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Estimating blood sugar from voice samples - A preliminary study

 
: Tschöpe, Constanze; Duckhorn, Frank; Wolff, Matthias; Saeltzer, Gerhard

:

Arabnia, Hamid R. (Ed.) ; Institute of Electrical and Electronics Engineers -IEEE-; American Council on Science and Education -ACSE-, Las Vegas/Nev.:
International Conference on Computational Science and Computational Intelligence, CSCI 2015. Proceedings : 7-9 December 2015, Las Vegas, Nevada, USA
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2015
ISBN: 978-1-4673-9795-7
pp.804-805
International Conference on Computational Science and Computational Intelligence (CSCI) <2015, Las Vegas/Nev.>
English
Conference Paper
Fraunhofer IKTS ()
diabetes; blood sugar value; voice characteristics; voice analysis

Abstract
Diabetes is a widespread disease. Patients have to pay attention to their blood sugar value all the time. Hypoglycemia and hyperglycemia are dangerous and must be treated. Self-testing, typically involving a prick with a lancet, is often painful and the costs for testing devices and supplies are immense. It is well-known that the human voice carries all kinds of information and depends on various factors. Therefore we conjectured that it may also be influenced by the blood sugar level. This paper presents a preliminary study which shows that a patient’s blood sugar condition actually seems to manifest itself in the voice. Results encourage us to go the next steps: a large scale long time study in collaboration with medical experts and, finally, the development of a measurement device or smartphone app.

: http://publica.fraunhofer.de/documents/N-382902.html