Evidence map›Paper›PMID 37430761›Full record

ArticleSensors (Basel, Switzerland)2023

Effect of Sensor Size, Number and Position under the Foot to Measure the Center of Pressure (CoP) Displacement and Total Center of Pressure (CoPT) Using an Anatomical Foot Model.

Hussein Abou Ghaida, Luiz Poffo, Ronan Le Page, Jean-Marc Goujon

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Hussein Abou GhaidaUniv Rennes, CNRS, Institut FOTON-UMR 6082, 6 rue de Kerampont CS 80518, F-22305 Lannion, France.
Luiz PoffoUniv Rennes, CNRS, Institut FOTON-UMR 6082, 6 rue de Kerampont CS 80518, F-22305 Lannion, France.
Ronan Le PageUniv Rennes, CNRS, Institut FOTON-UMR 6082, 6 rue de Kerampont CS 80518, F-22305 Lannion, France.ORCID 0000-0002-9925-1525
Jean-Marc GoujonUniv Rennes, CNRS, Institut FOTON-UMR 6082, 6 rue de Kerampont CS 80518, F-22305 Lannion, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambulatory instrumented insoles are widely used in real-time monitoring of the plantar pressure in order to calculate balance indicators such as Center of Pressure (CoP) or Pressure Maps. Such insoles include many pressure sensors; the required number and surface area of the sensors used are usually determined experimentally. Additionally, they follow the common plantar pressure zones, and the quality of measurement is usually strongly related to the number of sensors. In this paper, we experimentally investigate the robustness of an anatomical foot model, combined with a specific learning algorithm, to measure the static displacement of the center of pressure (CoP) and the center of total pressure (CoPT), as a function of the number, size, and position of sensors. Application of our algorithm to the pressure maps of nine healthy subjects shows that only three sensors per foot, with an area of about 1.5 × 1.5 cm

Indexed as

FootLower ExtremityAlgorithmsHealthy VolunteersHumansModels, Anatomiccenter of pressureplantar pressure measurementposition measurementpressure measurementpressure sensorssensor systems and applications

Identifiers

PMID37430761
PMCPMC10223275

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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.