The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index.
Can an accelerometer enhance the utility of the Timed Up & Go Test when evaluating patients with Parkinson's disease?
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.
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“They have shown that instrumented tests lead to an improved sensitivity to gait impairments compared to observation methods.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [104]
Citations
Cites
The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons
Podsiadlo, D., & Richardson, S. (1991) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1991.tb01616.x · Cited by 14,418
Guideline for the Prevention of Falls in Older Persons
Society, A. G., Society, G., Of, A. A., & On Falls Prevention, O. S. P. (2001) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2001.49115.x · Cited by 2,242
Balance in elderly patients: the "get-up and go" test.
Mathias, S., Nayak, U. S., & Isaacs, B. (1986) · PubMed · Cited by 1,539
Reliability of Measurements Obtained With the Timed “Up & Go” Test in People With Parkinson Disease
Morris, S., Morris, M. E., & Iansek, R. (2001) · Physical Therapy · doi:10.1093/ptj/81.2.810 · Cited by 664
Najafi, B., Aminian, K., Loew, F., Blanc, Y., & Robert, P. A. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2002.800763 · Cited by 435
Direction-specific postural instability in subjects with Parkinson's disease
Horak, F. B., Dimitrova, D. M., & Nutt, J. G. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2004.12.008 · Cited by 434
Moe‐Nilssen, R. (1998) · Clinical Biomechanics · doi:10.1016/s0268-0033(98)00089-8 · Cited by 406
Falls in outpatients with Parkinson's disease
Balash, Y., Peretz, C., Leibovich, G., Herman, T., Hausdorff, J. M., & Giladi, N. (2005) · Journal of Neurology · doi:10.1007/s00415-005-0855-3 · Cited by 276
Self-citationLawton, G. (2006) · The New Scientist · Cited by 233
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A review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-21 · Cited by 2,396
The relevance of clinical balance assessment tools to differentiate balance deficits.
Mancini, M., & Horak, F. B. (2010) · PubMed · Cited by 695
Properties of the ‘Timed Up and Go’ Test: More than Meets the Eye
Herman, T., Giladi, N., & Hausdorff, J. M. (2010) · Gerontology · doi:10.1159/000314963 · Cited by 575
Self-citationHow Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review
Rovini, E., Maremmani, C., & Cavallo, F. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00555 · Cited by 446
“…walking a 3m (or 7m) distance at a normal speed, followed by a turn of 180◦ and walking back, and ending with another turn of 180◦ and sitting down on the chair (Salarian et al., 2010; Weiss et al., 2010; AlJawad et al., 2012; Mariani et al., 2013; Palmerini et al., 2013; Reinfelder et al., 2015).”
BackgroundQuantitative wearable sensors for objective assessment of Parkinson's disease
Maetzler, W., Domingos, J., Srulijes, K., Ferreira, J. J., & Bloem, B. R. (2013) · Movement Disorders · doi:10.1002/mds.25628 · Cited by 374
Metadata
- Authors
- Weiss, A., Herman, T., Plotnik, M., Brozgol, M., Maidan, I., Giladi, N., Gurevich, T., & Hausdorff, J. M.
- Affiliations
- Tel Aviv Sourasky Medical Center (IL)
- Tel Aviv University (IL)
- Harvard University (US)
- Corresponding author
- Hausdorff, Jeffrey M.
- ORCID
- Venue
- Medical Engineering & Physics
- Publisher
- IOP Publishing
- Published
- 2009-11-25
- Volume
- 32
- Issue
- 2
- Pages
- 119-125
- ISSN
- 1350-4533 (ISSN-L)
- 1873-4030
- OpenAlex
- W2139868675
- Cited by
- 207
- References
- 23
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 7 · 2023: 11 · 2022: 10 · 2021: 8 · 2020: 15 · 2019: 14 · 2018: 11 · 2017: 18 · 2016: 19 · 2015: 20 · 2014: 16 · 2013: 19 · 2012: 10
- FWCI
- 22.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Medical Engineering & Physics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- European Commission
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- Parkinson's disease, Timed Up and Go test, accelerometer, mobility assessment, fall risk, sit-to-stand, stand-to-sit, acceleration parameter, jerk, objective biomarkers, disease progression
- MeSH terms
- Accidental Falls, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Motor Activity, Parkinson Disease, Posture, Time Factors, Case-Control Studies, Risk Assessment
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