{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T12:42:39Z","timestamp":1777552959851,"version":"3.51.4"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2019,8,31]],"date-time":"2019-08-31T00:00:00Z","timestamp":1567209600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,31]],"date-time":"2019-08-31T00:00:00Z","timestamp":1567209600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100010198","name":"Ministerio de Econom\u00eda, Industria y Competitividad, Gobierno de Espa\u00f1a","doi-asserted-by":"publisher","award":["DPI2016-80391-C3-2-R"],"award-info":[{"award-number":["DPI2016-80391-C3-2-R"]}],"id":[{"id":"10.13039\/501100010198","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010198","name":"Ministerio de Econom\u00eda, Industria y Competitividad, Gobierno de Espa\u00f1a","doi-asserted-by":"publisher","award":["FPU14\/00401"],"award-info":[{"award-number":["FPU14\/00401"]}],"id":[{"id":"10.13039\/501100010198","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1007\/s11517-019-02030-w","type":"journal-article","created":{"date-parts":[[2019,8,31]],"date-time":"2019-08-31T11:22:47Z","timestamp":1567250567000},"page":"2389-2405","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Feasibility study of portable microwave microstrip open-loop resonator for non-invasive blood glucose level sensing: proof of concept"],"prefix":"10.1007","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0793-7958","authenticated-orcid":false,"given":"Carlos G.","family":"Juan","sequence":"first","affiliation":[]},{"given":"H\u00e9ctor","family":"Garc\u00eda","sequence":"additional","affiliation":[]},{"given":"Ernesto","family":"\u00c1vila-Navarro","sequence":"additional","affiliation":[]},{"given":"Enrique","family":"Bronchalo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6997-9953","authenticated-orcid":false,"given":"Vicente","family":"Galiano","sequence":"additional","affiliation":[]},{"given":"\u00d3scar","family":"Moreno","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8231-2635","authenticated-orcid":false,"given":"Domingo","family":"Orozco","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3890-6225","authenticated-orcid":false,"given":"Jos\u00e9 Mar\u00eda","family":"Sabater-Navarro","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,31]]},"reference":[{"key":"2030_CR1","volume-title":"Global report on diabetes","author":"World Health Organization","year":"2016","unstructured":"World Health Organization (2016) Global report on diabetes. Switzerland, Geneva"},{"issue":"5","key":"2030_CR2","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1177\/193229680800200526","volume":"2","author":"L Heinemann","year":"2008","unstructured":"Heinemann L (2008) Finger pricking and pain: a never ending story. J Diabetes Sci Technol 2(5):919\u2013921. \n                    https:\/\/doi.org\/10.1177\/193229680800200526","journal-title":"J Diabetes Sci Technol"},{"issue":"6","key":"2030_CR3","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1177\/1932296816653411","volume":"10","author":"CAJ van Beers","year":"2016","unstructured":"van Beers CAJ, DeVries JH (2016) Continuous glucose monitoring: impact on hypoglycemia. J Diabetes Sci Technol 10(6):251\u20131258. \n                    https:\/\/doi.org\/10.1177\/1932296816653411","journal-title":"J Diabetes Sci Technol"},{"issue":"2","key":"2030_CR4","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1177\/1932296817731423","volume":"12","author":"K Fortwaengler","year":"2018","unstructured":"Fortwaengler K, Campos-N\u00e1\u00f1ez E, Parkin CG, Breton MD (2018) The financial impact of inaccurate blood glucose monitoring systems. J Diabetes Sci Technol 12(2):318\u2013324. \n                    https:\/\/doi.org\/10.1177\/1932296817731423","journal-title":"J Diabetes Sci Technol"},{"issue":"4","key":"2030_CR5","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1177\/1932296818777265","volume":"12","author":"M Gill","year":"2018","unstructured":"Gill M, Zhu C, Shah M, Chhabra H (2018) Health care costs, hospital admissions, and glycemic control using a standalone, real-time, continuous glucose monitoring