Smartphone Based Non-Invasive Glucose Monitoring

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-3
Year of Publication : 2019
Authors : Sathiyanarayanan, Sivagnanam.R, Smrithisri.V.K, Dr.V.Thulasi Bai
DOI :  10.14445/22315381/IJETT-V67I3P223

Citation 

MLA Style: Sathiyanarayanan, Sivagnanam.R, Smrithisri.V.K, Dr.V.Thulasi Bai "Smartphone Based Non-Invasive Glucose Monitoring" International Journal of Engineering Trends and Technology 67.3 (2019): 119-123.

APA Style:Sathiyanarayanan, Sivagnanam.R, Smrithisri.V.K, Dr.V.Thulasi Bai (2019). Smartphone Based Non-Invasive Glucose Monitoring. International Journal of Engineering Trends and Technology, 67(3), 119-123.

Abstract
Diabetes is a standout amongst the most extending disease around the world. It is a non-treatable sickness, yet sugar levels can be kept in charge by keeping up appropriate eating regimens and ordinary checking of the glucose esteem. The regular strategies performed in medical clinics are obtrusive technique, which are difficult and can make infections patients. In this manner, to defeat such issues, the non-obtrusive technique is proposed. In this paper, we have proposed a model which can be cost effective and non-obtrusive prototype utilizing NIR spectroscopy methodology. Also, Mobile application is utilized to show the Glucose esteem and to store the estimated data for future records. Through which the client can distinguish the glucose level to keep up the regiment regimen at opportune time.

Reference
[1] Mohi-ud-din Q,” GSM based Needleless Blood Glucose Monitoring System”, Journal of Bioengineer in & Biomedical Science, Volume 7 • Issue 2 • 100023, 2017.
[2] Tamar Lin, Yulia Mayzel & Karnit Bahartan, “The accuracy of a non-invasive glucose monitoring device does not depend on clinical characteristics of people with type 2 diabetes mellitus”, JOURNAL OF DRUG ASSESSMENT 2018, VOL. 7, NO. 1.
[3] Sreekala Suseela and Parveen Wahid,” Non- invasive monitoring of blood glucose using saliva as a diagnostic fluid”, 978-1-5386-6133-8/18/$31.00 ©2018 IEEE.
[4] Hui Zheng, Jing He, Peng Li, et al, “Glucose screening Measurement and noninvasive Glucose monitor methods”, Procedia Computer Science Elsevier-139 (2018) 613-621.
[5] Sarah Ali Siddiqui, Yuan Zhang,” Pain-free Blood Glucose Monitoring Using Wearable Sensors”, IEEE Reviews in Biomedical Engineering, 2017.
[6] M. A. Pleitez, T. Lieblein, A. Bauer, O. Hertzberg, H. von Lilienfeld-Toal, W. Mäntele, "Windowless ultrasound photoacoustic cell for in vivo mid-IR spec-troscopy of human epidermis", Rev. Sci. Instrum., vol. 84,2017.
[7] Dachao Li; Haixia Yu; Xian Huang; Fuxiang Huang; Xiaotang Hu; Kexin Xu,” Prediction of blood glucose using interstitial fluid extracted by ultrasound and vacuum”, Proceedings of SPIE - The International Society for Optical Engineering 6445 · February 2007.
[8] Emma Young,” Non-invasive glucose monitoring for diabetes: five strategies under development”, The Pharmaceutical Journal 12 OCT 2017.
[9] Shyqyri Haxha; Jaspreet Jhoja,” Optical Based Noninvasive Glucose Monitoring Sensor Prototype”, IEEE Photonics Journal, Volume: 8, Issue: 6,2015.
[10] Jyoti Yadav, Asha Rani, Vijander Singh, Bhaskar Mohan Murari,” Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy”, Biomedical Signal Processing and Control 18, Elsevier-214–227, 2015.
[11] Jyoti Yadav, Asha Rani, Vijander Singh, Bhaskar Mohan Murari,” Comparative study of different measurement sitesusing NIR based non-invasive glucose measurement system”,14th ICECCS, Elsevier-469-475, 2015.
[12] Hui-Chen Wang, An-Rong Lee,”Recent developments in blood glucose sensors”, Journal of food and drug analysis 23 (2015) 191-200.
[13] Wenjun Zhang, Yunqing Du, Ming L.Wang,“Noninvasive glucose monitoring using saliva nano-biosensor”, Sensing and bio-sensing research 4 Elsevier-(2015) 23-29.
[14] Jyoti Yadav, Asha Rani, Vijander Singh,Bhaskar Mohan Murari,”Near-infrared LED based Non-invasive Blood Glucose Sensor”, 2014 International Conference on Signal Processing and Integrated Networks (SPIN), IEEE.
[15] Tierney MJ, Tamada JA, Potts RO, Jovanovic L, Garg S” Clinical evaluation of the GlucoWatch biographer: a continual, non-invasive glucose monitor for patients with diabetes”, Biosensors and Bioelectronics, Volume 16, Issues 9–12, December 2001, Pages 621-629,Elsevier.
[16] K A Unnikrishna Menon, Deepak Hemachandran, Abishek Thekkeyil Kunnath,” Voltage Intensity Based Non-Invasive Blood Glucose Monitoring”,4th ICCCNT - 2013 July, Tiruchengode, IEEE-31661.

Keywords
Diabetes, Arduino Nano, Bluetooth module, Blood Glucose, Non-invasive, Mobile App, NIR spectroscopy, Machine learning