Sensors-based wearable systems for monitoring of human movement and falls

IEEE Sensors Journal

Volumn 12, Issue 3, 2012, Pages 658-670

  Shany, Tal ^a   Redmond, Stephen J ^a   Narayanan, Michael R ^a   Lovell, Nigel H ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Energy expenditure; falls detection; falls risk assessment; movement monitoring; wearable sensors

Indexed keywords

ANALYSIS PROCESS; BODY-FIXED SENSORS; CHRONIC ILLNESS; CLINICAL APPLICATION; DEMOGRAPHIC TRENDS; ENERGY EXPENDITURE; HUMAN MOVEMENTS; PHYSICAL ACTIVITY; RAPID AGING; SENSOR TECHNOLOGIES; TECHNOLOGICAL ADVANCES; TELEHEALTH; UNOBTRUSIVE MONITORING; WEARABLE DEVICES; WEARABLE SENSORS; WEARABLE SYSTEMS;

HEALTH CARE; MEDICAL COMPUTING; RISK ASSESSMENT; WEARABLE COMPUTERS;

SENSORS;

EID: 84856846340     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2011.2146246     Document Type: Article

References (62)

1. World Health Organization, [Online]. Available: http://www.who.int/ topics/en/
2. S. R. Lord, C. Sherrington, and H. B. Menz, Falls in Older People: Risk Factors and Strategies for Prevention. Cambridge, U.K.: Cambridge Univ. Press, 2001.
3. B. G. Celler, N. H. Lovell, and D. Chan, "The potential impact of home telecare on clinical practice," Med. J. Australia, vol. 171, pp. 518-521, 1999.
4. P. van de Ven, A. Bourke, C. Tavares, R. Feld, J. Nelson, A. Rocha, and G. O. Laighin, "Integration of a suite of sensors in a wireless health sensor platform," in Prof. IEEE Sensors Conf., 2009, pp. 1678-1683.
5. M. Chan, E. Campo, D. Estève, and J.-Y. Fourniols, "Smart homes-Current features and future perspectives," Maturitas, vol. 64, pp. 90-97, 2009.
6. A. Godfrey, R. Conway, D. Meagher, and G. ÓLaighin, "Direct measurement of human movement by accelerometry," Med. Eng. Phys., vol. 30, pp. 1364-1386, 2008.
7. P. Bonato, "Wearable sensors/systems and their impact on biomedical engineering," IEEE Eng. Med. Biol. Mag., vol. 22, pp. 18-20, 2003. (Pubitemid 37328160)
8. S. L. Murphy, "Review of physical activity measurement using accelerometers in older adults: Considerations for research design and conduct," Preventive Med., vol. 48, pp. 108-114, 2009.
9. S. J. Preece, J. Y. Goulermas, L. P. J. Kenney, D. Howard, K. Meijer, and R. Crompton, "Activity identification using body-mounted sensors-a review of classification techniques," Physiol. Meas., vol. 30, pp. R1-R33, 2009.
10. M. J. Mathie, A. C. F. Coster, N. H. Lovell, and B. G. Celler, "Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement," Physiol. Meas., vol. 25, pp. R1-R20, 2004. (Pubitemid 38568927)
11. M. J. Mathie, A. C. F. Coster, N. H. Lovell, B. G. Celler, S. R. Lord, and A. Tiedemann, "A pilot study of long-term monitoring of human movements in the home using accelerometry," J. Telemed. Telecare, vol. 10, pp. 144-151, 2004. (Pubitemid 38901253)
12. W. Zijlstra and K. Aminian, "Mobility assessment in older people: New possibilities and challenges," Eur. J. Ageing, vol. 4, pp. 3-12, 2007. (Pubitemid 46370411)
13. F. Bianchi, S. J. Redmond, M. R. Narayanan, S. Cerutti, and N. H. Lovell, "Barometric pressure and triaxial accelerometry-based falls event detection," IEEE Trans. Neural Syst. Rehab. Eng., vol. 18, pp. 619-627, 2010.
14. W. Zijlstra, R. W. Bisseling, S. Schlumbohm, and H. Baldus, "A bodyfixed-sensor-based analysis of power during sit-to-stand movements," Gait Posture, vol. 31, pp. 272-278, 2010.
