University of Bahrain
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A Portable and Low Cost System to Blood Glucose, Cholesterol and Urea Identification

Show simple item record Braga, José Renato Garcia Queiroz, Alvaro Antonio Alencar Ramos, Alexandre Carlos Brandão 2018-07-05T09:32:24Z 2018-07-05T09:32:24Z 2012
dc.identifier.issn 2210-142X
dc.description.abstract Over the last century there has been a considerable increase in human longevity and this made a large number of people to reach a critical age for development of several diseases. As a result of this increase in life expectancy health issues related, some examples are hypercholesterolemia, hyperglycemia and increased levels of blood urea. This paper presents a portable and low cost system using Artificial Neural Networks to blood metabolites identification. The system developed is based in amperometric biosensors and is able to perform the identification of glucose, cholesterol and urea concentrations in the blood. The main goals of this system is: the identification of three types of blood metabolites with their concentrations, the low cost of the entire system and the reuse capability of the biosensor. en_US
dc.language.iso en_US en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject artificial neural networks en_US
dc.subject chemical and biological sensors en_US
dc.subject monitoring blood metabolites en_US
dc.title A Portable and Low Cost System to Blood Glucose, Cholesterol and Urea Identification en_US
dc.type Article en_US
dc.volume 01
dc.issue 01
dc.source.title International Journal of Computing and Digital Systems
dc.abbreviatedsourcetitle IJCDS

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