Non-Invasive Glucometer of Automatic Measurement of the Glucose Level in Blood
Turapov U.U.1, Isroilov U.B.2, Guliev A.A.3, Muldanov F.R.4
1Turapov U.U.*, Department of Fundamentals of Informatic, Jizzakh Polytechnic Institute., Jizzakh, Uzbekistan.
2Isroilov U.B., Department of Information Technology in Education, Jizzakh state pedagogical institute, Jizzakh, Uzbekistan.
3Guliev A.A., Department of Fundamentals of Informatic, Jizzakh Polytechnic Institute., Jizzakh, Uzbekistan.
4Muldanov F.R., Department of Radio Electronics, Jizzakh Polytechnic Institute., Jizzakh, Uzbekistan.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 3331-3336 | Volume-9 Issue-3, February 2020. | Retrieval Number: B2501129219/2020©BEIESP| DOI: 10.35940/ijeat.B2501.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This article aims to create a non-invasive method for determining glucose levels in diabetes to prevent diabetes. A non-invasive glucometer is aimed at creating a detection concept based on the biophysical parameters of biologically active points. When developing non-invasive fluorescence, experiments were carried out on healthy people and patients with two types of diabetes, confirmed by mathematical and statistical methods that correlate the amount of glucose in the blood and biophysical parameters at biologically active points.
Keywords: Biofact active points, igloreflexotherapy, statistical processing, datasheet.