The eff ect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The diabetes control and complications trial research group. N Engl J Med. 1993;329(14): 977-986. doi: 10.1056G’nejm199309303291401.
American Diabetes Association. Standards of Medical Care in Diabetes-2015. Chapter 6: Glycemic Targets. Diabetes Care. 2014; 38 (Supplement_1):S33-S40. doi: 10.2337G’dc15-S009.
Dedov II, Shestakova MV, Galstyan GR, et al. Standards of specialized diabetes care. Edited by Dedov II, Shestakova MV. (7th edition). Diabetes mellitus. 2015; 18(1S):1. doi: 10.14341G’dm20151s1-112.
Reach G, Wilson GS. Can continuous glucose monitoring be used for the treatment of diabetes. Anal Chem. 1992; 64(6):381a-386a.
Philippov YI. Continuous monitoring of blood glucose in the practice of endocrinologist. Obesity and Metabolism. 2012 (4): 15-22.
Garg S, Zisser H, Schwartz S, et al. Improvement in glycemic excursions with transcutaneous, real-time continuous glucose sensor: a randomized controlled trial. Diabetes Care. 2006; 29 (1): 44-50.
Vaddiraju S, Tomazos I, Burgess DJ, et al. Emerging synergy between nanotechnology and implantable biosensors: a review. Biosens. Bioelectron. 2010;25(7):1553-1565. doi: 10.1016G’j.bios.2009.12.001.
Renard E. Implantable continuous glucose sensors. Current diabetes reviews. 2008;4(3):169-174. doi: 10.2174G’157339908785294406.
Garg S, Zisser H, Schwartz S, et al. Improvement in glycemic excursions with a transcutaneous, real-time continuous glucose sensor: a randomized controlled trial. Diabetes Care. 2006;29(1):44-50. doi: 10.2337G’diacare.29.01.06.dc05-1686.
Liao KC, Hogen-Esch T, Richmond FJ, et al. Percutaneous fi ber-optic sensor for chronic glucose monitoring in vivo. Biosens. Bioelectron. 2008;23(10):1458-1465. doi: 10.1016G’j.bios.2008.01.012.
Mezentseva M. A., Bukrina T. A. Neinvazivno’e metodo’ izmereniya saxara v krovi G’G’Informatsionno-izmeritelnaya texnika i texnologii: Materialo’ VI Nauchno-prakticheskoy konferentsii s mejdunarodno’m uchastiem, Tomsk, 27-30 Maya 2015. - Tomsk: TPU, 2015 - C. 74- 82.
Ahn W, Kim J-T. Blood Glucose Measurement Principles of Non-invasive Blood Glucose Meter: Focused on the Detection Methods of Blood Glucose. Int J Biomed Eng Technol. 2012; 33(3):114-127. doi: 10.9718G’jber.2012.33.3.114
Khalil OS. Non-invasive glucose measurement technologies: an update from 1999 to the dawn of the new millennium. Diabetes Technol Ther. 2004; 6(5):660-697. doi: 10.1089G’dia.2004.6.660
Integrity Applications [Internet]. Ha’Yahalomim St. Ashdod ISRAEL [updated 2016 Oct 31; cited 2016 Nov 1]. Available from: http:G’G’www.integrity-app.com
Tuchin V.V. Optika biologicheskix tkaney. Metodo’ rasseyaniya sveta v meditsinskoy diagnostike 2-e izd., per. s angl. M.: Fizmatlit, 2013. 811 s. 4.
Larin K.V., Motamedi M., Ashitkov T.V., Esenaliev R.O. G’G’ Phys. Med. Biol. 2003. V. 48. P. 1371.
He R., Wei H., Gu H. et al. G’G’ J. Biomed. Optics. 2012. V. 17(10).
P. 101513-1.
Sigel P.H., Lee Y., Pikov V. G’G’ 39th Int. Conf. Infrared, Millimeter, and Terahertz Waves (IRMMW-THz 2014): proceedings. 2014. T2G’D-8. http:G’G’www.irm_mw_thz2014.orgG’sitesG’defaultG’filesG’T2_D_8.10_Siegel.pdf
Sun C.K., Tsai Y.F., Chen H. G’G’ United States Patent Application Publication. US 2013G’0289370 A1. 2013. http:G’G’www.faqs.orgG’patentsG’appG’2013 0289370#ixzz 3HQzAOszh
ISO 15197:2013. In vitro diagnostic test systems -- Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus. 2013:46.
Clarke WL, Kovatchev B. Continuous Glucose Sensors: Continuing Questions about Clinical Accuracy. J Diabetes Sci Technol. 2007;1(5):669-675. doi: 10.1177G’193229680700100510.
D’Archangelo MJ. New guideline supports the development and evaluation of continuous interstitial glucose monitoring devices. J Diabetes Sci Technol. 2008;2(2):332-334. Pmc2771489.
