Measurement of accelerometrybased gait parameters in people with and without dementia in the field a technical feasibility study

Methods of Information in Medicine

Volumn 52, Issue 4, 2013, Pages 319-325

  Gietzelt, Matthias ^a   Wolf, K H ^a   Kohlmann, M ^a   Marschollek, M ^a   Haux, R ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

Author keywords

Accelerometer; Dementia; Field study; Gait parameters

Indexed keywords

ACCELEROMETRY; AGED; ALZHEIMER DISEASE; ARTICLE; CLASSIFICATION; DEVICES; EQUIPMENT; EQUIPMENT DESIGN; FEASIBILITY STUDY; FEMALE; GAIT; GAIT APRAXIA; HUMAN; MALE; METHODOLOGY; PROCEDURES; REFERENCE VALUE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; VERY ELDERLY;

ACCELEROMETRY; AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; EQUIPMENT DESIGN; FEASIBILITY STUDIES; FEMALE; GAIT; GAIT APRAXIA; HUMANS; MALE; REFERENCE VALUES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

MLCS; MLOWN;

EID: 84881256962     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/ME12-02-0009     Document Type: Article

References (38)

1. Tinetti ME. Performance-oriented assessment of mobility problems in elderly patients. J Am Geriatr Soc 1986; 34 (2): 119-126.
2. Podsiadlo D, Richardson S. The Timed 'Up & Go': A test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 1991; 39 (6): 142-148.
3. Culhane KM, O'Connor M, Lyons D, Lyons GM. Accelerometers in rehabilitation medicine for older adults. Age Ageing 2005; 34 (6): 556-560.
4. Menz HB, Lord SR, Fitzpatrick RC. Acceleration patterns of the head and pelvis when walking are associated with risk of falling in communitydwelling older people. J Gerontol A Biol Sci Med Sci 2003; 58 (5): M446-452.
5. Moeslund TB, Hilton A, Krüger V. A survey of advances in vision-based human motion capture and analysis. Comput Vis Image Underst 2006; 104 (2): 90-126.
6. Wu W, Dasgupta S, Ramirez EE, Peterson C, Norman GJ. Classification accuracies of physical activities using smartphone motion sensors. J Med Internet Res 2012; 14 (5): e130.
7. Neyens JC, Dijcks BP, van Haastregt JC, de Witte LP, van den Heuvel WJ, Crebolder HF, Schols JM. The development of a multidisciplinary fall risk evaluation tool for demented nursing home patients in the Netherlands. BMC Public Health 2006; 21 (6): 74.
8. Chen X, Van Nguyen H, Shen Q, Chan DK. Characteristics associated with recurrent falls among the elderly within aged-care wards in a tertiary hospital: the effect of cognitive impairment. Arch Gerontol Geriatr 2011; 53 (2): 183-186.
9. Herrmann N, Lanctôt KL, Sambrook R, Lesnikova N, Hébert R, McCracken P, Robillard A, Nguyen E. The contribution of neuropsychiatric symptoms to the cost of dementia care. Int J Geriatr Psychiatry 2006; 21 (10): 972-976.
10. Matic A, Mehta P, Rehg JM, Osmani V, Mayora O. Monitoring Dressing Activity Failures through RFID and Video. Methods Inf Med 2012; 51 (1): 45-54.
11. IJmker T, Lamoth CJ. Gait and cognition: The relationship between gait stability and variability with executive function in persons with and without dementia. Gait Posture 2012; 35(1): 126-130.
12. Kearns WD, Nams VO, Fozard JL. Tortuosity in Movement Paths Is Related to Cognitive Impairment. Wireless Fractal Estimation in Assisted Living Facility Residents. Methods Inf Med 2010; 49 (6): 592-598.
13. Cumming T, Brodtmann A. Dementia and stroke: the present and future epidemic. Int J Stroke 2010; 5 (6): 453-454.
14. Wimo A, Winblad B, Jonsson L. The worldwide societal costs of dementia: estimates for 2009. Alzheimers Dement 2010; 6: 98-103.
15. Lamoth CJ, van Deudekom FJ, van Campen JP, Appels BA, de Vries OJ, Pijnappels M. Gait stability and variability measures show effects of impaired cognition and dual tasking in frail people. J Neuroeng Rehabil 2011; 8: 2.
16. Gillain S, Warzee E, Lekeu F, Wojtasik V, Maquet D, Croisier JL, Salmon E, Petermans J. The value of instrumental gait analysis in elderly healthy, MCI or Alzheimer's disease subjects and a comparison with other clinical tests used in single and dualtask conditions. Ann Phys Rehabil Med 2009; 52 (6): 453-474.
