A Novel Approach to Characterizing Patterns of Real-World Upper-Extremity Use During Walking and Activities of Daily Living in People with Subacute Stroke

In accelerometer-based measurement, the inclusion of upper extremity (UE) activity during walking can overestimate real-world functional UE use in people post-stroke. This study introduces a comprehensive, accelerometer-based approach to examining real-world UE use, including the contribution of UE activity during walking, and compares UE use during walking versus ADL-based activities. People with subacute stroke wore bilateral wrist and ankle inertial measurement units (IMU) for one week (24 h/day). Agreement between UE-Total, UE-Continuous Walking and UE-ADL measures were assessed using Bland–Altman analyses. Variables were modeled using linear regression to explore step count, mobility aid use and UE motor impairment as predictors of IMU measures of real-world UE use. Agreement between UE-Total and UE-ADL measures showed minimal bias. Differences between UE-Continuous Walking and UE-ADL varied by mobility aid. UE-Continuous Walking was associated with increased UE activity and relatively greater paretic arm use compared with UE-ADL. Across UE-Continuous Walking and UE-ADL, step count was the strongest predictor of real-world UE use. UE activity during continuous walking exhibits different use patterns as compared to ADL-based activity. Accordingly, separating continuous walking-related UE activity from ADL-based UE use may improve clinical interpretation of IMU measures of real-world UE use in individuals with subacute stroke.

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Publication Details

Journal
Sensors
Published
2026-08-03
DOI
https://doi.org/10.3390/s26154881
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel Approach to Characterizing Patterns of Real-World Upper-Extremity Use During Walking and Activities of Daily Living in People with Subacute Stroke

Courtney L. Pollock, Marilyn MacKay-Lyons, Janice J. Eng, Adria Quigley et al.
Sensors
Stroke Rehabilitation and Recovery
article

A Novel Approach to Characterizing Patterns of Real-World Upper-Extremity Use During Walking and Activities of Daily Living in People with Subacute Stroke

Courtney L. Pollock, Marilyn MacKay-Lyons, Janice J. Eng, Adria Quigley, Kyle S Weber, Karen Van Ooteghem, Gentson Leung, Benjamin Ritsma, Aishwarya Shenoy, Mark Theodore Bayley, Kit B. Beyer, Michael D. Hill, Robert Teasell, Nathania Liem, William McIlroy, Anita Mountain, Jennifer Yao, Sean P. Dukelow
article en

Abstract

In accelerometer-based measurement, the inclusion of upper extremity (UE) activity during walking can overestimate real-world functional UE use in people post-stroke. This study introduces a comprehensive, accelerometer-based approach to examining real-world UE use, including the contribution of UE activity during walking, and compares UE use during walking versus ADL-based activities. People with subacute stroke wore bilateral wrist and ankle inertial measurement units (IMU) for one week (24 h/day). Agreement between UE-Total, UE-Continuous Walking and UE-ADL measures were assessed using Bland–Altman analyses. Variables were modeled using linear regression to explore step count, mobility aid use and UE motor impairment as predictors of IMU measures of real-world UE use. Agreement between UE-Total and UE-ADL measures showed minimal bias. Differences between UE-Continuous Walking and UE-ADL varied by mobility aid. UE-Continuous Walking was associated with increased UE activity and relatively greater paretic arm use compared with UE-ADL. Across UE-Continuous Walking and UE-ADL, step count was the strongest predictor of real-world UE use. UE activity during continuous walking exhibits different use patterns as compared to ADL-based activity. Accordingly, separating continuous walking-related UE activity from ADL-based UE use may improve clinical interpretation of IMU measures of real-world UE use in individuals with subacute stroke.

SensorsVol. 26(15)
Western University (CA), University of British Columbia Hospital (CA), Dalhousie University (CA), Lawson Health Research Institute (CA), University Health Network (CA), University of British Columbia (CA), University of Waterloo (CA), University of Calgary (CA), University of Toronto (CA), Queen's University (CA), BC Centre for Disease Control (CA), Ontario Brain Institute (CA), University of Windsor (CA)
University of Calgary, Fondation Brain Canada, Canadian Bee Research Fund, Sunnybrook Research Institute, Government of Canada, Health Canada, Natural Sciences and Engineering Research Council of Canada
Reduced inequalities
Openalex Percentile: Top 13%
Stroke Rehabilitation and Recovery
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