system in commercially insured patients with type 1 diabetes. J Diabetes Sci Technol 12(4):800\u2013807. \n                    https:\/\/doi.org\/10.1177\/1932296818777265","journal-title":"J Diabetes Sci Technol"},{"issue":"12","key":"2030_CR6","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1007\/s11517-015-1320-9","volume":"53","author":"K Zarkogianni","year":"2015","unstructured":"Zarkogianni K, Mitsis K, Litsa E, Arredondo M-T, Fico G, Fioravanti A, Nikita KS (2015) Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring. Med Biol Eng Comput 53(12):1333\u20131343. \n                    https:\/\/doi.org\/10.1007\/s11517-015-1320-9","journal-title":"Med Biol Eng Comput"},{"issue":"8","key":"2030_CR7","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1109\/TBME.2014.2387293","volume":"57","author":"C Zhao","year":"2015","unstructured":"Zhao C, Yu C (2015) Rapid model identification for online subcutaneous glucose concentration prediction for new subjects with type 1 diabetes. IEEE Trans Biomed Eng 57(8):1333\u20131344. \n                    https:\/\/doi.org\/10.1109\/TBME.2014.2387293","journal-title":"IEEE Trans Biomed Eng"},{"issue":"12","key":"2030_CR8","doi-asserted-by":"publisher","first-page":"1305","DOI":"10.1007\/s11517-015-1263-1","volume":"53","author":"EI Georga","year":"2015","unstructured":"Georga EI, Protopappas VC, Polyzos D, Fotiadis DI (2015) Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models. Med Biol Eng Comput 53(12):1305\u20131318. \n                    https:\/\/doi.org\/10.1007\/s11517-015-1263-1","journal-title":"Med Biol Eng Comput"},{"key":"2030_CR9","doi-asserted-by":"publisher","first-page":"11857","DOI":"10.1021\/acs.iecr.6b02718","volume":"55","author":"JB Lee","year":"2016","unstructured":"Lee JB, Dassau E, Gondhalekar R, Seborg DE, Pinsker JE, Doyle FJ III (2016) Enhanced model predictive control (empc) strategy for automated glucose control. Ind Eng Chem Res 55:11857\u201311868. \n                    https:\/\/doi.org\/10.1021\/acs.iecr.6b02718","journal-title":"Ind Eng Chem Res"},{"key":"2030_CR10","doi-asserted-by":"publisher","first-page":"303","DOI":"10.2337\/dc17-1604","volume":"41","author":"MB Abraham","year":"2018","unstructured":"Abraham MB, Nicholas JA, Smith GJ, Fairchild JM, King BR, Ambler GR, Cameron FJ, Davis EA, Jones TW (2018) Reduction in hypoglycemia with the predictive low-glucose management system: a long-term randomized controlled trial in adolescents with type 1 diabetes. Diabetes Care 41:303\u2013310. \n                    https:\/\/doi.org\/10.2337\/dc17-1604","journal-title":"Diabetes Care"},{"issue":"1","key":"2030_CR11","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s11517-018-1859-3","volume":"57","author":"EI Georga","year":"2019","unstructured":"Georga EI, Pr\u00edncipe JC, Fotiadis DI (2019) Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters. Med Biol Eng Comput 57(1):27\u201346. \n                    https:\/\/doi.org\/10.1007\/s11517-018-1859-3","journal-title":"Med Biol Eng Comput"},{"issue":"1","key":"2030_CR12","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.cmpb.2010.02.010","volume":"99","author":"A Abu-Rmileh","year":"2010","unstructured":"Abu-Rmileh A, Garcia-Gabin W (2010) Feedforward\u2013feedback multiple predictive controllers for glucose regulation in type 1 diabetes. Comput Methods Prog Biomed 99(1):113\u2013123. \n                    https:\/\/doi.org\/10.1016\/j.cmpb.2010.02.010","journal-title":"Comput Methods Prog Biomed"},{"issue":"2","key":"2030_CR13","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.bspc.2012.09.003","volume":"8","author":"Katrin Lunze","year":"2013","unstructured":"Lunze K, Singh T, Walter M, Brendel MD, Leonhardt S (2013) Blood glucose control algorithms for type 1 diabetic patients: a methodological review. Biomed Signal Process Control 8(2):107\u2013119. \n                    https:\/\/doi.org\/10.1016\/j.bspc.2012.09.003","journal-title":"Biomedical Signal Processing and Control"},{"issue":"4","key":"2030_CR14","doi-asserted-by":"publisher","first-page":"2528","DOI":"10.1021\/cr300387j","volume":"113","author":"SP