15. D. M. Karantonis, M. R. Narayanan, M. J. Mathie, N. H. Lovell, and B. G. Celler, "Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring," IEEE Trans. Inform. Technol. Biomed., vol. 10, pp. 156-167, 2006. (Pubitemid 43092328)
16. M. Kangas, A. Konttila, P. Lindgren, I.Winblad, and T. Jämsä, "Comparison of low-complexity fall detection algorithms for body attached accelerometers," Gait Posture, vol. 28, pp. 285-291, 2008. (Pubitemid 351902256)
17. J. B. J. Bussmann, P. H. Veltink, F. Koelma, R. C. van Lummel, and H. J. Stam, "Ambulatory monitoring of mobility-related activities: The initial phase of the development of an activity monitor," Eur. J. Phys. Rehab. Med., vol. 5, pp. 2-7, 1995.
18. K. Aminian, P. Robert, E. E. Buchser, B. Rutschmann, D. Hayoz, and M. Depairon, "Physical activity monitoring based on accelerometry: Validation and comparison with video observation," Med. Biol. Eng. Comput., vol. 37, pp. 304-308, 1999. (Pubitemid 29265291)
19. B. Najafi, K. Aminian, F. Loew, Y. Blanc, and P. A. Robert, "Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly," IEEE Trans. Biomed. Eng., vol. 49, pp. 843-851, 2002. (Pubitemid 34787574)
20. M. J. Mathie, A. C. F. Coster,N.H. Lovell, and B. G. Celler, "Detection of daily physical activities using a triaxial accelerometer," Med. Biol. Eng. Comput., vol. 41, pp. 296-301, 2003. (Pubitemid 36705483)
21. B. Najafi, K. Aminian, A. Paraschiv-Ionescu, F. Loew, C. J. Büla, and P. Robert, "Ambulatory system for human motion analysis using a kinematic sensor: Monitoring of daily physical activity in the elderly," IEEE Trans. Biomed. Eng., vol. 50, pp. 711-723, 2003. (Pubitemid 36723605)
22. K. Aminian, B. Najafi, C. Büla, P.-F. Leyvraz, and P. Robert, "Spatiotemporal parameters of gait measured by an ambulatory system using miniature gyroscopes," J. Biomech., vol. 35, pp. 689-699, 2002. (Pubitemid 34292514)
23. R. Moe-Nilssen and J. L. Helbostad, "Estimation of gait cycle characteristics by trunk accelerometry," J. Biomech., vol. 37, pp. 121-126, 2004. (Pubitemid 37532635)
24. W. Zijlstra, "Assessment of spatio-temporal parameters during unconstrained walking," Eur. J. Appl. Physiol., vol. 92, pp. 39-44, 2004. (Pubitemid 38885858)
25. J. J. Kavanagh and H. B. Menz, "Accelerometry: A technique for quantifying movement patterns during walking," Gait Posture, vol. 28, pp. 1-15, 2008. (Pubitemid 351718364)
26. R. E. Mayagoitia, A. V. Nene, and P. H. Veltink, "Accelerometer and rate gyroscope measurement of kinematics: An inexpensive alternative to optical motion analysis systems," J. Biomech., vol. 35, pp. 537-542, 2002. (Pubitemid 34273648)
27. K. Aminian, P. Robert, E. Jequier, and Y. Schutz, "Estimation of speed and incline of walking using neural network," IEEE Trans. Instrum. Meas., vol. 44, pp. 743-746, 1995.
28. N. Wang, E. Ambikairajah, S. J. Redmond, B. G. Celler, and N. H. Lovell, "Classification of walking patterns on inclined surfaces from accelerometry data," in Proc. 16th Int. Conf. Digital Signal Process., 2009, pp. 357-360.
29. R. E. Mayagoitia, J. C. Lotters, P. H. Veltink, and H. Hermens, "Standing balance evaluation using a triaxial accelerometer," Gait Posture, vol. 16, pp. 55-59, 2002. (Pubitemid 34786358)
30. A. Tiedemann, H. Shimada, C. Sherrington, S. Murray, and S. Lord, "The comparative ability of eight functional mobility tests for predicting falls in community-dwelling older people," Age and Ageing, vol. 37, pp. 430-435, 2008. (Pubitemid 351965888)
