Implementation of Machine Learning Into Optical Pedography
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorPalacky University
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
A healthy individual with no absence of lower extremity
Aged ≥18 years
Willingness to participate and ability to follow the assessors instructions.
Disqualifiers
Presence of foot diseases alternating foot contact area
Cognitive or psychiatric disorders limiting cooperation
Lack of informed consent or non-compliance during imaging
Trial population
Healthy individuals willing to participate in the study protocol
Trial design
Design model
Other
Time perspective
Prospective
Treatments tested in this trial
Optical pedography
Diagnostic testComparison of 5 alternating measures taken on podoscope and pedobarographic platform
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
Criterion validity of foot area measurement
The total contact area of the foot during a static stance will be measured by the machine learning based optical pedography Instrument and compared to the gold standard pedobarographic platform. The validity will be determined by the Pearson Correlation Coefficient (r) between the two devices. Unit of measure: Pearson Correlation Coefficient (r) ranging from -1 to 1.
Time frame
Day 12
Criterion validity of peak plantar pressure distribution
The distribution of pressure across the plantar surface (specifically mean peak pressure) will be measured. Validity will be assessed by calculating the Intraclass Correlation Coefficient (ICC) between the machine learning based optical pedography instrument and the gold standard pedobarographic platform. Unit of measure: Intraclass Correlation Coefficient (ICC) ranging from 0 to 1.
Time frame
Day 13
Intrasession reliability of foot area measurement
The consistency of the total contact area (cm 2) measured across 5 repeated trials within a single session. Reliability will be assessed using the Intraclass Correlation Coefficient (ICC 3,5) to determine the degree of agreement between the five captures of the same participant's feet. Units of measure: Intraclass Correlation Coefficient (ICC) ranging from 0 to 1
Time frame
Day 14
Intrasession reliability of mean peak pressure
The consistency of mean peak pressure measurements across 5 repeated trials within a single session. Reliability will be assessed by calculating the Intraclass Correlation Coefficient (ICC 3,5) for the five measurements taken on the machine learning based optical pedography instrument. Unit of measure: Intraclass Correlation Coefficient (ICC) ranging from 0 to 1
Time frame
Day 1Sponsors and contacts
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Source ClinicalTrials.gov