A Survey on Technologies Used in Glucose Monitoring for Diabetic Patients
G.Sharmila Student (B.E.) , R.Sushmitha, R.Geetha
In the recent years, there has been a great improvement of technology in engineering as well as medical industries. Even though the technology has increased in the medical field, the patient’s waiting time in hospitals and emergency appointments is extremely costlier nowadays. In the modern lifestyle many people are susceptible to Diabetes Mellitus (DM).The management and monitoring of DM is a challenge for the diabetic patients. This paper surveys about the various methods used in self-monitoring of blood glucose levels pervasively. The devices used for self-monitoring of glucose level are also discussed in this survey. These devices are very useful in the present busy life scenario. The major disadvantage of these devices is that they are expensive and cannot afford by all diabetic patients. An idea can proposed which involves the preparation of the kit which directly calculates the glucose level and automates with an alert message that includes the diet control,exercise control and medication control.
Diabetes Mellitus (DM), Glucose level, selfmonitoring, Devices, Internet of Things (IoT)
 Andrea. Facchinetti, Giovanni Sparacino, Stefania Guerra, Yoeri M. Luijf, J. Hans Devries, Juliak K. Mader, Martin Ellmerer,Carsten Benesch, Lutz Heinemann, Daniela Bruttomesso, Angelo Avogaro, Claudio Cobelli“Real-Time improvement of continuous glucose monitoring accuracy, the smart sensor concept,” Diabetes Care, vol. 36, no. 4, pp. 793–800, 2013.
 Andrea Facchinetti “Continuous Glucose Monitoring Sensors: Past, Present And Future Algorithmic Challenges”Received: 14 October2016; Accepted: 7 December 2016; Published: 9 December 2016.
 Claudio. Cobelli, Chiara Dalla Man, Giovanni Sparacino, Lalo Magni, Giuseppe De Nicalao and Boris P. Kovatchev “Diabetes: Models, signals, and control,”IEEE Rev.Biomed. Eng., vol. 2, pp. 54– 96, Jan. 2009.
 Emmanouil G Spanakis, Franco Chiarugi, Angelina Kouroubali, StephanSpat, Peter Beck, Stefan Asanin, Peter Rosengren, TamasGergely, Jesper Thestrup “Diabetes management using modern information and communication technologies and new caremodels,” Interact. J. Med. Res., vol. 1, no. 2, pp. 1–12, Oct. 2012.
 Jerome Place ,Antoine Robert,Najib Ben Brahim,Patrick Keith-Hynes,Anne Farret,MarieJosée Pelletier,Bruce Buckingham,Marc Breton,Boris Kovatchev,and Eric Renard “DiAs web monitoring: A real-time remote monitoring system designed for artificial pancreas outpatient trials,” J. Diabetes Sci. Technol., vol. 7, no. 6, pp. 1427–1435, Nov. 2013.
 JesperThestrup,TamasGergely, Peter Beck “Exploring New Care Models In Diabetic Management And Therapy With A Wireless Mobile E-Health Platform”
 NurulAkmalBintiAbd Salman, Wira Hidayat bin Mohd Saad, Zahariah Binti Manap, Fauziyah bte Salehuddin “The Evolution Of Non-Invasive Blood Glucose Monitoring System For Personal Application,” vol. 8,No.1 January- April 2016.
 Pérez-Gandia C, A Facchinetti, G. Sparacino,C. Cobelli, E.J. Gomeez, M. Rigla, A. de Leiva, M.E. Hernando“Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring Diabetes” TechnolTher 2010;12:81– 88.
 Riccardo Bellazzi, “Telemedicine and diabetes management: Current challenges and future research directions,” J. Diabetes Sci. Technol., vol. 2, no. 1, pp. 98–104, Jan. 2008.
Sandeep KumarVashist, “Continuous glucose monitoring systems: A review,” Diagnostics, vol. 3, pp. 385–412, Oct. 2013.
Shankaracharya, DevangOdedra, Subir Samanta, Ambarish S. Vidyarthi “Computational intelligence in early diabetes diagnosis: A review,” Rev. Diabetic Stud., vol. 7, no. 4, pp. 252–262, Feb. 2010.
Stavroula G. Mougiakakou, Christos S. Bartsocas, Evangelos Bozas, Nikos Chaniotakis,Dimitra Iliopoulou, Ioannis Kouris, Sotiris Pavlopoulos, Aikaterini Prountzou, Marios Skevofilakas,Alexandre Tsoukalis, Kostas Varotsis, Andrianni Vazeou, Konstantia Zarkogianni,and Konstantina S. Nikita “SMARTDIAB: A communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients,” IEEE Trans. Inf. Technol. Biomed., vol. 14, no. 3, pp. 622–633, May 2010
[G.Sharmila Student (B.E.) , R.Sushmitha, R.Geetha (2017) A Survey on Technologies Used in Glucose Monitoring for Diabetic Patients IJIRCST Vol-5 Issue-2 Page No-242-246] (ISSN 2347 - 5552). www.ijircst.org
G.Sharmila Student (B.E.)
Department of Computer Science & Engineering, S.A. Engineering College, Chennai, Tamil Nadu, India