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How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway. | LitMetric

AI Article Synopsis

  • Wearable sensors are used to assess gait and balance impairment over long periods, but there's a need to determine the optimal duration for accurate data collection without causing excessive burden on patients.
  • Previous studies on sensor wear duration focused on various movement variables but often overlooked important measures like postural sway, highlighting the need for standardized methodologies.
  • A new three-level framework was proposed, suggesting that 2 to 3 days of monitoring may suffice for capturing variability, while longer durations could strengthen correlations with patient-reported outcomes, emphasizing the importance of observation frequency and measure variability.

Article Abstract

Wearable sensors facilitate the evaluation of gait and balance impairment in the free-living environment, often with observation periods spanning weeks, months, and even years. Data supporting the minimal duration of sensor wear, which is necessary to capture representative variability in impairment measures, are needed to balance patient burden, data quality, and study cost. Prior investigations have examined the duration required for resolving a variety of movement variables (e.g., gait speed, sit-to-stand tests), but these studies use differing methodologies and have only examined a small subset of potential measures of gait and balance impairment. Notably, postural sway measures have not yet been considered in these analyses. Here, we propose a three-level framework for examining this problem. Difference testing and intra-class correlations (ICC) are used to examine the agreement in features computed from potential wear durations (levels one and two). The association between features and established patient reported outcomes at each wear duration is also considered (level three) for determining the necessary wear duration. Utilizing wearable accelerometer data continuously collected from 22 persons with multiple sclerosis (PwMS) for 6 weeks, this framework suggests that 2 to 3 days of monitoring may be sufficient to capture most of the variability in gait and sway; however, longer periods (e.g., 3 to 6 days) may be needed to establish strong correlations to patient-reported clinical measures. Regression analysis indicates that the required wear duration depends on both the observation frequency and variability of the measure being considered. This approach provides a framework for evaluating wear duration as one aspect of the comprehensive assessment, which is necessary to ensure that wearable sensor-based methods for capturing gait and balance impairment in the free-living environment are fit for purpose.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503816PMC
http://dx.doi.org/10.3390/s22186982DOI Listing

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