31. M. Marschollek, G. Nemitz, M. Gietzelt, K. H. Wolf, H. M. zu Schwabedissen, and R. Haux, "Predicting in-patient falls in a geriatric clinic A clinical study combining assessment data and simple sensory gait measurements," Zeitschrift Fur Gerontologie Und Geriatrie, vol. 42, pp. 317-321, 2009.
32. M. E. Tinetti, "Performance-oriented assessment of mobility problems in elderly patients," J. Amer. Geriatric Soc., vol. 34, pp. 119-126, 1986. (Pubitemid 16159911)
33. A. K. Bourke, P. W. J. van de Ven, A. E. Chaya, G. M. Olaighin, and J. Nelson, "Testing of a long-term fall detection system incorporated into a custom vest for the elderly," in Proc. 30th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2008, pp. 2844-2847.
34. N. Noury, P. Barralon, G. Virone, P. Boissy,M. Hamel, and P. Rumeau, "A smart sensor based on rules and its evaluation in daily routines," in Proc. IEEE 25th Annu. Int. Conf. Eng. Med. Biol. Soc., 2003, pp. 3286-3289.
35. K. Doughty, R. Lewis, and A. McIntosh, "The design of a practical and reliable fall detector for community and institutional telecare," J. Telemed. Telecare, vol. 6, pp. 150-154, 2000.
36. A. K. Bourke, P. van de Ven, M. Gamble, R. O'Connor, K. Murphy, E. Bogan, E. McQuade, P. Finucane, G. O'Laighin, and J. Nelson, "Evaluation of waist-mounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activities," J. Biomech., vol. 43, pp. 3051-3057, 2010.
37. A. K. Bourke, K. J. O'Donovan, and G. ÓLaighin, "The identification of vertical velocity profiles using an inertial sensor to investigate preimpact detection of falls," Med. Eng. Phys., vol. 30, pp. 937-946, 2008.
38. T. Tamura, T. Yoshimura, M. Sekine, M. Uchida, and O. Tanaka, "The identification of vertical velocity profiles using an inertial sensor to investigate pre-impact detection of falls," IEEE Trans. Inform. Technol. Biomed., vol. 13, pp. 910-914, 2009.
39. S. Lehtola, P. Koistinen, and H. Luukinen, "Falls and injurious falls late in home-dwelling life," Archives of Gerontology and Geriatrics, vol. 42, pp. 217-224, 2006. (Pubitemid 41797276)
40. U. Lindemann, A. Hock, M. Stuber, W. Keck, and C. Becker, "Evaluation of a fall detector based on accelerometers: A pilot study," Med. Biol. Eng. Comput., vol. 43, pp. 548-551, 2005. (Pubitemid 41824338)
41. Y.-D. Lee and W.-Y. Chung, "Wireless sensor network based wearable smart shirt for ubiquitous health and activity monitoring," Sens. Actuators B: Chem., vol. 140, pp. 390-395, 2009.
42. J. Klenk, C. Becker, F. Lieken, S. Nicolai, W. Maetzler, W. Alt, W. Zijlstra, J. M. Hausdorff, R. C. van Lummel, L. Chiari, and U. Lindemann, "Comparison of acceleration signals of simulated and real-world backward falls," Med. Eng. Phys., vol. 33, pp. 368-373, 2011.
43. N. Noury, A. Fleury, P. Rumeau, A. K. Bourke, G. O. Laighin, V. Rialle, and J. E. Lundy, "Fall detection-Principles and methods," in Proc. 29th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2007, pp. 1663-1666.
44. K. L. Perell, A. Nelson, R. L. Goldman, S. L. Luther, N. Prieto-Lewis, and L. Z. Rubenstein, "Fall risk assessment measures: An analytic review," J. Gerontology Series A: Biol. Sci. Med. Sci., vol. 56, pp. M761-M766, 2001. (Pubitemid 33108183)
45. M. E. Tinetti, T. F.Williams, and R. Mayewski, "Fall risk index for elderly patients based on number of chronic disabilities," Amer. J. Med., vol. 80, pp. 429-434, 1986. (Pubitemid 16098779)
46. C. Y. Cho and G. Kamen, "Detecting balance deficits in frequent fallers using clinical and quantitative evaluation tools," J. Amer. Geriatrics Soc., vol. 46, pp. 426-430, 1998. (Pubitemid 28188514)
