mHealth Spectroscopy Measures Hemoglobin Optically

The Hgb measurements are based on statistical learning of SSR of the eyelids, and reconstruction of the detailed spectra from the camera’s three color RGB data. To perform an Hgb measurement, the patient pulls down the inner eyelid to expose the small blood vessels underneath.

A healthcare professional then uses the smartphone app to take pictures of the inner eyelids. The SSR then extracts the detailed spectral information from the camera's images and a computational algorithm quantifies Hgb content from the data. The mobile app also includes features designed to stabilize image quality and synchronize the smartphone flashlight so as to obtain consistent images. The inner eyelid was selected as the sensing site because microvasculature is easily visible there, and it is not affected by skin color, which eliminates the need for any personal calibrations.

With the aid of a randomly selected group of 138 patients who had conventional blood tests at the Moi University Teaching and Referral Hospital, the researchers first trained the algorithm, and then tested the mobile health app with the remaining 15 volunteers. The results showed that the prediction errors for the smartphone technique were within 5-10% of those measured with clinical laboratory blood tests. They now plan to use the mobile health tool to assess nutritional status, anemia, and sickle cell disease. The study was published in the June 2020 issue of Optica.

“This new technology could be very useful for detecting anemia, which is characterized by low levels of blood hemoglobin. This is a major public health problem in developing countries, but can also be caused by cancer and cancer treatments,” said senior author Professor Young Kim, PhD, of Purdue University. "The COVID-19 pandemic has greatly increased awareness of the need for expanded mobile health and telemedicine services.”

Related Links:
Purdue University
Vanderbilt University
Moi University