@article{47ea90a0d589454d80d2e207f6ba770c,
title = "Validation of shoe-worn Gait Up Physilog{\textregistered}5 wearable inertial sensors in adolescents",
abstract = "Background: Gait Up Physilog{\textregistered} wearable inertial sensors are a powerful alternative to traditional laboratory-based gait assessment for children with gait impairment. To build clinician trust in these devices and ultimately facilitate their use outside confined spaces, studies have examined performance of previous versions of Physilog{\textregistered} wearable inertial sensors but predominant focus has been on older adults. Despite their different gait patterns and behavioural/cognitive profiles, there are limited studies in children. Research question: To determine whether key spatiotemporal gait parameters (stride length, time and velocity) collected by shoe-worn Physilog{\textregistered}5 sensors in a hallway assessment protocol are a valid method of gait assessment in typically developing adolescents aged 12–15 years. Methods: A total 30 typically developing participants (50 % female) median age 13.7 (interquartile range 2.34) were assessed in an exploratory study whilst walking at self-selected speed over the GAITRite{\textregistered} electronic walkway, concurrently wearing Physilog{\textregistered}5 sensors. Concurrent validity was analysed by Lin's concordance correlation coefficient (CCC), Bland-Altman plots and 95 % limit of agreement. Systematic bias was assessed using 95 % confidence interval of the mean difference. Results: Mean stride data demonstrated substantial agreement for stride length (CCC = 0.975) and stride velocity (CCC = 0.979) to almost perfect agreement for stride time (CCC > 0.996). Agreement between the technologies for individual stride-to-stride data remained high for stride time (CCC = 0.952); yet reduced for stride length (CCC = 0.868) and stride velocity (CCC = 0.877). Male/female differences in performance of the technology were observed for stride velocity, favouring females. Significance: Physilog{\textregistered}5 inertial sensors accurately measure walking in adolescents, with stride time the most accurately detected parameter. This demonstrates that wearables can be used by researchers and clinicians working with adolescent groups as an alternative to fixed systems. These findings will ultimately pave the way to using wearables for assessments with children outside of the laboratory environment.",
keywords = "Adolescents, Children, Gait analysis, Inertial sensors, Physilog{\textregistered}5, Wearable",
author = "K. Carroll and Kennedy, {R. A.} and V. Koutoulas and M. Bui and Kraan, {C. M.}",
note = "Funding Information: This work was supported by a National Health and Medical Research Council Early Career fellowship ( 1120561 ) and the 2018 Graeme Clark HealthTech Innovation Challenge to Dr. Claudine Kraan. The authors would like to thank Perrin Date, Katy deValle and Justine Adams for their assistance with sensor set up and data collection. We would also like to thank Dr Alex Ure for providing neuropsychological support associated with participant screening. Our gratitude to A/Prof Susan Donath and Dr Susannah Vladmir, Clinical Epidemiology and Biostatistics Unit, Murdoch Children{\textquoteright}s Research Institute, for their statistical support in the initial phase of the analysis. We are grateful for the support of The Royal Children{\textquoteright}s Hospital Department of Neurology and the Murdoch Children{\textquoteright}s Research Institute . Finally, but importantly, to the young people and their families who willingly volunteered to participate in this study, thank you for your precious time. Funding Information: This work was supported by a National Health and Medical Research Council Early Career fellowship (1120561) and the 2018 Graeme Clark HealthTech Innovation Challenge to Dr. Claudine Kraan. The authors would like to thank Perrin Date, Katy deValle and Justine Adams for their assistance with sensor set up and data collection. We would also like to thank Dr Alex Ure for providing neuropsychological support associated with participant screening. Our gratitude to A/Prof Susan Donath and Dr Susannah Vladmir, Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, for their statistical support in the initial phase of the analysis. We are grateful for the support of The Royal Children's Hospital Department of Neurology and the Murdoch Children's Research Institute. Finally, but importantly, to the young people and their families who willingly volunteered to participate in this study, thank you for your precious time. Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2022",
month = jan,
doi = "10.1016/j.gaitpost.2021.09.203",
language = "English",
volume = "91",
pages = "19--25",
journal = "Gait and Posture",
issn = "0966-6362",
publisher = "Elsevier BV",
}