Nichols","year":"2013","unstructured":"Nichols SP, Koh A, Storm WL, Shin JH, Schoenfisch H (2013) Biocompatible materials for continuous glucose monitoring devices. Chem Rev 113(4):2528\u20132549. \n                    https:\/\/doi.org\/10.1021\/cr300387j","journal-title":"Chem Rev"},{"issue":"3","key":"2030_CR15","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1109\/TBME.2013.2284023","volume":"61","author":"A Facchinetti","year":"2014","unstructured":"Facchinetti A, Del Favero S, Sparacino G, Castle JR, Ward WK, Cobelli C (2014) Modeling the glucose sensor error. IEEE Trans Biomed Eng 61(3):620\u2013629. \n                    https:\/\/doi.org\/10.1109\/TBME.2013.2284023","journal-title":"IEEE Trans Biomed Eng"},{"key":"2030_CR16","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1007\/978-3-319-32703-7_39","volume-title":"XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016","author":"Florian Reiterer","year":"2016","unstructured":"Reiterer F, Polterauer P, Freckmann G, del Re L (2016) Identification of CGM time delays and implications for BG control in T1DM. In IFMBE Proc. XIV Mediterranean Conf on Med and Biol Eng Comp 2016, Paphos, Cyprus, pp 190\u2013195. \n                    https:\/\/doi.org\/10.1007\/978-3-319-32703-7_39"},{"issue":"6","key":"2030_CR17","doi-asserted-by":"publisher","first-page":"1344","DOI":"10.1177\/1932296816642251","volume":"10","author":"Y Du","year":"2016","unstructured":"Du Y, Zhang W, Wang ML (2016) An on-chip disposable salivary glucose sensor for diabetes control. J Diabetes Sci Technol 10(6):1344\u20131352. \n                    https:\/\/doi.org\/10.1177\/1932296816642251","journal-title":"J Diabetes Sci Technol"},{"issue":"4","key":"2030_CR18","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/BF02344732","volume":"43","author":"F Laione","year":"2005","unstructured":"Laione F, Marques JLB (2005) Methodology for hypoglycaemia detection based on the processing, analysis and classification of the electroencephalogram. Med Biol Eng Comput 43(4):501\u2013507. \n                    https:\/\/doi.org\/10.1007\/BF02344732","journal-title":"Med Biol Eng Comput"},{"issue":"3","key":"2030_CR19","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1007\/BF02344706","volume":"42","author":"M Yamaguchi","year":"2004","unstructured":"Yamaguchi M, Kawabata Y, Kambe S, W\u00e5rdell K, Nystrom FH, Naitoh K, Yoshida H (2004) Non-invasive monitoring of gingival crevicular fluid for estimation of blood glucose level. Med Biol Eng Comput 42(3):322\u2013327. \n                    https:\/\/doi.org\/10.1007\/BF02344706","journal-title":"Med Biol Eng Comput"},{"issue":"11","key":"2030_CR20","doi-asserted-by":"publisher","first-page":"2787","DOI":"10.1109\/TBME.2014.2329753","volume":"61","author":"K Yan","year":"2014","unstructured":"Yan K, Zhang D, Wu D, Wei H, Lu G (2014) Design of a breath analysis system for diabetes screening and blood glucose level prediction. IEEE Trans Biomed Eng 61(11):2787\u20132795. \n                    https:\/\/doi.org\/10.1109\/TBME.2014.2329753","journal-title":"IEEE Trans Biomed Eng"},{"issue":"1","key":"2030_CR21","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1109\/JSSC.2011.2170633","volume":"47","author":"Y-T Liao","year":"2012","unstructured":"Liao Y-T, Yao H, Lingley A, Parviz B, Otis BP (2012) A 3-\u03bcW CMOS glucose sensor for wireless contact-lens tear glucose monitoring. IEEE J Solid State Circuits 47(1):335\u2013344. \n                    https:\/\/doi.org\/10.1109\/JSSC.2011.2170633","journal-title":"IEEE J Solid State Circuits"},{"key":"2030_CR22","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1016\/j.bios.2016.12.044","volume":"91","author":"L Chen","year":"2017","unstructured":"Chen L, Tse WH, Chen Y, McDonald MW, Melling J, Zhang J (2017) Nanostructured biosensor for detecting glucose in tear by applying fluorescence resonance energy transfer quenching mechanism. Biosens Bioelectron 91:393\u2013399. \n                    https:\/\/doi.org\/10.1016\/j.bios.2016.12.044","journal-title":"Biosens Bioelectron"},{"issue":"5","key":"2030_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JPHOT.2018.2869944","volume":"10","author":"Susana