Evidence map›Paper›PMID 36502203›Full record

ArticleSensors (Basel, Switzerland)2022

Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors.

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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, Melbourne, VIC 3800, Australia.ORCID 0000-0002-0223-9141
Anubha KalraSchool of Engineering, Computing and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
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

Knowledge of foot growth can provide information on the occurrence of children's growth spurts and an indication of the time to buy new shoes. Podiatrists still do not have enough evidence as to whether footwear influences the structural development of the feet and associated locomotor behaviours. Parents are only willing to buy an inexpensive brand, because children's shoes are deemed expendable due to their rapid foot growth. Consumers are not fully aware of footwear literacy; thus, views of consumers on children's shoes are left unchallenged. This study aims to embed knitted smart textile sensors in children's shoes to sense the growth and development of a child's feet-specifically foot length. Two prototype configurations were evaluated on 30 children, who each inserted their feet for ten seconds inside the instrumented shoes. Capacitance readings were related to the proximity of their toes to the sensor and validated against foot length and shoe size. A linear regression model of capacitance readings and foot length was developed. This regression model was found to be statistically significant (

Indexed as

FootShoesChildHumansTextilesToesfoot length developmentproximity capacitive sensingtextile sensors

Identifiers

PMID36502203
PMCPMC9738577
OpenAlexW4311627279

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.