Detection of the blood glucose and haemoglobin A1C with palm perspiration by using artificial neural networks (original) (raw)

2011

Abstract

The invasive measurement techniques that puncture the skin during the detection are generally used for blood glucose and haemoglobin A1C (HbA1C) detection. In this paper, artificial neural network structures were used for the detection of relationship between blood glucose, HbA1C and palm perspiration rate as a non-invasive measurement technique. For this purpose, a comparative study was realized by using feed

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