NCT07451509

Implementation of Machine Learning Into Optical Pedography

Implementing Machine Learning Into Optical Pedography: Development and Validation of a Novel Instrument: a Validation Study

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 150 (estimated)
• Sponsor: Palacky University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

This study aims to evaluate the validity and reliability of a proposed plantar pressure assessment intrument based on an implementation of machine learning into optical pedography.

Detailed description

This study aims to evaluate the validity and reliability of a proposed plantar pressure assessment intrument based on an implementation of machine learning into optical pedography. The whole process will be divided into distinct steps required for the targeted outcome, which includes: 1. collecting visual data (podoscope foot pictures) and training a segmentation machine learning-based algorithm designed for recognizing only feet area, a total of atleast 30 participants performing 9 different standing positions - over 270 usable pictures for training and functionality validation 2. collecting personal, visual and pressure data (participant weight, podoscope foot pictures, pedobarographic platform measurements) and training a machine/deep learning-based model designed for feet pressure distribution areas identification and quantification, a total of estimated 60 participants undergoing 5 alternating, as similar as possible, measurements on podoscope and pedobarographic platform 3. evaluating the validity and reliability of a new plantar pressure measuring instrument following the same imaging procedure as described in step 2, a total of estimated 60 participants

Conditions

• Healthy
• Foot
• Pressure Area
• Pressure Distribution

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Optical pedography	Comparison of 5 alternating measures taken on podoscope and pedobarographic platform

Timeline

• Start date: 2026-03-01
• Primary completion: 2026-12-01
• Completion: 2027-12-01
• First posted: 2026-03-05
• Last updated: 2026-03-05

Locations

1 site across 1 country: Czechia