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

NCT04865224 | Completed

• 1 other identifier: B17EUni-2020-34
• Study Type: observational
• Target: 353
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Hemoglobin Level Measurement; Hemoglobin Level Estimation

Keywords

non-invasive; deep learning; hemoglobin level estimation

Outcome Measures

Primary Outcomes (2)

• Bland-Altman analysis

  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.

  1 day

• Estimation accuracy analysis

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

  1 day

Interventions

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.

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

People whose hemoglobin level has been measured in the clinic or laboratory.

You may qualify if:

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

You may not qualify if:

• 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.

Sponsors & Collaborators

• Karabuk University: lead

Study Sites (1)

Karabuk University

Karabük, 78050, Turkey (Türkiye)

Location

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Asst. Prof. (Ph.D.)

Study Record Dates

• First Submitted: April 26, 2021
• First Posted: April 29, 2021
• Study Start: July 15, 2020
• Primary Completion: December 30, 2020
• Study Completion: December 30, 2020
• Last Updated: April 29, 2021

Record last verified: 2021-04

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)