Wearable inertial sensors for clinical gait analysis in Parkinson’s disease: a test-retest reliability study

Background: Parkinson’s disease (PD) is a neurodegenerative disorder that significantly affects gait parameters. Accurate and reliable gait assessment tools are essential for monitoring disease progression and treatment efficacy. The G-Walk®,a wearable inertial measurement device, offers a convenient and portable solution for evaluating spatiotemporal gait parameters, but its reliability in individuals with moderate-stage PD remains underexplored. Objectives: This study aimed to evaluate the test-retest reliability of the G-Walk® sensor system in assessing gait parameters in individuals with moderate-stage PD. Materials and methods: Thirteen participants with idiopathic PD completed two walking trials on a 14-meter pathway, conducted 3 to 7 days apart. Gait parameters, including stride length, cadence, gait velocity, and limb support times, were recorded using the G-Walk® system. Intraclass correlation coefficients (ICCs), standard error of measurement (SEM), and minimal detectable change (MDC) were calculated. Results: The G-Walk® system demonstrated excellent reliability for stride length (ICC=0.979), cadence (ICC=0.958), and gait velocity (ICC=0.997). Moderate reliability was observed for single limb support (ICC=0.699) and double limb support times (ICC=0.656). SEM and MDC values further supported the precision of the system for clinical applications. Conclusion: The G-Walk® sensor system is a reliable tool for assessing gait parameters in individuals with moderate-stage PD, particularly for stride length, cadence, and gait velocity. Its portability and ease of use make it suitable for clinical settings to track disease progression and evaluate interventions.

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Publication Details

Journal
Journal of Associated Medical Sciences
Published
2025-08-29
DOI
https://doi.org/10.12982/jams.2025.107
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

Wearable inertial sensors for clinical gait analysis in Parkinson’s disease: a test-retest reliability study

Maria Justine, Akkradate Siriphorn, Chernkhuan Stonsaovapak, Thanakorn Angkurasiripaiboon
Journal of Associated Medical Sciences
Balance, Gait, and Falls Prevention
article

Wearable inertial sensors for clinical gait analysis in Parkinson’s disease: a test-retest reliability study

Maria Justine, Akkradate Siriphorn, Chernkhuan Stonsaovapak, Thanakorn Angkurasiripaiboon
article en

Abstract

Background: Parkinson’s disease (PD) is a neurodegenerative disorder that significantly affects gait parameters. Accurate and reliable gait assessment tools are essential for monitoring disease progression and treatment efficacy. The G-Walk®,a wearable inertial measurement device, offers a convenient and portable solution for evaluating spatiotemporal gait parameters, but its reliability in individuals with moderate-stage PD remains underexplored. Objectives: This study aimed to evaluate the test-retest reliability of the G-Walk® sensor system in assessing gait parameters in individuals with moderate-stage PD. Materials and methods: Thirteen participants with idiopathic PD completed two walking trials on a 14-meter pathway, conducted 3 to 7 days apart. Gait parameters, including stride length, cadence, gait velocity, and limb support times, were recorded using the G-Walk® system. Intraclass correlation coefficients (ICCs), standard error of measurement (SEM), and minimal detectable change (MDC) were calculated. Results: The G-Walk® system demonstrated excellent reliability for stride length (ICC=0.979), cadence (ICC=0.958), and gait velocity (ICC=0.997). Moderate reliability was observed for single limb support (ICC=0.699) and double limb support times (ICC=0.656). SEM and MDC values further supported the precision of the system for clinical applications. Conclusion: The G-Walk® sensor system is a reliable tool for assessing gait parameters in individuals with moderate-stage PD, particularly for stride length, cadence, and gait velocity. Its portability and ease of use make it suitable for clinical settings to track disease progression and evaluate interventions.

Journal of Associated Medical SciencesVol. 58(3)
King Chulalongkorn Memorial Hospital
Openalex Percentile: Top 63%
Balance, Gait, and Falls Prevention
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