Evidence map›Paper›PMID 33596942›Full record

ArticleJournal of neuroengineering and rehabilitation2021

Foot progression angle estimation using a single foot-worn inertial sensor.

Frank J Wouda, Stephan L J O Jaspar, Jaap Harlaar, Bert-Jan F van Beijnum, Peter H Veltink

Abstract read
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Article in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Knee adduction moment decomposition: Toward better clinical decision-making.Frontiers in bioengineering and biotechnology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Frank J WoudaFaculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands. frankwouda@gmail.com.ORCID 0000-0002-4401-4434
Stephan L J O JasparFaculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands.
Jaap HarlaarDepartment of Rehabilitation Medicine, Amsterdam Movement Sciences, VU University Medical Center, Amsterdam, The Netherlands.
Bert-Jan F van BeijnumFaculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands.
Peter H VeltinkFaculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe foot progression angle is an important measure used to help patients reduce their knee adduction moment. Current measurement systems are either lab-bounded or do not function in all environments (e.g., magnetically distorted). This work proposes a novel approach to estimate foot progression angle using a single foot-worn inertial sensor (accelerometer and gyroscope).

methodsThe approach uses a dynamic step frame that is recalculated for the stance phase of each step to calculate the foot trajectory relative to that frame, to minimize effects of drift and to eliminate the need for a magnetometer. The foot progression angle (FPA) is then calculated as the angle between walking direction and the dynamic step frame. This approach was validated by gait measurements with five subjects walking with three gait types (normal, toe-in and toe-out).

resultsThe FPA was estimated with a maximum mean error of ~ 2.6° over all gait conditions. Additionally, the proposed inertial approach can significantly differentiate between the three different gait types.

conclusionThe proposed approach can effectively estimate differences in FPA without requiring a heading reference (magnetometer). This work enables feedback applications on FPA for patients with gait disorders that function in any environment, i.e. outside of a gait lab or in magnetically distorted environments.

Indexed as

Wearable Electronic DevicesAccelerometryAdultBiomechanical PhenomenaFootGait AnalysisHumansMaleFoot progression angleInertial sensorsKnee osteoarthritisMinimal sensingPCAZero Velocity Update

Identifiers

PMID33596942
PMCPMC7888122

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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.