Novais","year":"2018","unstructured":"Novais S, Ferreira CIA, Ferreira MS, Pinto JL (2018) Optical fiber tip sensor for the measurement of glucose aqueous solutions. IEEE Photonics J 10(5):6803609\u20136803609. \n                    https:\/\/doi.org\/10.1109\/JPHOT.2018.2869944","journal-title":"IEEE Photonics Journal"},{"key":"2030_CR24","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1021\/ac302841f","volume":"85","author":"MA Pleitez","year":"2013","unstructured":"Pleitez MA, Lieblein T, Bauer A, Hertzberg O, Lilienfeld-Toal H, M\u00e4ntele W (2013) In vivo noninvasive monitoring of glucose concentration in human epidermis by mid-infrared pulsed photoacoustic spectroscopy. Anal Chem 85:1013\u20131020. \n                    https:\/\/doi.org\/10.1021\/ac302841f","journal-title":"Anal Chem"},{"key":"2030_CR25","doi-asserted-by":"publisher","unstructured":"Ghazaryan A, Ovsepian SV, Ntziachristos V (2018) Extended near-infrared optoacoustic spectrometry for sensing physiological concentrations of glucose. Front Endocrinol 9(112). \n                    https:\/\/doi.org\/10.3389\/fendo.2018.00112","DOI":"10.3389\/fendo.2018.00112"},{"issue":"6","key":"2030_CR26","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1177\/1932296818798347","volume":"12","author":"T Vahlsing","year":"2018","unstructured":"Vahlsing T, Delbeck S, Leonhardt S, Michael Heise H (2018) Noninvasive monitoring of blood glucose using color-coded photoplethysmographic images of the illuminated fingertip within the visible and near-infrared range: opportunities and questions. J Diabetes Sci Technol 12(6):1169\u20131177. \n                    https:\/\/doi.org\/10.1177\/1932296818798347","journal-title":"J Diabetes Sci Technol"},{"key":"2030_CR27","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1016\/j.bspc.2015.01.005","volume":"18","author":"Jyoti Yadav","year":"2015","unstructured":"Yadav J, Rani A, Singh V, Murari BM (2015) Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy. Biomed Signal Process Control 18:214\u2013227. \n                    https:\/\/doi.org\/10.1016\/j.bspc.2015.01.005","journal-title":"Biomedical Signal Processing and Control"},{"issue":"6","key":"2030_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/diagnostics9010006","volume":"9","author":"T Yilmaz","year":"2019","unstructured":"Yilmaz T, Foster R, Hao Y (2019) Radio-frequency and microwave techniques for non-invasive measurement of blood glucose levels. Diagnostics 9(6):1\u201334. \n                    https:\/\/doi.org\/10.3390\/diagnostics9010006","journal-title":"Diagnostics"},{"key":"2030_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-319-99540-3_1","volume-title":"Modern Sensing Technologies","author":"Jacob Greene","year":"2018","unstructured":"Greene J, Abdullah B, Cullen J, Korostynska O, Louis J, Mason A (2019) Non-invasive monitoring of glycogen in real-time using an electromagnetic sensor. In: Mukhopadhyay S, Jayasundera K, Postolache O (eds) Modern sensing technologies. smart sensors, measurement and instrumentation, vol 29, Springer, pp. 1\u201315. ISBN: 978-3-319-99539-7. \n                    https:\/\/doi.org\/10.1007\/978-3-319-99540-3_1"},{"issue":"1","key":"2030_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11517-018-1887-z","volume":"57","author":"B Amin","year":"2019","unstructured":"Amin B, Elahi MA, Shahzad A, Porter E, McDermott B, O\u2019Halloran M (2019) Dielectric properties of bones for the monitoring of osteoporosis. Med Biol Eng Comput 57(1):1\u201313. \n                    https:\/\/doi.org\/10.1007\/s11517-018-1887-z","journal-title":"Med Biol Eng Comput"},{"key":"2030_CR31","unstructured":"Potelon B, Quendo C, Carr\u00e9 J-L, Chevalier A, Person C, Queffelec P (2014) Electromagnetic signature of glucose in aqueous solutions and human blood. In Proc MEMSWAVE Conf 2014, La Rochelle, France, pp. 4\u20137"},{"key":"2030_CR32","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.bspc.2016.07.011","volume":"31","author":"Carlos G. Juan","year":"2017","unstructured":"Juan CG, Bronchalo E, Torregrosa G, \u00c1vila E, Garc\u00eda N, Sabater-Navarro JM (2017) Dielectric characterization of water glucose solutions using a transmission\/reflection line method. Biomed Signal Process Control 31(1):139\u2013147. \n                    https:\/\/doi.org\/10.1016\/j.bspc.2016.07.011","journal-title":"Biomedical Signal Processing and Control"},{"key":"2030_CR33","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1016\/j.sna.2017.10.029","volume":"267","author":"T Lin","year":"2017","unstructured":"Lin T, Gu S, Lasri T (2017) Highly sensitive characterization of glucose aqueous solution with low concentration: application to broadband dielectric spectroscopy. Sensors Actuators A Phys 267:318\u2013326. \n                    https:\/\/doi.org\/10.1016\/j.sna.2017.10.029","journal-title":"Sensors Actuators A Phys"},{"issue":"11","key":"2030_CR34","doi-asserted-by":"publisher","first-page":"2271","DOI":"10.1088\/0031-9155\/41\/11\/003","volume":"41","author":"S Gabriel","year":"1996","unstructured":"Gabriel S, Lau RW, Gabriel C (1996) The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. Phys Med Biol 41(11):2271\u20132293","journal-title":"Phys Med Biol"},{"key":"2030_CR35","doi-asserted-by":"publisher","first-page":"1505","DOI":"10.1007\/978-3-319-77712-2_146","volume-title":"Advances in Intelligent Systems and Computing","author":"Sandra Costanzo","year":"2018","unstructured":"Costanzo S, Cioffi V, Raffo A (2018) Complex permittivity effect on the performances of non-invasive microwave blood glucose sensing: enhanced model and preliminary results. In Proc WorldCIST'18 2018: Trends and advances in information systems and technologies, Naples, Italy, pp 1505\u20131511. \n                    https:\/\/doi.org\/10.1007\/978-3-319-77712-2_146\n                    \n                  ,"},{"issue":"3","key":"2030_CR36","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1134\/S1064226917030159","volume":"62","author":"MP Parkhomenko","year":"2017","unstructured":"Parkhomenko MP, Savel\u2019ev SV, von Gratovski SV (2017) Analysis of dielectric properties of blood and development of a resonator method for noninvasive measuring of glucose content in blood. J Commun Technol Electron 62(3):267\u2013281. \n                    https:\/\/doi.org\/10.1134\/S1064226917030159","journal-title":"J Commun Technol Electron"},{"issue":"7","key":"2030_CR37","doi-asserted-by":"publisher","first-page":"2621","DOI":"10.1109\/TIM.2018.2866743","volume":"68","author":"CG Juan","year":"2019","unstructured":"Juan CG, Bronchalo E, Potelon B, Quendo C, \u00c1vila-Navarro E, Sabater-Navarro JM (2019) Concentration measurement of microliter-volume water\u2013glucose solutions using Q factor of microwave sensors. IEEE Trans Instrum Meas 68(7):2621\u20132634. \n                    https:\/\/doi.org\/10.1109\/TIM.2018.2866743","journal-title":"IEEE Trans Instrum Meas"},{"key":"2030_CR38","doi-asserted-by":"publisher","unstructured":"Juan CG, Bronchalo E, Torregrosa G, Garcia A, Sabater-Navarro JM (2015) Microwave microstrip resonator for developing a non-invasive glucose sensor. Int J Comput Assist Radiol Surg (CARS) 10(1):172\u2013173. \n                    https:\/\/doi.org\/10.1007\/s11548-015-1213-2","DOI":"10.1007\/s11548-015-1213-2"},{"key":"2030_CR39","doi-asserted-by":"publisher","unstructured":"Jean BR, Green EC, McClung MJ (2008) A microwave frequency sensor for non-invasive blood-glucose measurement. In Proc IEEE Sensors Appl Symp (SAS) 2008, Atlanta, GA, USA \n                    https:\/\/doi.org\/10.1109\/SAS.2008.4472932","DOI":"10.1109\/SAS.2008.4472932"},{"issue":"12","key":"2030_CR40","doi-asserted-by":"publisher","first-page":"3193","DOI":"10.1109\/TMTT.2014.2365019","volume":"62","author":"Tuba Yilmaz","year":"2014","unstructured":"Yilmaz T, Foster R, Hao Y (2014) Towards accurate dielectric property retrieval of biological tissues for blood glucose monitoring. IEEE Trans Microw Theory Tech 62(12):3193\u20133204. \n                    https:\/\/doi.org\/10.1109\/TMTT.2014.2365019","journal-title":"IEEE Transactions on Microwave Theory and Techniques"},{"issue":"10","key":"2030_CR41","doi-asserted-by":"publisher","first-page":"3016","DOI":"10.1109\/TMTT.2015.2472019","volume":"63","author":"Heungjae