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A Method for Detection and Classification of Diabetes Noninvasively
S. Lekha,
Published in Springer Singapore
Volume: 490
Pages: 259 - 266
Diabetes a common ailment affecting the vast population of people requires continues monitoring of blood glucose levels so as to control this disorder. Presently, the common technique used to monitor these levels is through an invasive process of drawing blood. Although this technique achieves high accuracy, it encompasses all disadvantages associated with an invasive method. This inconvenience is felt more accurately in patients who frequently examine these levels through the day. Hence, there is a need for a noninvasive technique for predicting the glucose levels. This paper aims at analyzing the breath as a noninvasive technique to predict diabetes. © Springer Nature Singapore Pte Ltd. 2018.
About the journal
JournalData powered by TypesetLecture Notes in Electrical Engineering Computational Signal Processing and Analysis
PublisherData powered by TypesetSpringer Singapore
Open Access0