Evaluation of Inter-Method Reliability Between Palarum PUP Smart Socks® and the Opal v1 Mobility Lab System Among Ambulatory Adults

Early mobilization (EM) can mitigate hospital-acquired deconditioning by preserving prehospital functional status. EM measurement is challenging due to concerns such as accuracy and patient comfort. Palarum PUP® Smart Socks were designed for the hospital setting to track step count and time out of bed. The purpose of this study was to evaluate the inter-method reliability of the Palarum PUP® Smart Socks compared with the Opal v1 Mobility Lab system. Using a cross-sectional design, participants wore Smart Socks and six mobility sensors while completing three trials of a 20 m walk at a self-selected pace. Step count, stride length, gait speed, and duration were recorded. Differences between the two measurement systems were assessed using paired t-tests, agreement was evaluated using Bland–Altman analyses, and reliability was assessed using intraclass correlation coefficients (ICCs) with 95% confidence intervals. Fifty-three participants were enrolled (mean age 37.9 ± 16.7 years; 64% female; 75% White; BMI 28.2 ± 5.9 kg/m2). ICCs demonstrated excellent reliability for step count and duration (ICC > 0.90) moderate reliability for gait speed (ICC = 0.52), and poor reliability for stride length (ICC = 0.30). Reliability was statistically significant for step count, gait speed, duration, and stride length (all p < 0.01). Findings support the reliability of Palarum PUP® Smart Socks among ambulatory adults. By overcoming many limitations of traditional wearables in hospital settings, Smart Socks may be particularly well suited for EM programs. However, further validation is needed among hospitalized adults who may have slower gait speed and/or altered gait patterns.

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Publication Details

Journal
Sensors
Published
2026-09-09
DOI
https://doi.org/10.3390/s26185730
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
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article

Evaluation of Inter-Method Reliability Between Palarum PUP Smart Socks® and the Opal v1 Mobility Lab System Among Ambulatory Adults

Pamela J. Wright, Alicia Flach, Kesheng Wang, Kelsie M. Bryant
Sensors
Intensive Care Unit Cognitive Disorders
article

Evaluation of Inter-Method Reliability Between Palarum PUP Smart Socks® and the Opal v1 Mobility Lab System Among Ambulatory Adults

Pamela J. Wright, Alicia Flach, Kesheng Wang, Kelsie M. Bryant
article en

Abstract

Early mobilization (EM) can mitigate hospital-acquired deconditioning by preserving prehospital functional status. EM measurement is challenging due to concerns such as accuracy and patient comfort. Palarum PUP® Smart Socks were designed for the hospital setting to track step count and time out of bed. The purpose of this study was to evaluate the inter-method reliability of the Palarum PUP® Smart Socks compared with the Opal v1 Mobility Lab system. Using a cross-sectional design, participants wore Smart Socks and six mobility sensors while completing three trials of a 20 m walk at a self-selected pace. Step count, stride length, gait speed, and duration were recorded. Differences between the two measurement systems were assessed using paired t-tests, agreement was evaluated using Bland–Altman analyses, and reliability was assessed using intraclass correlation coefficients (ICCs) with 95% confidence intervals. Fifty-three participants were enrolled (mean age 37.9 ± 16.7 years; 64% female; 75% White; BMI 28.2 ± 5.9 kg/m2). ICCs demonstrated excellent reliability for step count and duration (ICC > 0.90) moderate reliability for gait speed (ICC = 0.52), and poor reliability for stride length (ICC = 0.30). Reliability was statistically significant for step count, gait speed, duration, and stride length (all p < 0.01). Findings support the reliability of Palarum PUP® Smart Socks among ambulatory adults. By overcoming many limitations of traditional wearables in hospital settings, Smart Socks may be particularly well suited for EM programs. However, further validation is needed among hospitalized adults who may have slower gait speed and/or altered gait patterns.

SensorsVol. 26(18)
University of South Carolina (US), Virginia Commonwealth University (US), Neurobehavioral Systems (US), Department of Health Services (US)
Openalex Percentile: Top 9%
Intensive Care Unit Cognitive Disorders
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