Choi","year":"2015","unstructured":"Choi H, Naylon J, Luzio S, Beutler J, Birchall J, Martin C, Porch A (2015) Design and in vitro interference test of microwave noninvasive blood glucose monitoring sensor. IEEE Trans Microw Theory Tech 63(10):3016\u20133025. \n                    https:\/\/doi.org\/10.1109\/TMTT.2015.2472019","journal-title":"IEEE Transactions on Microwave Theory and Techniques"},{"key":"2030_CR42","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199686513.001.0001","volume-title":"Dielectric relaxation in biological systems: physical principles, methods and applications","author":"V Raicu","year":"2015","unstructured":"Raicu V, Feldman Y (2015) Dielectric relaxation in biological systems: physical principles, methods and applications. Oxford Univ. Press. ISBN: 9780199686513, Oxford. \n                    https:\/\/doi.org\/10.1093\/acprof:oso\/9780199686513.001.0001"},{"key":"2030_CR43","unstructured":"nBio Research Group (2019) File with_without_plastic.zip. In: Glucolate nBio. Available via \n                    http:\/\/nbio.umh.es\/glucolate\/\n                    \n                  . Accessed 11 July 2019"},{"key":"2030_CR44","unstructured":"Pozar D (1998) Microwave filters. In Pozar D (ed.) Microwave engineering, 2nd edn. John Wiley & Sons, pp. 422\u2013498. ISBN: 0\u2013471\u201317096-8"},{"key":"2030_CR45","doi-asserted-by":"crossref","unstructured":"Garc\u00eda H, Juan CG, \u00c1vila-Navarro E, Bronchalo E, Sabater-Navarro JM (2019) Portable device based on microwave resonator for noninvasive blood glucose monitoring. In 2019 41st Annual Int Conf of the IEEE Eng Med Biol Society (EMBC), Berlin, Germay","DOI":"10.1109\/EMBC.2019.8856934"},{"issue":"4","key":"2030_CR46","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1049\/ip-map:20040521","volume":"151","author":"J.R. Bray","year":"2004","unstructured":"Bray JR, Roy L (2004) Measuring the unloaded, loaded, and external quality factors of one- and two-port resonators using scattering-parameter magnitudes at fractional power levels. IEE Proc-Microw Antennas Propag 151(4):345\u2013350. \n                    https:\/\/doi.org\/10.1049\/ip-map:20040521","journal-title":"IEE Proceedings - Microwaves, Antennas and Propagation"},{"key":"2030_CR47","unstructured":"Kajfez D (2011) Q factor measurements using Matlab. Norwood: Artech House. ISBN: 9781608071616"},{"key":"2030_CR48","unstructured":"nBio Research Group (2019) File all_data.zip. In: Glucolate nBio. Available via \n                    http:\/\/nbio.umh.es\/glucolate\/\n                    \n                  . Accessed 11 July 2019"},{"key":"2030_CR49","doi-asserted-by":"publisher","unstructured":"Turgul V, Kale I (2016) A novel pressure sensing circuit for non-invasive RF\/microwave blood glucose sensors. In 16th Mediterranean Microwave Symposium (MMS), Abu Dhabi, United Arab Emirates. \n                    https:\/\/doi.org\/10.1109\/MMS.2016.7803818","DOI":"10.1109\/MMS.2016.7803818"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-019-02030-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11517-019-02030-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-019-02030-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,29]],"date-time":"2020-08-29T23:15:45Z","timestamp":1598742945000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11517-019-02030-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,31]]},"references-count":49,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2019,11]]}},"alternative-id":["2030"],"URL":"https:\/\/doi.org\/10.1007\/s11517-019-02030-w","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,31]]},"assertion":[{"value":"25 March 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 August 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 August 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the Ethics Committee of Hospital General Universitario de Alicante and Ethics Committee of Hospital Universitatio San Juan de Alicante, as well as with the 1964 Declaration of Helsinki and its later amendments.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}