Validity and Reproducibility of Inertial Physilog Sensors for Spatiotemporal Gait Analysis in Patients With Stroke
Abstract
Spatiotemporal gait analysis can provide quantitative information to assess treatment outcomes in stroke survivors. Therefore, clinicians need a portable, easy-to-use and low-cost tool that accurately and reliably measures spatiotemporal gait parameters. This paper examined the concurrent validity and reproducibility of the Gait Up gait analysis package for the spatiotemporal gait analysis in subacute stroke survivors. Twenty-five subacute stroke survivors participated in two walking tests. Spatiotemporal gait parameters were synchronously measured by 2 foot-worn inertial sensors (Physilog) and three-dimensional motion capturing (Vicon). Intraclass correlation coefficients, standard errors of measurement, smallest detectable changes, limits of agreement, and the Bland-Altman plots were calculated for the paretic and non-paretic side. After removing a consistent outlier (i.e., data of the paretic side of subject 36 who dragged his foot), agreement between both devices was good to excellent for paretic and non-paretic gait cycle time, cadence, stride length, stride velocity, and double support and moderate for paretic and non-paretic stance and swing. The Bland-Altman plots supported these findings. Test-retest reliability was good to excellent for most parameters, except paretic stance and swing. In conclusion, the Gait Up gait analysis package is a valid and reliable tool to measure paretic and non-paretic gait cycle time, cadence, stride length, and stride velocity in subacu…
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Physilog inertial sensors have good technical capability compared to reference systems in healthy and clinical settings.
“In general Physilog inertial sensors have good technical capability compared to reference systems in healthy and clinical settings (39, 40).”
From The instrumented single leg stance test detects early balance impairment in people with multiple sclerosis (2023) · cites this paper as [39]
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- Authors
- Lefeber, N., Degelaen, M., Truyers, C., Safin, I., & Beckwee, D.
- Affiliations
- Vrije Universiteit Brussel (BE)
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2019-09
- Volume
- 27
- Issue
- 9
- Pages
- 1865-1874
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2963403203
- Cited by
- 77
- References
- 32
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 17 · 2023: 12 · 2022: 9 · 2021: 16 · 2020: 4 · 2019: 1
- FWCI
- 5.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
- PubMed (publishedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Funders
- Fonds Wetenschappelijk Onderzoek
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Keywords
- spatiotemporal gait analysis, stroke, inertial sensors, concurrent validity, test-retest reliability, paretic limb, subacute stroke, gait cycle time, cadence, stride length, stride velocity, double support, stance and swing phases, wearable sensors, motion capture comparison
- MeSH terms
- Stroke Rehabilitation, Gait Analysis, Adult, Aged, Aged, 80 and over, Algorithms, Biomechanical Phenomena, Female, Gait, Humans, Male, Middle Aged, Paresis, Reproducibility of Results, Walking, Gait Disorders, Neurologic, Stroke
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