achieve simpleness, and can significantly improve predictive accuracy when the power coefficient is fit. This method is the expansion of the traditional method of partial least squares (PLS). In the present paper, the method of continuum power regression can improve the predictive accuracy of noninvasive measurement of human blood glucose concentration with near infrared spectroscopy. As a result of the signal being upgraded to fulfill the objective of recognition, distinct information reappears and exhibits different waveforms.Īccurate measurement of human blood glucose concentration is very significant for the treatment of diabetes. At the input end, the infrared amplifier circuit receives a current signal with a frequency of 1 Hz and an amplitude of 5 uA and performs the reproduction experiment using Multisim. At various pins on the first AD844AN, the infrared electronic filter circuit receives an alternating current source voltage of 1000V with a basic signal frequency of 60 Hz. And the infrared alcohol identification circuit was composed of multiple circuits in series and parallel. It was composed of an infrared acquisition circuit, an infrared electronic filter circuit, and an infrared amplifier circuit.
Finally, using transmission technology and an infrared emitter and receiver, an infrared alcohol identification circuit was designed by NBohr’s Law and the Correcting Beer-Lambert Law. The principle of infrared blood glucose noninvasive detection was investigated, and it was compared with infrared spectrum detection.
Therefore, infrared alcohol detection was studied. The detection of a driver’s alcohol concentration has become the focus of attention. Because the number of private cars has expanded, drunk driving has become more and more frequent.
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