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HemaApp analyzes the color of blood to estimate hemoglobin concentrations.
September 8, 2016
By: University of Washington
In the developing world, anemia—a blood condition exacerbated by malnutrition or parasitic disease—is a staggeringly common health problem that often goes undiagnosed. In hospitals everywhere, children and adults with leukemia and other disorders require frequent blood draws to determine if they need blood transfusions. In both cases, doctors are interested in measuring hemoglobin, a protein found in red blood cells. To obtain this basic measurement, health care providers either have to draw blood with a needle or intravenous line, or spend hundreds to thousands of dollars on a specialized machine that measures hemoglobin non-invasively. Now, electrical engineers and computer scientists from the University of Washington have developed HemaApp, which uses a smartphone camera to estimate hemoglobin concentrations and screen for anemia. The new technology is described in a paper that has received a “Best Paper” award from the Association for Computing Machinery’s 2016 International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) and will be presented Sept. 15 at the conference in Germany. In an initial trial of 31 patients, and with only one smartphone modification, HemaApp performed as well as the Masimo Pronto, the more expensive Food and Drug Administration-approved medical device that non-invasively measures hemoglobin by clipping a sensor onto a person’s finger. “In developing countries, community health workers have so much specialized equipment to monitor different conditions that they literally have whole bags full of devices,” said lead author and UW electrical engineering doctoral student Edward Wang. “We are trying to make these screening tools work on one ubiquitous platform—a smartphone.” By shining light from the phone’s camera flash through the patient’s finger, HemaApp analyzes the color of his or her blood to estimate hemoglobin concentrations. The researchers tested the app under three different scenarios: using the smartphone camera’s flash alone, in combination with a common incandescent lightbulb, and with a low-cost LED lighting attachment. The additional illumination sources tap into other parts of the electromagnetic spectrum that have useful absorption properties but that aren’t currently found on all smartphone cameras. “New phones are beginning to have more advanced infrared and multi-color LED capabilities,” said senior author Shwetak Patel, the Washington Research Foundation Entrepreneurship Endowed Professor in Computer Science & Engineering and Electrical Engineering. “But what we found is that even if your phone doesn’t have all that, you can put your finger near an external light source like a common lightbulb and boost the accuracy rates.” In the initial trials, HemaApp’s hemoglobin measurements using a smartphone camera alone had a 69 percent correlation to a patient’s Complete Blood Count (CBC) test, a 74 percent correlation when used under a common incandescent light bulb and an 82 percent correlation using a small circle of LED lights that can snap onto the phone.
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