User-based motion sensing and fuzzy logic for automated fall detection in older adults

Telemedicine and e-Health

Volumn 13, Issue 6, 2007, Pages 683-693

  Boissy, Patrick ^a,b   Choquette, Stéphane ^a,b   Hamel, Mathieu ^a   Noury, Norbert ^a,c  

^a UNIVERSITY INSTITUTE OF GERIATRICS OF SHERBROOKE   (Canada)

^b UNIVERSITÉ DE SHERBROOKE   (Canada)

^c LABORATOIRE TIMC IMAG   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; ALGORITHMS; FUZZY LOGIC; MOTION ESTIMATION; USER INTERFACES;

AUTOMATED FALL DETECTION; MOTION SENSING; OLDER ADULTS;

PATIENT MONITORING;

ADULT; ARTICLE; AUTOMATION; DAILY LIFE ACTIVITY; FALLING; FALSE POSITIVE RESULT; FEMALE; FUZZY LOGIC; FUZZY SYSTEM; HUMAN; LABORATORY TEST; MALE; PRIORITY JOURNAL; SENSOR; SIMULATION; THREE DIMENSIONAL IMAGING; TRUNK;

ACCIDENTAL FALLS; ACTIVITIES OF DAILY LIVING; AGED; FALSE POSITIVE REACTIONS; FUZZY LOGIC; HUMANS; TELEMEDICINE;

EID: 38349101891     PISSN: 15305627     EISSN: None     Source Type: Journal    
DOI: 10.1089/tmj.2007.0007     Document Type: Article

References (39)

