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

Weiss, Aner, Herman, Talia, Plotnik, Meir, Brozgol, Marina, Maidan, Inbal, Giladi, Nir, Gurevich, Tanya, Hausdorff, Jeffrey M.·2010·Medical Engineering & Physics
DOI 10.1016/j.medengphy.2009.10.015

Cited by (207)

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  89. An investigation into the postural control and balance of people with Parkinson's disease and possible therapeutic approaches to improve their postural instability and balance confidence
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  96. Wearable Electronics
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  99. Additional file 1 of Identifying sensors-based parameters associated with fall risk in community-dwelling older adults: an investigation and interpretation of discriminatory parameters
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