Evidence map›Paper›PMID 36366025›Full record

ArticleSensors (Basel, Switzerland)2022

The Development of a Built-In Shoe Plantar Pressure Measurement System for Children.

Sarah De Guzman, Andrew Lowe, Cylie Williams, Anubha Kalra, Gautam Anand

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 2 countries.

Sarah De GuzmanSchool of Engineering, Computing and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
Andrew LoweSchool of Engineering, Computing and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
Cylie WilliamsFaculty of Medicine, Nursing and Health Sciences, Monash University, Sydney 2109, Australia.ORCID 0000-0002-0223-9141
Anubha KalraSchool of Engineering, Computing and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.ORCID 0000-0001-7908-3053
Gautam AnandSchool of Engineering, Computing and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.ORCID 0000-0002-3388-1225
Auckland University of Technology · NZMonash University · AU

Funding

Ministry of Business, Innovation and Employment EXGWare
6 · The paper itself

Abstract

There is a rapid increase in plantar pressure from the infant to toddler stage, yet little is known about the reasons for this change. More information about plantar pressure distribution can help clinicians identify early-stage foot-related diseases that may occur during transitions from childhood to adulthood. This information also helps designers create shoes that adapt to different needs. This research describes the development of a low-cost, built-in shoe plantar pressure measurement system that determines foot pressure distribution in toddlers. The study aimed to improve and provide data on pressure distribution during foot growth. This was accomplished by implementing a plantar pressure capacitive measurement system within shoes. The capacitive sensors were laminated using a copper tape sheet on plastic backing with adhesive, elastomer layers, and a combination of conductive and non-conductive fabrics. Constructed sensors were characterized using compression tests with repeated loads. Results demonstrated that the sensors exhibited rate-independent hysteresis in the estimation of pressure. This enabled a calibration model to be developed. The system can mimic more expensive plantar pressure measurement systems at lower fidelity. This emerging technology could be utilized to aid clinicians, researchers, and footwear designers interested in how pressure distribution changes from infants to toddlers.

Indexed as

Diabetic FootFoot DiseasesAdolescentChildFootHumansLower ExtremityPressureShoesYoung Adultchildfootsensortoddler

Identifiers

PMID36366025
PMCPMC9656063
OpenAlexW4307939232

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.