47. E. D. de Bruin, B. Najafi, K. Murer, D. Uebelhart, and K. Aminian, "Quantification of everyday motor function in a geriatric population," J. Rehab. Res. Develop., vol. 44, pp. 417-428, 2007. (Pubitemid 47075813)
48. D. Giansanti, V. Macellari, and G. Maccioni, "New neural network classifier of fall-risk based on the Mahalanobis distance and kinematic parameters assessed by a wearable device," Physiol. Meas., vol. 29, pp. N11-N19, 2008. (Pubitemid 351423051)
49. J. H. J. Allum and M. G. Carpenter, "A speedy solution for balance and gait analysis: Angular velocity measured at the centre of body mass," Current Opinion in Neurology, vol. 18, pp. 15-21, 2005. (Pubitemid 40270260)
50. S. R. Lord, H. B. Menz, and A. Tiedemann, "A physiological profile approach to falls risk assessment and prevention," Phys. Therapy, vol. 83, pp. 237-252, 2003. (Pubitemid 36348983)
51. H. B. Menz, S. R. Lord, and R. C. Fitzpatrick, "Acceleration patterns of the head and pelvis when walking are associated with risk of falling in community-dwelling older people," J. Gerontology Series A: Biol. Sci. Med. Sci., vol. 58, pp. M446-M452, 2003.
52. M. R. Narayanan, S. J. Redmond, M. E. Scalzi, S. R. Lord, B. G. Celler, and N. H. Lovell, "Longitudinal falls-risk estimation using triaxial accelerometry," IEEE Trans. Biomed. Eng., vol. 57, pp. 534-541, 2010.
53. S. J. Redmond, M. E. Scalzi, M. R. Narayanan, S. R. Lord, S. Cerutti, and N. H. Lovell, "Automatic segmentation of triaxial accelerometry signals for falls risk estimation," in Proc. 32nd Annu. Conf. IEEE Eng. Med. Biol. Soc., Buenos Aires, Argentina, 2010, pp. 2234-7.
54. B. R. Greene, A. O. Donovan, R. Romero-Ortuno, L. Cogan, C. Ni Scanaill, and R. A. Kenny, "Quantitative falls risk assessment using the timed up and go test," IEEE Trans. Biomed. Eng., vol. 57, pp. 2918-2926, 2010.
55. A. Weiss, I. Shimkin, N. Giladi, and J. Hausdorff, "Automated detection of near falls: Algorithm development and preliminary results," BMC Research Notes, vol. 3, p. 62, 2010.
56. C. V. C. Bouten, K. T. M. Koekkoek, M. Verduin, R. Kodde, and J. D. Janssen, "A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity," IEEE Trans. Biomed. Eng., vol. 44, pp. 136-147, 1997. (Pubitemid 27084199)
57. G. Bonomi, A. H. C. Goris, B. Yin, and K. R. Westerterp, "Detection of type, duration, and intensity of physical activity using an accelerometer," Med. Sci. Sports and Exercise, vol. 41, pp. 1770-1777, 2009.
58. P. Terrier, K. Aminian, and Y. Schutz, "Can accelerometry accurately predict the energy cost of uphill/downhill walking?," Ergonomics, vol. 44, pp. 48-62, 2001. (Pubitemid 32058487)
59. Y. Ohtaki, M. Susumago, A. Suzuki, K. Sagawa, R. Nagatomi, and H. Innoka, "Automatic classification of ambulatory movements and evaluation of energy consumptions utilizing accelerometers and a barometer," Microsyst. Technolog., vol. 11, pp. 1034-1040, 2005. (Pubitemid 41423412)
60. M.Voleno, S. J. Redmond, S. Cerutti, and N. H. Lovell, "Energy expenditure estimation using triaxial accelerometry and barometric pressure measurement," in Proc. IEEE 32nd Annu. Conf. IEEE Eng. Med. Biol. Soc., 2010, pp. 5185-8.
61. H. J. Montoye, T. Ayen, F. Nagle, and E. T. Howley, "The oxygen required for horizontal and grade walking on a motor-driven treadmill," Med. Sci. Sports & Exercise, vol. 17, pp. 640-645, 1985. (Pubitemid 16209431)
62. K. Delbaere, J. C. T. Close, H. Brodaty, P. Sachdev, and S. R. Lord, "Determinants of disparities between perceived and physiological risk of falling among elderly people: Cohort study," BMJ, vol. 341: c4165, 2010.