Evidence map›Paper›PMID 22400054›Full record

ArticleComputational and mathematical methods in medicine2012

Principal component analysis of gait kinematics data in acute and chronic stroke patients.

Ivana Milovanović, Dejan B Popović

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Individualized feedback to change multiple gait deficits in chronic stroke.Journal of neuroengineering and rehabilitation · 2019
    Article
  12. Immediate effects of a novel walking assist device with auxiliary illuminator on patients after acute strokes.Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao · 2019
    Article
  13. Automatic and near real-time stylistic behavior assessment in robotic surgery.International journal of computer assisted radiology and surgery · 2019
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  18. Validation in principal components analysis applied to EEG data.Computational and mathematical methods in medicine · 2014
    Article
  19. An intelligent system approach for asthma prediction in symptomatic preschool children.Computational and mathematical methods in medicine · 2013
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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

2 authors.

Ivana MilovanovićFaculty of Electrical Engineering, University of Belgrade, Belgrade, Serbia.
Dejan B Popović

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the joint angles analysis by means of the principal component analysis (PCA). The data from twenty-seven acute and chronic hemiplegic patients were used and compared with data from five healthy subjects. The data were collected during walking along a 10-meter long path. The PCA was applied on a data set consisting of hip, knee, and ankle joint angles of the paretic and the nonparetic leg. The results point to significant differences in joint synergies between the acute and chronic hemiplegic patients that are not revealed when applying typical methods for gait assessment (clinical scores, gait speed, and gait symmetry). The results suggest that the PCA allows classification of the origin for the deficit in the gait when compared to healthy subjects; hence, the most appropriate treatment can be applied in the rehabilitation.

Indexed as

Principal Component AnalysisAcute DiseaseAgedAnkle JointBiomechanical PhenomenaChronic DiseaseFemaleGaitHemiplegiaHip JointHumansKnee JointMaleMiddle AgedStrokeStroke Rehabilitation

Identifiers

PMID22400054
PMCPMC3286897

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.