Literature DB >> 19942472

Can an accelerometer enhance the utility of the Timed Up & Go Test when evaluating patients with Parkinson's disease?

Aner Weiss1, Talia Herman, Meir Plotnik, Marina Brozgol, Inbal Maidan, Nir Giladi, Tanya Gurevich, Jeffrey M Hausdorff.   

Abstract

INTRODUCTION: The Timed Up and Go (TUG) test is a widely used measure of mobility and fall risk in older adults and in Parkinson's disease (PD). We tested the hypothesis that body-fixed accelerometers can provide insight into TUG performance in PD patients.
METHODS: We examined 17 patients with PD (Hoehn and Yahr score: 2.7+/-0.7; ON state) and 15 age-matched healthy controls; mean ages were 66.8+/-5.9 years, 67.6+/-9.6 years, respectively. Subjects wore a 3D-accelerometer (ADXL330, Analog Devices) on the lower back while performing the TUG test. Sit-to-Stand and Stand-to-Sit times were extracted from the anterior-posterior (AP) signal. Parameters included Sit-to-Stand, Stand-to-Sit durations, amplitude range (Range) and slopes (Jerk). Acceleration median and standard deviation (SD) were also calculated.
RESULTS: Stopwatch-based TUG duration tended to be higher for the PD patients compared to the control group, although not significantly (p=0.08). In contrast, the TUG duration that was extracted from the acceleration signal was significantly (p<0.02) higher in the PD group compared to the control group. Many acceleration-parameters were also significantly different (p<0.05) between groups; most were not correlated with TUG duration.
CONCLUSIONS: Accelerometer-derived parameters are sensitive to group differences, indicating that PD patients have poorer mobility during specific aspects of the TUG. In addition to test duration, these measures may serve as complementary and objective bio-markers of PD to augment the evaluation of disease progression and the response to therapeutic interventions. (c) 2009 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19942472     DOI: 10.1016/j.medengphy.2009.10.015

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  65 in total

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2.  Age-associated changes in head jerk while walking reveal altered dynamic stability in older people.

Authors:  Matthew A D Brodie; Hylton B Menz; Stephen R Lord
Journal:  Exp Brain Res       Date:  2013-10-05       Impact factor: 1.972

3.  Automated detection of near falls: algorithm development and preliminary results.

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4.  Role of body-worn movement monitor technology for balance and gait rehabilitation.

Authors:  Fay Horak; Laurie King; Martina Mancini
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5.  Smartphone-based solutions for fall detection and prevention: the FARSEEING approach.

Authors:  S Mellone; C Tacconi; L Schwickert; J Klenk; C Becker; L Chiari
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6.  Association between performance on Timed Up and Go subtasks and mild cognitive impairment: further insights into the links between cognitive and motor function.

Authors:  Anat Mirelman; Aner Weiss; Aron S Buchman; David A Bennett; Nir Giladi; Jefferey M Hausdorff
Journal:  J Am Geriatr Soc       Date:  2014-03-17       Impact factor: 5.562

Review 7.  The relevance of clinical balance assessment tools to differentiate balance deficits.

Authors:  M Mancini; F B Horak
Journal:  Eur J Phys Rehabil Med       Date:  2010-06       Impact factor: 2.874

8.  Properties of the 'timed up and go' test: more than meets the eye.

Authors:  Talia Herman; Nir Giladi; Jeffrey M Hausdorff
Journal:  Gerontology       Date:  2010-05-20       Impact factor: 5.140

9.  Transition Between the Timed up and Go Turn to Sit Subtasks: Is Timing Everything?

Authors:  Aner Weiss; Anat Mirelman; Nir Giladi; Lisa L Barnes; David A Bennett; Aron S Buchman; Jeffrey M Hausdorff
Journal:  J Am Med Dir Assoc       Date:  2016-09-01       Impact factor: 4.669

10.  Identifying axial and cognitive correlates in patients with Parkinson's disease motor subtype using the instrumented Timed Up and Go.

Authors:  Talia Herman; Aner Weiss; Marina Brozgol; Nir Giladi; Jeffrey M Hausdorff
Journal:  Exp Brain Res       Date:  2013-11-30       Impact factor: 1.972

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