Skip to main content
OpenTrials
Completed

NCT Number: NCT04865224

Non-Invasive Estimation of Hemoglobin Levels in Blood Using Combined Deep Learning Methods

Hemoglobin is an important protein that gives the blood its red color and helps transport oxygen to organs. There are quite a lot of people in the world who need to have their hemoglobin levels checked regularly, especially anemia patients. It is important to keep the hemoglobin levels in the blood of these individuals under control. For this, it is necessary to measure in frequent periods. A large group, from adults to children, needs to take these measurements. Most of these are invasive measurements made with blood that require devices and trained people. These painful methods are quite uncomfortable.

In this study, non-invasive hemoglobin level measurement was aimed with a combined DL model created by using nail images with age, height, weight, BMI, and gender information of the volunteers.

Completed

Looking for future studies?

Notify Me

Key information

Conditions

Hemoglobin Level Measurement Hemoglobin Level Estimation

Sex eligibility

All sexes

Study type

Observational

Primary location

Karabuk University

Karabük, 78050, Turkey (Türkiye)

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Individuals need to be healthy.
  • Individuals should not have any active hand or nail disease.
  • Individuals should know their hemoglobin level.

Exclusion criteria

-In case of any condition that hides the natural nail color, such as henna, nail polish, protective or trauma-induced dents, bruises on the nails of individuals, it is removed from the study.

Treatment and study plan

hemoglobin estimation

Diagnostic Test

In this method, in which different deep learning models are used together, the age range is intended to be as wide as possible to provide a quick solution with a high accuracy and low error values.

Primary outcomes

  1. Bland-Altman analysis

    Time frame: 1 day

    Bland-Altman analysis was performed to make the results simpler and more understandable. This analysis is especially used in the simple and graphical expression of measurements in which two methods are compared.

  2. Estimation accuracy analysis

    Time frame: 1 day

    It is an analysis that compares the estimated hemoglobin values with the measured hemoglobin values.

Sponsors and collaborators

Lead sponsor

Karabuk University

Other

Registry information

Important dates

Study start
2020
Primary completion
2020
Study completion
2020
First posted
Apr 29, 2021
Registry last updated
Apr 29, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.