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Intra and Inter-Device Reliabilities of the Instrumented Timed-Up and Go Test Using Smartphones in Young Adult Population. | LitMetric

AI Article Synopsis

  • The Timed-Up and Go (TUG) test is commonly used for evaluating fall risk and mobility, but integrating smartphone technology can improve accuracy in measuring results.
  • A study analyzed the reliability of smartphone-based TUG parameters by conducting two experiments: one for intra-device reliability with 30 participants and another for inter-device reliability with 15 participants.
  • Results showed strong agreement between smartphone and stopwatch measurements, confirming that smartphone sensors can provide trustworthy data for TUG tests, although device variations can affect specific measurements like angular velocity during turns.

Article Abstract

The Timed-Up and Go (TUG) test is widely utilized by healthcare professionals for assessing fall risk and mobility due to its practicality. Currently, test results are based solely on execution time, but integrating technological devices into the test can provide additional information to enhance result accuracy. This study aimed to assess the reliability of smartphone-based instrumented TUG (iTUG) parameters. We conducted evaluations of intra- and inter-device reliabilities, hypothesizing that iTUG parameters would be replicable across all experiments. A total of 30 individuals participated in Experiment A to assess intra-device reliability, while Experiment B involved 15 individuals to evaluate inter-device reliability. The smartphone was securely attached to participants' bodies at the lumbar spine level between the L3 and L5 vertebrae. In Experiment A, subjects performed the TUG test three times using the same device, with a 5 min interval between each trial. Experiment B required participants to perform three trials using different devices, with the same time interval between trials. Comparing stopwatch and smartphone measurements in Experiment A, no significant differences in test duration were found between the two devices. A perfect correlation and Bland-Altman analysis indicated good agreement between devices. Intra-device reliability analysis in Experiment A revealed significant reliability in nine out of eleven variables, with four variables showing excellent reliability and five showing moderate to high reliability. In Experiment B, inter-device reliability was observed among different smartphone devices, with nine out of eleven variables demonstrating significant reliability. Notable differences were found in angular velocity peak at the first and second turns between specific devices, emphasizing the importance of considering device variations in inertial measurements. Hence, smartphone inertial sensors present a valid, applicable, and feasible alternative for TUG assessment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11086236PMC
http://dx.doi.org/10.3390/s24092918DOI Listing

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