Evidence map›Paper›PMID 32312145›Full record

ArticleProsthetics and orthotics international2020

Accuracy and repeatability of smartphone sensors for measuring shank-to-vertical angle.

Brandon T Nguyen, Nick A Baicoianu, Darrin B Howell, Keshia M Peters, Katherine M Steele

Abstract read
In one paragraph

Article in Prosthetics and orthotics international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Brandon T NguyenUniversity of Washington, Seattle, WA, USA.
Nick A BaicoianuUniversity of Washington, Seattle, WA, USA.
Darrin B HowellUniversity of Washington, Seattle, WA, USA.
Keshia M PetersUniversity of Washington, Seattle, WA, USA.
Katherine M SteeleUniversity of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-4128-9387

Funding

SCH: Ubiquitous rehabilitation to improve movement after neurologic injury R01EB021935 · NIBIB · UNIVERSITY OF WASHINGTON · PI STEELE, KATHERINE M · 2015 to 2018
$1.6M
NIBIB NIH HHS R01 EB021935
6 · The paper itself

Abstract

backgroundAssessments of human movement are clinically important. However, accurate measurements are often unavailable due to the need for expensive equipment or intensive processing. For orthotists and therapists, shank-to-vertical angle is one critical measure used to assess gait and guide prescriptions. Smartphone-based sensors may provide a widely available platform to expand access to this measurement.

objectivesAssess accuracy and repeatability of smartphone-based measurement of shank-to-vertical angle compared to marker-based 3D motion analysis. STUDY

designRepeated-measures.

methodsFour licensed clinicians (two physical therapists and two orthotists) measured shank-to-vertical angle during gait with a smartphone attached to the anterior or lateral shank surface of unimpaired adults. We compared the shank-to-vertical angle calculated from the smartphone's inertial measurement unit to marker-based measurements. Each clinician completed three sessions/day on two days with each participant to assess repeatability.

resultsAverage absolute differences in shank-to-vertical angle measured with a smartphone versus marker-based 3D motion analysis during gait were 0.67 ± 0.25° and 4.89 ± 0.72°, with anterior or lateral smartphone positions, respectively. The inter- and intra-day repeatability of shank-to-vertical angle were within 2° for both smartphone positions.

conclusionsSmartphone sensors can be used to measure shank-to-vertical angle with high accuracy and repeatability during unimpaired gait, providing a widely available tool for quantitative gait assessments. CLINICAL RELEVANCE: Smartphone sensors demonstrated high accuracy and repeatability for monitoring shank-to-vertical angle during gait. Measurement of shank-to-vertical angle from the front of the shank was more accurate than the side of the shank. Smartphones may expand access to quantitative assessments of gait.

Indexed as

Wearable Electronic DevicesAdultBiomechanical PhenomenaFemaleGait AnalysisHealthy VolunteersHumansLegMaleReproducibility of ResultsSmartphoneclinical gait analysisgaitgait analysisinertial measurement unitOrthoticssmartphonewearable technology

Identifiers

PMID32312145
PMCPMC8900712

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.