Evidence map›Paper›PMID 25763648›Full record

ArticleSensors (Basel, Switzerland)2015

Fracture of human femur tissue monitored by acoustic emission sensors.

Dimitrios G Aggelis, Maria Strantza, Olivia Louis, Frans Boulpaep, Demosthenes Polyzos, Danny van Hemelrijck

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Acoustic Prediction and Biomechanical Validation of Primary Stability in Uncemented Short-Stem Hip Prostheses: An Experimental Study.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Hip implant performance prediction by acoustic emission techniques: a review.Medical & biological engineering & computing · 2020
    Review
  9. Article
  10. Article
  11. Review
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

6 authors at 2 institutions in 2 countries.

Dimitrios G AggelisDepartment of Mechanics of Materials and Constructions, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. daggelis@vub.ac.be.
Maria StrantzaDepartment of Mechanics of Materials and Constructions, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. maria.strantza@vub.ac.be.
Olivia LouisDepartment of Radiology, UZ Brussel, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium. olivia.louis@uzbrussel.be.
Frans BoulpaepDepartment of Mechanics of Materials and Constructions, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. frans.boulpaep@vub.ac.be.
Demosthenes PolyzosDepartment of Mechanical Engineering and Aeronautics, University of Patras, Panepistimioupolis Rion, 26500 Patra, Greece. polyzos@mech.upatras.gr.
Danny van HemelrijckDepartment of Mechanics of Materials and Constructions, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. danny.van.hemelrijck@vub.ac.be.
Vrije Universiteit Brussel · BEUniversity of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study describes the acoustic emission (AE) activity during human femur tissue fracture. The specimens were fractured in a bending-torsion loading pattern with concurrent monitoring by two AE sensors. The number of recorded signals correlates well with the applied load providing the onset of micro-fracture at approximately one sixth of the maximum load. Furthermore, waveform frequency content and rise time are related to the different modes of fracture (bending of femur neck or torsion of diaphysis). The importance of the study lies mainly in two disciplines. One is that, although femurs are typically subjects of surgical repair in humans, detailed monitoring of the fracture with AE will enrich the understanding of the process in ways that cannot be achieved using only the mechanical data. Additionally, from the point of view of monitoring techniques, applying sensors used for engineering materials and interpreting the obtained data pose additional difficulties due to the uniqueness of the bone structure.

Indexed as

AcousticsRemote Sensing TechnologyBiomechanical PhenomenaFemoral FracturesHumansStress, Mechanical

Identifiers

PMID25763648
PMCPMC4435197
OpenAlexW2034123443

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.