Evidence map›Paper›PMID 33051494›Full record

ArticleScientific reports2020

Perceiving amputee gait from biological motion: kinematics cues and effect of experience level.

I-Chieh Lee, Matheus M Pacheco, Michael D Lewek, He Huang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 3 institutions in 2 countries.

I-Chieh LeeUNC-NC State Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, 1407 - Engineering Building III, 1840 Entrepreneur Drive, Raleigh, NC, 27695, USA. ilee5@ncsu.edu.
Matheus M PachecoSchool of Physical Education and Sport, University of São Paulo, São Paulo, Brazil.
Michael D LewekDivision of Physical Therapy, Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
He HuangUNC-NC State Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, 1407 - Engineering Building III, 1840 Entrepreneur Drive, Raleigh, NC, 27695, USA.
University of North Carolina at Chapel Hill · USNorth Carolina State University · USUniversidade de São Paulo · BR

Funding

Error Tolerance in Wearer-Robot SystemsR01EB024570 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI HUANG, HE · 2018 to 2022
$1.8M
NIBIB NIH HHS R01 EB024570
6 · The paper itself

Abstract

Physical therapists (PT) and clinicians must be skilled in identifying gait features through observation to assess motor deficits in patients and intervene appropriately. Inconsistent results in the literature have led researchers to question how clinical experience influences PT's gait perception and to seek the key kinematic features that should be trained to enhance PT's skill. Thus, this study investigated (1) what are the informative kinematic features that allow gait-deviation perception in amputee gait and (2) whether there are differences in observational gait skills between PT and individuals with less clinical experience (PT students [PTS] and Novices). We introduced a new method that combines biological motion and principal component analysis to gradually mesh amputee and typical walking patterns. Our analysis showed that on average the accuracy rate in identifying gait deviations between PT and PTS was similar and better than Novices. Also, we found that PT's experience was demonstrated by their better perception of gait asymmetry. The extracted principal components demonstrated that the major gait deviation of amputees was the medial-lateral body sway and spatial gait asymmetry.

Indexed as

AmputeesPhysical TherapistsAdultAgedAnimalsArtificial LimbsBiomechanical PhenomenaClinical CompetenceCuesGaitGait Disorders, NeurologicHumansLegMaleMiddle AgedMovement

Identifiers

PMID33051494
PMCPMC7553956
OpenAlexW3092585117

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.