENTION AND CONTROL); MACHINE LEARNING; POSTURE AND BALANCE; WEARABLE SENSORS (ACCELEROMETERS);

ACCELEROMETRY; ACCIDENTAL FALLS; ADULT; ALGORITHMS; FEMALE; HUMANS; MALE; POSTURE; YOUNG ADULT;

EID: 84888301160     PISSN: 09666362     EISSN: 18792219     Source Type: Journal    
DOI: 10.1016/j.gaitpost.2013.08.034     Document Type: Article

References (23)

1. Blake A.J., Morgan K., Bendall M.J., Dallosso H., Ebrahim S.B.J., Arie T.H.D., et al. Falls by elderly people at hime: prevalence and associated factors. Age and Ageing 1988, 17(6):365-372.
2. Day L. Falls in older people: risk factors and strategies for prevention. Injury Prevention 2003, 9(1):93-94.
3. Salvà A., Bolíbar I., Pera G., Arias C. Incidence and consequences of falls among elderly people living in the community. Medicina Clinica 2004, 122(5):172-176.
4. Tinetti M.E. Factors associated with serious injury during falls by ambulatory nursing home residents. Journal of the American Geriatrics Society 1987, 35(7):644-648.
5. Baker S.P., Harvet S.H. Fall injuries in the elderly. Clinics in Geriatric Medicine 1985, 1(3):501-512.
6. Cummings S.R., Nevitt M.C., Kidd S. Forgetting falls. The limited accuracy of recall of falls in the elderly. Journal of the American Geriatrics Society 1988, 36(7):613-616.
7. Wei T.S., Hu C.H., Wang S.H., Hwang K.L. Fall characteristics, functional mobility and bone mineral density as risk factors of hip fracture in the community-dwelling ambulatory elderly. Osteoporosis International 2001, 12(12).
8. Nurmi I., Sihvonen M., Kataja M., Lüthje P. Falls among institutionalized elderly-a prospective study in four institutions in Finland. Scandinavian Journal of Caring Sciences 1996, 10(4):212-220.
9. Wagner L.M., Capezuti E., Taylor J.A., Sattin R.W., Ouslander J.G. Impact of a falls menu-driven incident-reporting system on documentation and quality improvement in nursing homes. Gerontologist 2005, 45(6):835-842.
10. Cummings S.R., Nevitt M.C., Kidd S. Forgetting falls. The limited accuracy of recall of falls in the elderly. Journal of the American Geriatrics Society 1988, 36(7):613-616.
11. Feldman F., Robinovitch S.N. Reducing hip fracture risk during sideways falls: evidence in young adults of the protective effects of impact to the hands and stepping. Journal of Biomechanics 2007, 40(12):2612-2618.
12. Bourke A.K., O'Brien J.V., Lyons G.M. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait & Posture 2007, 26(2):194.
13. Chen J., Kwong K., Chang D., Luk J., Bajcsy R. Wearable sensors for reliable fall detection. 27th annual international conference of the Engineering in Medicine and Biology Society 2006.
14. Lindemann U., Hock A., Stuber M., Keck W., Becker C. Evaluation of a fall detector based on accelerometers: a pilot study. Medical and Biological Engineering and Computing 2005, 43(5):548.
15. Noury N., Barralon P., Virone G., Boissy P., Hamel M., Rumeau P. A smart sensor based on rules and its evaluation in daily routines. Engineering in Medicine and Biology Society 2003. Proceedings of the 25th Annual International Conference of the IEEE 2003.
16. Wu G. Distinguishing fall activities from normal activities by velocity characteristics. Journal of Biomechanics 2000, 33(11):1497-1500.
17. Aziz O., Robinovitch S.N. An analysis of the accuracy of wearable sensors for classifying the causes of falls in humans. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2011, 19(6):670-676.
18. Baudat G., Anouar F. Generalized discriminant analysis using a kernel approach. Neural Computation 2000, 12(10):2385-2404.
19. Muller K.-R., Mika S., Ratsch G., Tsuda K., Scholkopf B. An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks 2001, 12(2):181-201.
20. Way T.W., Sahiner B., Hadjiiski L.M., Chan H.P. Effect of finite sample size on feature selection and classification: a simulation study. Medical Physics 2010, 37(2):907-920.
21. Bagala F., Becker C., Cappello A., Chiari L., Aminian K., Hausdorff J.M., et al. Evaluation of accelerometer-based fall detection algorithms on real-world falls. PLOS ONE 2012, 7(5):e37062.
22. Klenk J., Becker C., Lieken F., Nicolai S., Maetzler W., Alt W., et al. Comparison of acceleration signals of simulated and real-world backward falls. Medical Engineering and Physics 2011, 33(3):368-373.
23. Robinovitch S.N., Feldman F., Yang Y., Schonnop R., Leung P.M., Sarraf T., et al. Video capture of the circumstances of falls in elderly people residing in long-term care: an observational study. Lancet 2013, 381(9860):47-54.