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

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.

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.