Evidence map›Paper›PMID 31159379›Full record

ArticleSensors (Basel, Switzerland)2019

Real-Time Detection of Seven Phases of Gait in Children with Cerebral Palsy Using Two Gyroscopes.

Ahad Behboodi, Nicole Zahradka, Henry Wright, James Alesi, Samuel C K Lee

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. [A gait signal acquisition and parameter characterization method based on foot pressure detection combined with Azure Kinect system].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 2 institutions in 1 country.

Ahad BehboodiBiomechanics and Movement Science Program, University of Delaware, Newark, DE 19713, USA. ahadbeh@udel.edu.
Nicole ZahradkaBiomechanics and Movement Science Program, University of Delaware, Newark, DE 19713, USA. nzahrad1@jhu.edu.
Henry WrightDepartment of Physical Therapy, University of Delaware, Newark, DE 19713, USA. henryw@udel.edu.
James AlesiDepartment of Physical Therapy, University of Delaware, Newark, DE 19713, USA. jfalesi@udel.edu.ORCID 0000-0001-5671-326X
Samuel C K LeeBiomechanics and Movement Science Program, University of Delaware, Newark, DE 19713, USA. slee@udel.edu.ORCID 0000-0002-3749-2665
University of Delaware · USShriners Hospitals for Children - Philadelphia · US

Funding

Pilot Project ProgramP30GM103333 · NIGMS · UNIVERSITY OF DELAWARE · PI BUCHANAN, THOMAS S · 2012 to 2016
$5.7M
National Institutes of Health P30 GM103333NIGMS NIH HHS P30 GM103333Shriners Hospitals for Children 71011Shriners Hospitals for Children 71011-PHI-18
6 · The paper itself

Abstract

A recently designed gait phase detection (GPD) system, with the ability to detect all seven phases of gait in healthy adults, was modified for GPD in children with cerebral palsy (CP). A shank-attached gyroscope sent angular velocity to a rule-based algorithm in LabVIEW to identify the distinct characteristics of the signal. Seven typically developing children (TD) and five children with CP were asked to walk on treadmill at their self-selected speed while using this system. Using only shank angular velocity, all seven phases of gait (Loading Response, Mid-Stance, Terminal Stance, Pre-Swing, Initial Swing, Mid-Swing and Terminal Swing) were reliably detected in real time. System performance was validated against two established GPD methods: (1) force-sensing resistors (GPD-FSR) (for typically developing children) and (2) motion capture (GPD-MoCap) (for both typically developing children and children with CP). The system detected over 99% of the phases identified by GPD-FSR and GPD-MoCap. Absolute values of average gait phase onset detection deviations relative to GPD-MoCap were less than 100 ms for both TD children and children with CP. The newly designed system, with minimized sensor setup and low processing burden, is cosmetic and economical, making it a viable solution for real-time stand-alone and portable applications such as triggering functional electrical stimulation (FES) in rehabilitation systems. This paper verifies the applicability of the GPD system to identify specific gait events for triggering FES to enhance gait in children with CP.

Indexed as

AdolescentAlgorithmsBiosensing TechniquesCerebral PalsyChildElectric StimulationFemaleGaitHumansMaleWearable Electronic Devicescerebral palsy (CP)functional electrical stimulation (FES)gait analysisgait eventgait pathologygait phase detection (GPD)motion capture

Identifiers

PMID31159379
PMCPMC6603656
OpenAlexW2947811356

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.