Quantitative analysis of fall risk using TUG test

Computer Methods in Biomechanics and Biomedical Engineering

Volumn 18, Issue 4, 2015, Pages 426-437

  Zakaria, Nor Aini ^a,b   Kuwae, Yutaka ^c   Tamura, Toshiyo ^d   Minato, Kotaro ^a   Kanaya, Shigehiko ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^b UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^c Fujimoto Hayasuzu Hospital   (Japan)

^d OSAKA ELECTRO COMMUNICATION UNIVERSITY   (Japan)

Author keywords

falls; gait; Timed Up and Go; wearable inertial sensor

Indexed keywords

FALL RISK; FALLS; GAIT; INERTIAL SENSOR; TIMED UP AND GO;

ACCELEROMETER; ALGORITHM; ARTICLE; BIOMECHANICS; BIOMEDICAL ENGINEERING; BIOSENSOR; CLINICAL EVALUATION; EXPERIMENTAL DESIGN; EXPERIMENTAL TEST; FALL RISK ASSESSMENT; HUMAN; QUALITY OF LIFE; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; TIMED UP AND GO TEST; WALKING; AGED; FALLING; FEMALE; GAIT; MALE; PHYSIOLOGY; PREVENTION AND CONTROL; PROCEDURES; RISK ASSESSMENT; SIGNAL PROCESSING; TIME;

ACCIDENTAL FALLS; AGED; BIOMECHANICAL PHENOMENA; FEMALE; GAIT; HUMANS; MALE; PHYSIOLOGY; QUALITY OF LIFE; RISK ASSESSMENT; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS; WALKING;

EID: 84908513743     PISSN: 10255842     EISSN: 14768259     Source Type: Journal    
DOI: 10.1080/10255842.2013.805211     Document Type: Article

References (21)

1. BergKO, MakiBE, WilliamsKI. 1992. Clinical and laboratory measures of postural balance in an elderly population. Arch Phys Med Rehabil.73:1073–1080.
2. GreeneBR, O'DonovanA, Romero-OrtunoR, CoganL, ScanaillCN, KennyRA. 2010. Quantitative falls risk assessment using the timed up and go test. IEEE Trans Biomed Eng. 57(12):2918–2926.
3. HanJ, KamberM. 2006. Data mining: concepts and techniques. 2nd ed.San Francisco: Morgan Kaufmann Publisher. p. 347–350.
4. HausdorffJM, RiosDA, EdelberHK. 2001. Gait variability and fall risk in community living older adults. A 1-year prospective study. Arch Phys Med Rehabil. 82:1050–1056.
5. HenriksenM, LundH, Moe-NilssenR, BliddalH, Danneskiod-SamsoeB. 2004. Test–retest reliability of trunk accelerometric gait analysis. Gait Posture. 19:288–297.
6. HigashiY, YamakoshiK, FujimotoT, SekineM, TamuraT. 2008. Quantitative evaluation of movement using the timed up-and-go test. IEEE Eng Med Biol Mag. 27(4):38–46.
7. HornbrookMC, StevensVJ, WingfieldDJ, HollisJF, GreenlickMR, OryMG. 1994. Preventing falls among community-dwelling older persons: results from a randomized trial. Gerontologist. 34:16–23.
8. LeeJB, MellifontRB, BurkettBJ. 2010. The use of a single inertial sensor to identify stride, step, and stance durations of running gait. J Sci Med Sport. 13:270–273.
9. MathieMJ, CellerBG, LovellNH, CosterACF. 2004. Classification of basic daily movements using a triaxial accelerometer. Med Biol Eng Comput. 42:679–687.
10. MayagoitiaRE, NeneAV, VeltinkPH. 2002. Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems. J Biomech. 35(4):537–542.
11. MiyoshiH, NumataT, KuwaeY, SekineM, TsujiM, OkabeI, HaraK, FujimotoT, TamuraT. 2011. Evaluation of lower limb motor function using wireless motion sensors – a comparison of normal elderly subjects and those requiring support level 1. IEEJ Trans Electron Inf Syst. 132(1):104–110.
12. MorrisM, IansekR, MatyasT, SummersJ. 1998. Abnormalities in the stride length–cadence relation in parkinsonian gait. Mov Disord. 13(1):61–69.
13. NajafiB, AminianK, LoewF, BlancY, PhilippeRA. 2002. 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. 49(8):843–951.
14. PodsiadloD, RichardsonS. 1991. The timed up & go: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 39:142–148.
15. SalarianA, HorakFB, ZampieriC, Carlson-KuhtaP, NuttJG, AminianK. 2010. iTUG, a sensitive and reliable measure of mobility. IEEE Trans Neural Syst Rehabil Eng. 18(3):303–310.
16. Shumway-CookA, BrauerS, WoollacottM. 2000. Predicting the probability for falls in community-dwelling older adults using the timed up & go test. Phys Ther. 80:896–903.
17. SwanenburgJ, de BruinED, UelbelhartD, MulderT. 2010. Falls prediction in elderly people: a 1-year prospective study. Gait Posture. 31:317–321.
18. ThraneG, JoakimsenRM, ThornquistE. 2007. The association between timed up and go test and history of falls: the Tromso study. BMC Geriatr.7:1.
19. YangC-C, HsuY-L. 2010. A review of accelerometer-based wearable motion detectors for physical activity monitoring. Sensors. 10:7772–7788.
20. YangY-R, LeeY-Y, ChengS-J, LinP-Y, WangR-Y. 2008. Relationships between gait and dynamic balance in early Parkinson's disease. Gait Posture.27:611–615.
21. ZampieriC, SalarianA, Carlson-KuhtaP, AminianK, NuttJG, HorakFB. 2010. The instrumented timed up and go test – potential outcome measure for disease modifying therapies in Parkinson's disease. J Neurol Neurosurg Psychiatry. 81:171–176.