The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
The instrumented timed up and go test: potential outcome measure for disease modifying therapies in Parkinson's disease
Open accessAbstract
The Timed Up and Go (TUG) test has been used to assess balance and mobility in Parkinson's Disease (PD). However, it is not known if this test is sensitive to subtle abnormalities present in early stages of the disease, when balance and gait problems are not clinically evident but may be detected with instrumented analysis of movement. We hypothesise that postural transitions and arm swing during gait will be the most sensitive characteristics of the TUG for early PD. In the present study, we instrumented the TUG test (iTUG) using portable inertial sensors, and extended the walking distance from 3 m (traditional TUG) to 7 m. Twelve subjects with early-to-moderate, untreated PD and 12 healthy individuals participated. Our findings show that although the stopwatch measure of TUG duration did not detect any abnormalities in early-to-mid-stage PD, the peak arm swing velocity on the more affected side, average turning velocity, cadence and peak trunk rotation velocity were significantly slower. These iTUG parameters were also correlated with the Unified Parkinson's Disease Rating Motor Scale. Thus, the iTUG test is sensitive to untreated PD and could potentially detect progression of PD and response to symptomatic and disease-modifying treatments.
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Cites
The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons
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Unified Parkinson's Disease Rating Scale
(2012) · SpringerReference · doi:10.1007/springerreference_184495 · Cited by 3,066
Clinical and laboratory measures of postural balance in an elderly population.
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Self-citationReliability of Measurements Obtained With the Timed “Up & Go” Test in People With Parkinson Disease
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Gait Assessment in Parkinson's Disease: Toward an Ambulatory System for Long-Term Monitoring
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Cited by
iTUG, a Sensitive and Reliable Measure of Mobility
Salarian, A., Horak, F. B., Zampieri, C., Carlson-Kuhta, P., Nutt, J. G., & Aminian, K. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2047606 · Cited by 489
Self-citationQuantitative 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
Falls in Parkinson's disease: A complex and evolving picture
Fasano, A., Canning, C. G., Hausdorff, J. M., Lord, S., & Rochester, L. (2017) · Movement Disorders · doi:10.1002/mds.27195 · Cited by 363
Pasluosta, C. F., Gassner, H., Winkler, J., Klucken, J., & Eskofier, B. M. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2461555 · Cited by 323
Continuous Monitoring of Turning in Patients with Movement Disability
El-Gohary, M., Pearson, S., McNames, J., Mancini, M., Horak, F., Mellone, S., & Chiari, L. (2013) · Sensors · doi:10.3390/s140100356 · Cited by 258
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Metadata
- Authors
- Zampieri, C., Salarian, A., Carlson-Kuhta, P., Aminian, K., Nutt, J. G., & Horak, F. B.
- Venue
- Journal of Neurology, Neurosurgery & Psychiatry
- Publisher
- BMJ
- Published
- 2009-09-02
- Volume
- 81
- Issue
- 2
- Pages
- 171-176
- ISSN
- 0022-3050 (ISSN-L)
- OpenAlex
- W2104640464
- Cited by
- 366
- References
- 42
- FWCI
- 30.28
- Type
- journal article
- Language
- en
- Open access
- green
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