Kovatchev BP, Gonder-Frederick LA, Cox DJ, Clarke WL. Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data. Diabetes Care. 2004;27(8):1922-1928.
Clarke WL, Cox D, Gonder-Frederick LA, et al. Evaluating clinical accuracy of systems for self-monitoring of blood glucose. Diabetes Care. 1987;10(5):622-628. doi: 10.2337G’diacare.10.5.622.
Oliver NS, Toumazou C, Cass AE, Johnston DG. Glucose sensors: a review of current and emerging technology. Diabet Med. 2009;26(3):197-210. doi: 10.1111G’j.1464-5491.2008.02642.x.
Kovatchev BP, Gonder-Frederick LA, Cox DJ, Clarke WL. Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data. Diabetes Care. 2004;27(8):1922-1928.
Dialekar.ru - vse pro lechenie diabeta. Sravnenie glyukometrov po
tochnosti [Elektronno’y resurs]: portal. -Rejim dostupa: http:G’G’dialekar.ruG’252-
sravnenie-glyukometrov-po-tochnosti-rekomenduyu-modeli-dlya-raznyh-tipov-lyudey.html
Clarke WL, Cox D, Gonder-Frederick LA, et al. Evaluating clinical accuracy of systems for self-monitoring of blood glucose. Diabetes Care. 1987;10(5):622-628. doi: 10.2337G’diacare.10.5.622.
Onuki Y, Bhardwaj U, Papadimitrakopoulos F, Burgess DJ. A review of the biocompatibility of implantable devices: current challenges to overcome foreign body response. J Diabetes Sci Technol. 2008;2(6):1003-1015.
H.M. Heise, R. Marbach, G. Janatsch, J.D. Kruse-Jarres, Determination of Glucose in Whole Blood Attenuated Total Reflection Infrared Spectroscopy,‖ Anal. Chem. 1989: 61, 2009-2015.
Portnov F.G. Elektropunkturnaya refleksoterapiya. - Riga: Zinatne, 1987. –352 s.
Nakatani Y., Yamashuta K. Riodoraku Akupunkture. Japan. Tokyo. 1977.
Huodo M.D. Ruodoraky treatment and objective approach to acupuncture . Amer.Jur. Acupuncture. – 1984. - Vol.12, №3. - pr. 229-238.
Djabbarov K.A. Diagnosticheskoe znachenie issledovaniy elektroprovodnosti i biopotentsialov koji u bolno’x saxarno’m diabetom. Azerb.med.jurnal. – Baku, 1983. - №9. – str. 28-32.
Jonescu-Tirgoveste C., Boyenaru O., Zngrabescu D. Elektric diagnostic in acupuncture. - 1981. - Voll.13. - pr.5-14.
Vin T.W. Avtomated approach to meridian-balensing and electro acupuncture instrumention . Amer.j.acupuncture. - 1977. - Vol.5. - pr. 264.
Guliev A.A., Juraev G.U., Turapov U.U. To ordering the Incoming and outgoing parameters of an Object G’G’ Science and Education in Karakalpakstan. 2021, №3. ISSN 2181-9203. P. 52-55.
Petrovskiy A.B. Uporyadochivanie i klassifikatsiya ob’ektov s protivorechivo’mi priznakami G’G’ Novosti iskusstvennogo intellekta. 2003.
№4. S.34-43.
Boytsov I.V. Elektropunkturnaya diagnostika po "Riodoraku".
–Vitebsk, 1996. – 189 s.
Gafarov Gadir and Rustamova Durdane. Biologically Active Points and Application Possibilities in Medicine. International Journal of Academic Health and Medical Research (IJAHMR) ISSN: 2643-9824. Vol. 6 Issue 11, November - 2022, pp.1-4.
12 Meridians of Chinese Medicine » Big Tree School of Natural healing (bigtreehealing.com) https:G’G’www.bigtreehealing.comG’12-meridians-chinese-medicineG’
Lapchenko, D. A. Teoriya prinyatiya resheniy: uchebno-metodicheskoe posobie dlya studentov spetsialnosti 1-27 01 01 «Ekonomika i organizatsiya proizvodstva (po napravleniyam)» G’ D. A. Lapchenko. –Minsk: BNTU, 2021.
– 62 s.
Demin G.A. Metodo’ prinyatiya upravlencheskix resheniy: ucheb. posobie G’ G. A. Demin. – Perm: Perm. gos. nats. issled. un-t., 2019. – 88 s.
