Noninvasive hemoglobin measurement using unmodified smartphone camera and white flash

Area of Science:

• Biomedical Engineering
• Medical Diagnostics
• Mobile Health (mHealth)

Background:

• Anemia diagnosis relies on accurate hemoglobin level measurement.
• Current methods for hemoglobin estimation can be invasive or require specialized equipment.
• Previous research explored smartphone-based hemoglobin measurement using RGB cameras and IR light.

Purpose of the Study:

• To investigate the feasibility of measuring hemoglobin levels using a smartphone's built-in RGB camera and white LED.
• To determine the accuracy of hemoglobin estimation without the use of an infrared light source.
• To develop a non-invasive, accessible method for hemoglobin level assessment.

Main Methods:

• Utilized a standard smartphone's built-in RGB camera.
• Employed the phone's integrated white LED as the sole illumination source.
• Developed an algorithm to process image data and estimate hemoglobin concentration.
• Validated results against established metrics like Pearson correlation and RMSE.

Main Results:

• Achieved a Pearson correlation of 0.62 for hemoglobin level estimation using only the white LED.
• Obtained a Root Mean Square Error (RMSE) of 1.27 g/dL.
• Demonstrated that hemoglobin measurement is feasible without an infrared light source, building upon prior work.

Conclusions:

• A mobile phone's native camera and white LED can be used for non-invasive hemoglobin level estimation.
• This approach offers a promising, accessible alternative to traditional methods, particularly in resource-limited settings.
• Further research can refine the algorithm for improved accuracy and broader clinical application.