1. Rubenstein LZ, Josephson KR. The epidemiology of falls and syncope. Clin Geriatr Med 2002;18:141-158.
2. Thapa PB, Brockman KG, Gideon P, Fought RL, Ray WA. Injurious falls in nonambulatory nursing home residents: A comparative study of circumstances, incidence, and risk factors. J Am Geriatr Soc 1996;44:273-278.
3. Gurley RJ, Lum N, Sande M, Lo B, Katz MH. Persons found in their homes helpless or dead. N Engl J Med 1996;334:1710-1716.
4. Nevitt MC, Cummings SR, Hudes ES. Risk factors for injurious falls: A prospective study. J Gerontol 1991;46:M164-M170.
5. Howland J, Lachman ME, Peterson EW, Cote J, Kasten L, Jette A. Covariates of fear of falling and associated activity curtailment. Gerontologist 1998;38:549-555.
6. Arfken CL, Lach HW, Birge SJ, Miller JP. The prevalence and correlates of fear of falling in elderly persons living in the community. Am J Public Health 1994;84:565-570.
7. Howland J, Peterson EW, Levin WC, Fried L, Pordon D, Bak S. Fear of falling among the community-dwelling elderly. J Aging Health 1993;5:229-243.
8. Tinetti ME, Mendes de Leon CF, Doucette JT, Baker DI. Fear of falling and fall-related efficacy in relationship to functioning among community-living elders. J Gerontol 1994;49:M140-M147.
9. Tinetti ME, Powell L. Fear of falling and low self-efficacy: A case of dependence in elderly persons. J Gerontol 1993;48(spec no.):35-38.
10. Vellas BJ, Wayne SJ, Romero LJ, Baumgartner RN, Garry PJ. Fear of falling and restriction of mobility in elderly fallers. Age Ageing 1997;26:189-193.
11. Maki B, Holliday P, Topper A. Fear of falling and postural performance in the elderly. J Gerontol 1991;46:M123-M131.
12. Tinetti ME, Williams CS. The effect of falls and fall injuries on functioning in community-dwelling older persons. J Gerontol Ser A Biol Sci Med Sci 1998;53:M112-M119.
13. Roush RE, Teasdale TA, Murphy JN, Kirk MS. Impact of a personal emergency response system on hospital utilization by community-residing elders. South Med J 1995;88:917-922.
14. Dibner A. Personal response systems: An international report of a new home care service. Binghamton, NY: Haworth, Press, 1992:1-249.
15. Porter DJ. Moments of apprehension in the midst of a certainty: Some frail older widows' lives with a personal emergency response system. Qual Health Res 2003;13:1311-1323.
16. Porter EJ, Ganong LH. Considering the use of a personal emergency response system: an experience of frail, older women. Care Manag J 2002;3:192-198.
17. Doughty K, Lewis R, McIntosh A. The design of a practical and reliable fall detector for community and institutional telecare. J Telemed Telecare 200;6(suppl 1):S150-S154.
18. Brownsell SJ, Bradley DA, Bragg R, Catlin P, Carlier J. Do community alarm users want telecare? J Telemed Telecare 2000;6:199-204.
19. Lee T, Mihailidis A. An intelligent emergency response system: Preliminary development and testing of automated fall detection. J Telemed Telecare 2005;11:194-198.
20. Sixsmith A, Johnson N. A smart sensor to detect the falls of the elderly. Ieee Pervasive Computing 2004;3:42-47.
21. Sixsmith A, Johnson N, Whatmore R. Pyroelectric IR sensor arrays for fall detection in the older population. J Physique Iv 2005;128:153- 160.
22. Bourke AK, Lyons GM. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. Med Eng Phys 2007;Jan 10.
23. Bourke AK, O'Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait Posture 2007;26:194-199.
24. Brown G. An accelerometer based fall detector: Development, experimentation, and analysis. Project report. www.eecs.berkeley.edu/~eklund/ projects/Reports/GarrettFinalPaper.pdf
25. Degen T, Heinz J, Rufer M, Wyss S. Speedy. A fall detector in a wrist watch. In: Proceedings of 7th IEEE International symposium on wearable computers. 2003:184-187.
26. Lindemann U, Hock A, Stuber M, Keck W, Becker C. Evaluation of a fall detector based on accelerometers: A pilot study. Med Biol Eng Comput 2005;43:548-551.
27. Noury N, Barralon P, Virone G, Rumeau P, Boissy P. Un capteur intelligent pour détecter la chute: Fusion multi-capteurs et décision à base de règles [Intelligent fall sensor using multi sensor inputs and rule based system]. In: Placko D, Orteu JJ, Le Poutre F, Eds. Nouvelles méthodes d'instrumentation, [New methods of instrumentation]. Paris: Hermès-Elsevier, 2004:411-418.
28. Boonstra MC, van der Slikke RM, Keijsers NL, van Lummel RC, de Waal Malefijt MC, Verdonschot N. The accuracy of measuring the kinematics of rising from a chair with accelerometers and gyroscopes. J Biomech 2006;39:354-358.
29. Luinge HJ, Veltink PH. Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Med Biol Eng Comput 2005;43:273-282.
30. Brownsell S, Hawley MS. Automatic fall detectors and the fear of falling. J Telemed Telecare 2004;10:262-266.
31. Engstrom M, Ljunggren B, Lindqvist R, Carlsson M. Staff perceptions of job satisfaction and life situation before and 6 and 12 months after increased information technology support in dementia care. J Telemed Telecare 2005;11:304-309.
32. Bonato P. Advances in wearable technology and applications in physical medicine and rehabilitation. J Neuroeng Rehabil. 2005;2:2.
33. Jovanov E, Milenkovic A, Otto C, de Groen PC. A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. J Neuroeng Rehabil 2005;2:6.
34. Lukowicz P, Kirstein T, Troster G. Wearable systems for health care applications. Methods Inf Med 2004;43:232-238.
35. Hamel M, Boissy P, Fontaine R. Monitoring vital signs and activity levels using a wireless network of smart sensors. In: Proceedings of the International conference on aging, disability and independence (ICADI). Gainesville, FL: University of Florida, Rehabilitation Engineering Research Center for Successful Aging, 2007:298-299.
36. Cummings SR, Nevitt MC, Kidd S. Forgetting falls. The limited accuracy of recall of falls in the elderly." J Am Geriatr Soc 1988;36:613-616.
37. Hogue C. Managing falls: The current bases for practice. In: Key aspects of elder care. Managing falls, incontinence, and cognitive impairment. New York: Springer, 1992:41-57.
38. Hill-Westmoreland EE, Gruber-Baldini AL. Falls documentation in nursing homes: agreement between the minimum data set and chart abstractions of medical and nursing documentation. J Am Geriatr Soc 2005;53:268-273.
39. Kanten DN, Mulrow CD, Gerety MB, Lichtenstein MJ, Aguilar C, Cornell JE. Falls. An examination of three reporting methods in nursing homes. J Am Geriatr Soc 1993;41:662-666.