Arnold MA, Small GW. Noninvasive Glucose Sensing. Anal Chem. 2005; 77(17):5429-5439. doi: 10.1021G’ac050429e
Heinemann L, Kramer U, Klotzer HM, et al. Noninvasive glucose measurement by monitoring of scattering coefficient during oral glucose tolerance tests. Non-Invasive Task Force. Diabetes Technol Ther. 2000;2(2):211-220. doi: 10.1089G’15209150050025168
Khalil OS. Non-invasive glucose measurement technologies: an update from 1999 to the dawn of the new millennium. Diabetes Technol Ther. 2004; 6(5):660-697. doi: 10.1089G’dia.2004.6.660
Tura A, Maran A, Pacini G. Non-invasive glucose monitoring: assessment of technologies and devices according to quantitative criteria. Diabetes Res Clin Pract. 2007; 77(1):16-40. doi: 10.1016G’j.diabres.2006.10.027
So C-F, Choi K-S, Wong TKS, et al. Recent advances in noninvasive glucose monitoring. Med Devices (Auckland, N.Z.). 2012; 5:45-52. doi: 10.2147G’MDER. S28134
Elbaeva A.D. Neinvazivno’e metodo’ diagnostiki kontsentratsii glyukozo’ i xolesterina v krovi G’G’ Mejdunarodno’y jurnal prikladno’x i fundamentalno’x issledovaniy. 2016, № 6-2. – S. 301-305.
Carlos Eduardo Ferrante do Amaral. Multiparameter Methods for Non-invasive Measurement of Blood Glucose. Dissertations of a candidate of technical sciences. Mnchen, 2008. 176 s.
Asmat Nawaz, Per Shhlckers, Steinar Sjlid, Morten Jacobsen, M. Nadeem Akram. Non-Invasive Continuous Blood Glucose Measurement Techniques. www.openaccesspub.org, DOI: 10.14302G’issn.2374-9431.jbd-15-647
Andrew C. Ahn, Agatha P. Colbert, Belinda J. Anderson, Trjan G. Martinsen, Richard Hammerschlag, Steve Cina, Peter M.Wayne, and Helene M. Langevin. Electrical Properties of Acupuncture Points and Meridians: A Systematic Review. Bioelectromagnetics 29:245^256 (2008). DOI 10.1002G’bem.20403.Published online 31 January 2008 in Wiley InterScience.
Ahmed H.M. Alternative arithmetic unit architecture for VLSI digital signal processor. In VLSI and Modern Signal Processing, Prentice Hall, Inc., Ehflewood Cliffs, NJ, 1985.
Ayficher, Emmanuil S., Djervis, Barri U. Tsifrovaya obrabotka signalov: prakticheskiy podxod, 2-e izdanie. Per. s angl. – M.: Izdatelskiy dom «Vilyams», 2004 g. – 992 s.: il.
Uidrou B., Stirnz S. Adaptivnaya obrabotka signalov: Per. s angl. – M.: Radio i Svyaz,1989. –440 s.: il
Juraev, G. Rakhimberdiev, K. Mathematical Modeling of Credit Scoring System Based on the Monge-Kantorovich Problem. IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2022, 2022.
Juraev, G., Musurmonova, M. An Algorithm for Solving the Problem of Radial Expansion of a Spherical Cavity Supported by a Thin Spherical Shell in an Elastic-Porous Fluid-Saturated Medium. AIP Conference, 2022, 2432, 030109
Agapova, E.G. Vo’chislitelnaya matematika: uchebnoe posobie G’E.G.Agapova. - Xabarovsk: Izd-vo TOGU, 2017. - 192s. (s. 83 - 85).
Rukkumani V., Radhika V., Sivasankari S., Veera Vanitha. Non Invasive Determination of Blood Group Typing Blood Glucose and Haemoglobin Analysis G’G’Turkish Journal of Computer and Mathematics Education. Vol.12 No.7 (2021), 1506-1509.
Selvakumari, T.M. (2011), Blood Group Detection Using Fiber optics, Armenian Journal of Physics 4, no. 3, pp: 165-168.
Gaurav.S.Mehare, Chetan.G.Pinjarkar, Anup.V.Tembhe, Prof.Nitin.S. (2019), A noninvasive way to determine blood type based on image processing, International Research Journal Of Engineering and Technology, Vol:5.
Mehedi Hasan Talukdar, Md. Mahfuz Reza, Mehbuba Begum, Md. Rabiul Islam, Md. Mahmudul Hasan. (2015), Improvement of accuracy of human blood groups determination using image processing techniques, International Journal of Advance research in Computer and Communication Engineering, Vol:4
2 O‘zbekiston Respublikasi Prezidenti Sh.M.Mirziyoyevning Oliy Majlisga Murojaatnomasi
// “Xalq suzi” gazetasi, 2018 yil 29 dekabr. N№ 271-272 (7229-7230).
3 Dissertatsiya mavzusi bo'yicha ilmiy tadqiqotlar sharhi quyidagi saytlar asosida shakllantirildi: https://www.researchgate.net, www.elsevier.com, https://www.nxp.com, http://www.machine learning.ru, http://www.bmstu.ru, https://www.msu.ru, https://www.bsuir.by, https://habr.com va boshqa manbalar.