Evidence map›Paper›PMID 41155074›Full record

ArticleBioengineering (Basel, Switzerland)2025

Biomechanics of Human Motion and Its Clinical Applications: Instrumented Gait Analysis.

Gordon Alderink, Sylvia Õunpuu

Abstract readEditorial
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors.

Gordon AlderinkDepartment of Physical Therapy & Athletic Training, Grand Valley State University, Grand Rapids, MI 49503, USA.ORCID 0000-0002-6184-0914
Sylvia ÕunpuuConnecticut Children's Medical Center, University of Connecticut School of Medicine, Hartford, CT 06032, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A review of the methods and applications of marker-based and markerless-based motion capture and inertial measurement units for clinical gait analysis is offered to provide readers with an important historical and legacy-guided perspective. Advantages and limitations of these methods are delineated in light of Cappozzo's 'considerations on clinical gait evaluation' and Brand and Crowninshield's 'comment on criteria for patient evaluation tools'. Critical summaries of each manuscript that make up this Special Issue reflect consideration of the notable comments by the legacy biomechanists who had the insights to frame important issues.

Indexed as

biomechanical modelsclinical instrumented gait analysiselectromyographyinertial measurement unitskinematicskineticsmachine learningmotion capturepedobarographythree-dimensional

Identifiers

PMID41155074
PMCPMC12561807

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.