Assessment of Pelvic Motion During Single-Leg Weight-Bearing Tasks Using Smartphone Sensors: Validity Study

Despite a consistent bias, the smartphone demonstrated good to excellent validity relative to gold-standard MOCAP for most outcomes. This demonstrates that smartphones offer an accessible and affordable tool to objectively characterize pelvic motion during different single-leg weight-bearing tasks in healthy participants. Together with earlier reports of good between-day reliability of similar measures during single-leg squats, our results suggest that smartphone sensors can be used to assess and monitor single-leg task performance. Future studies should investigate whether smartphone sensors can aid in the assessment and treatment of people with musculoskeletal disorders. More user-friendly interfaces and data analysis procedures may also facilitate the implementation of this technology in practice.

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Publication Details

Journal
JMIR Rehabilitation and Assistive Technologies
Published
2025-02-04
DOI
https://doi.org/10.2196/65342
Citations
1
Primary Topic
Lower Extremity Biomechanics and Pathologies
Type
article
Field-Weighted Citation Impact
0.67
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article

Assessment of Pelvic Motion During Single-Leg Weight-Bearing Tasks Using Smartphone Sensors: Validity Study

Valter Devecchi, Alessio Gallina, Xi Yu, Zhongsheng Li et al.
1 citations
JMIR Rehabilitation and Assistive Technologies
Lower Extremity Biomechanics and Pathologies
0.67
article

Assessment of Pelvic Motion During Single-Leg Weight-Bearing Tasks Using Smartphone Sensors: Validity Study

Valter Devecchi, Alessio Gallina, Xi Yu, Zhongsheng Li, Surendran Vatatheeswaran
article en
1 citations

Abstract

Despite a consistent bias, the smartphone demonstrated good to excellent validity relative to gold-standard MOCAP for most outcomes. This demonstrates that smartphones offer an accessible and affordable tool to objectively characterize pelvic motion during different single-leg weight-bearing tasks in healthy participants. Together with earlier reports of good between-day reliability of similar measures during single-leg squats, our results suggest that smartphone sensors can be used to assess and monitor single-leg task performance. Future studies should investigate whether smartphone sensors can aid in the assessment and treatment of people with musculoskeletal disorders. More user-friendly interfaces and data analysis procedures may also facilitate the implementation of this technology in practice.

JMIR Rehabilitation and Assistive TechnologiesVol. 12
University of Birmingham (GB)
Openalex Percentile: Top 35%
Lower Extremity Biomechanics and Pathologies
0.67
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Assessment of Pelvic Motion During Single-Leg Weight-Bearing Tasks Using Smartphone Sensors: Validity Study — Valter Devecchi, Alessio Gallina, et al. · JMIR Rehabilitation and Assistive Technologies (2025) | TGRS Research Map | TGRS