17. Martin E, Bajcsy R. Analysis of the Effect of Cognitive Load on Gait with off-the-shelf Accelerometers. Conf Proc Cognitive 2011; 2011: 1-6.
18. Sterke CS, van Beeck EF, Looman CW, Kressig RW, van der Cammen TJ. An electronic walkway can predict short-term fall risk in nursing home residents with dementia. Gait Posture 2012; 36 (1): 95-101.
19. Stone EE, Skubic M. Passive in-home measurement of stride-to-stride gait variability comparing vision and Kinect sensing. Conf Proc IEEE Eng Med Biol Soc 2011; 2011: 6491-6494.
20. Roethlisberger FJ, Dickson WJ, Wright HA. Management and the Worker. Cambridge, MA: Harvard University Press; 1966.
21. Foucher KC, Thorp LE, Orozco D, Hildebrand M, Wimmer MA. Differences in preferred walking speeds in a gait laboratory compared with the real world after total hip replacement. Arch Phys Med Rehabil 2010; 91 (9): 1390-1395.
22. Scanaill CN, Greene BR, Doheny EP, O'Donovan K, O'Shea T, O'Donovan AD, Foran T, Cunningham C, Kenny RA. Clinical Gait assessment of older adults using open platform tools. In: Conf Proc IEEE End Med Biol Soc 2011. pp 462-465.
23. Härlein J, Dassen T, Halfens RJ, Heinze C. Fall risk factors in older people with dementia or cognitive impairment: a systematic review. J Adv Nurs 2009; 65 (5): 922-933
24. Shimmer - Wireless Sensor Platform for Wear able Applications. Internet: http://www.shimmerresearch.com [last accessed 13 Jul 2010].
25. MMA7260QT Product Summery Page. Internet: http://cache.freescale.com/files/sensors/doc/data_sheet/MMA7260QT.pdf?pspll=1, last updated: Rev5, Mar 2008 [last accessed 14 Jul 2010].
26. Perry J. Gait analysis - normal and pathological function. Thorofare, NJ: Slack; 1992.
27. Marschollek M, Goevercin M, Wolf KH, Song B, Gietzelt M, Haux R, Steinhagen-Thiessen E. A performance comparison of accelerometry-based step detection algorithms on a large, non-laboratory sample of healthy and mobility-impaired persons. In: Conf Proc IEEE Eng Med Biol Soc 2008. pp 1319-1322.
28. Gietzelt M, Schnabel S, Wolf KH, Büsching F, Song B, Rust S, Marschollek M. A method to align the coordinate system of accelerometers to the axes of a human body: the depitch algorithm. Comput Methods Programs Biomed 2012; 106 (2): 97-103.
29. Callisaya ML, Blizzard L, Schmidt MD, Martin KL, McGinley JL, Sanders LM, Srikanth VK. Gait, gait variability and the risk of multiple incident falls in older people: a population-based study. Age Ageing 2011; 40 (4): 481-487.
30. Shimada H, Tiedemann A, Lord SR, Suzukawa M, Makizako H, Kobayashi K, Suzuki T. Physical factors underlying the association between lower walking performance and falls in older people: A structural equation model. Arch Gerontol Geriatr 2011; 53 (2): 131-134.
31. Marschollek M, Wolf KH, Gietzelt M, Nemitz G, Meyer zu Schwabedissen H, Haux R. Assessing elderly persons' fall risk using spectral analysis on accelerometric data - a clinical evaluation study. In: Proc Conf IEEE Eng Med Biol Soc 2008. pp 3682-3685.
32. Maybeck PS. Stochastic models, estimation, and control (Vol. 1). New York, NY: Academic Press; 1979.
33. Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH. The WEKA Data Mining Software: An Update. SIGKDD Explorations 2009; 11 (1): 10-18.
34. Quinlan JR. C4.5: Programs for Machine Learning. San Francisco, CA: Morgan Kaufmann Publishers; 1993.
35. Folstein MF, Folstein SE, McHugh PR. Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975; 12 (3): 189-198.
36. Cohen J. A coefficient of agreement for nominal scales. Edu Psychol Meas 1960; 20: 37-46.
37. Chung PC, Hsu YL, Wang CY, Lin CW, Wang, JS, Pai MC. Gait analysis for patients with Alzheimer's disease using a triaxial accelerometer. In: Proc Conf IEEE ISCAS 2012. pp 1323-1326
38. Scherder E, Eggermont L, Swaab D, van Heuvelen M, Kamsma Y, de Greef M, van Wijck R, Mulder T. Gait in ageing and associated dementias; its relationship with cognition. Neurosci Biobehav Rev 2007; 31 (4): 485-497.