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
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Guideline for the Prevention of Falls in Older Persons
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Balance in elderly patients: the "get-up and go" test.
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Reliability of Measurements Obtained With the Timed “Up & Go” Test in People With Parkinson Disease
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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
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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
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Ayvat, E., & Kılınç, M. Y. (2020) · DergiPark (Istanbul University)
Development and Reliability Evaluation of an MQTT-Based Wearable Gait System for Elderly Pilgrims
Zairel, A. Z. B. A., Zainudin, S. Z. B., Mohamed, Z., Jani, F. B., & Ramli, M. H. B. M. (2025) · IEEE Student Conference on Research and Development (SCOReD) · doi:10.1109/scored68498.2025.11399125
“Similarly, wearable inertial sensors have been applied in clinical and home settings to support rehabilitation and continuous monitoring [10], but few implementations have addressed real-time gait tracking in outdoor or high-density environments.”
Cavazzuti, L., Damiano, B., Merlo, A., Bò, M. C., Scaltriti, S., Cavallieri, F., Rauso, G. D., Portaro, G., Argenziano, G., Fioravanti, V., et al. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1758979
Sýkorová, D., Kolářová, B., Kolář, P., Krahulík, D., Afifi, A. N. M., Otruba, P., & Nevrlý, M. (2026) · Journal of Integrative Neuroscience · doi:10.31083/jin48076
Mr, V. K., Lopatin, T., Goble, D. J., Kendall, B., Grunberger, G., & Haworth, J. L. (2026) · Perceptual and Motor Skills · doi:10.1177/00315125261471241
Molero-Mateo, P., Trigo, C., Torres-Pardo, A., Vázquez, D. F., Torricelli, D., Akgün, İ., Gómez-García, J. A., Algaba-Vidoy, M., Carratalá‐Tejada, M., Diego-Martínez, S. G., et al. (2026) · Sensors · doi:10.3390/s26165177
“Consequently, detailed analyses of upper-and lower-body kinematics, joint-and plane-specific movement patterns, and frontal-plane control remain scarce [2,35,36,41,42].”
Xu, D., Xu, H., Zhang, X., Li, M., & Meng, X. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1915589
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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