Machine learning helps map foot pressure for healthy adults

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

Researchers will collect foot images and pressure measurements from adults to train and validate algorithms that identify foot areas and quantify pressure distribution. The study proceeds in steps: gathering foot images to train a segmentation model, collecting combined visual and pressure data to train a pressure-mapping model, and then testing the new instrument’s validity and reliability. Participants will undergo multiple measurements on a podoscope and a pressure platform to compare results. The work aims to establish whether the ML-enhanced optical pedography method provides accurate and consistent plantar pressure data.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* A healthy individual with no absence of lower extremity
* Aged ≥18 years
* Willingness to participate and ability to follow the assessors instructions.

Exclusion Criteria:

* Presence of foot diseases alternating foot contact area
* Cognitive or psychiatric disorders limiting cooperation
* Lack of informed consent or non-compliance during imaging

Where it's running

• Faculty of Health Sciences, Palacký University Olomouc, Czech Republic
  Olomouc, Czechia, Czechia Recruiting

Study contacts

• Study coordinator: Jonatan Dvořáček
• Email: jonatan.dvoracek01@upol.cz
• Phone: +420731061089

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.