A team of researchers at Purdue University has developed an app that can take pictures of eyelids to detect anemia. The software analyzes and evaluates hemoglobin levels as markers for diseases such as anemia or kidney damage, making blood abnormalities easier to detect. And this method is less intrusive and well worth promoting to underdeveloped areas of medical resources.
(Photo by: Purdue University / Vincent Walter)
The study, led by Young Kim of Purdue University, is believed to be working on a newly developed set of algorithms. By converting low-resolution cell phone photos into high-resolution digital spectral signals, the team was able to analyze and calculate levels of hemorrhagic hemoglobin.
Although the current software, which measures hemoglobin levels, still needs to run on a separate computer, the team hopes to integrate it into the app to further simplify the reach of the program.
Sang Mok Park explains that the idea is to see the spectrum through a simple photograph, after all, humans can’t tell a few photos with very similar redness with the naked eye.
Spectroscopy provides algorithms with multiple data points, increasing the chances of finding valuable information that is highly relevant to hemoglobin levels.
The Young Kim team is continuing to improve the software so that it can get rid of other hardware and run it alone on a smart machine.
After taking a picture of the eyelids through the camera, the doctor regularly assesses the degree of redness and swelling, and then uses its own software algorithm to process the operation.
Spectroscopic analysis with a smartphone app to help assess anemia (via)
Young Kim, associate professor of biomedical engineering at Purdue University, added: “While there is no substitute for traditional blood testing, this technology provides a timely and noninvasive technical basis for hemoglobin.”
After all, in some extreme cases, patients may need to undergo multiple blood tests, which can worsen the already anaemic body. Details of the study have been published in the recent issue of the journal OSA Optica.
Originally published as New Mobile Health Tool S. Hemoglobin Draw Draw.