Abstract
In the context of twenty-first century, diabetes is one of the most lethal diseases from which millions of people of different age levels are suffering. It is imperative for a diabetes patient to maintain the blood glucose level all times as there is no stable solution for this disease. However, the infants and the elderly, suffering from diabetes might not have the notion of maintaining the level of sugar in their blood. So, constant monitoring of the patient has become the most feasible ‘solution’. But the traditional method for measuring blood glucose level is not a viable option for constant blood glucose monitoring. Even if this invasive method is more accurate, it is painful and also there is a risk of infection, although minimal. That is why the non-invasive method seems to be a reasonable option for the ongoing monitoring of blood glucose. For constant remote collection and monitoring of the data obtained from the diabetes patient, an IoT-based non-invasive monitoring system has been proposed in this research that can be a great aid, besides the invasive method for constant monitoring purposes.
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References
Akter S, Rahman MM, Abe SK, Sultana P (2014) Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey. Bull World Health Organ 92(3):204–213A
Bangladesh: Diabetes Mellitus. https://www.worldlifeexpectancy.com/bangladesh-Diabetes-mellitus. Last Accessed 10 Oct 2018
Nur FN, Moon NN (2012) Health care system based on Cloud Computing. Asian Trans Comput 2(5):9–11
Daarani P, Kavithamani A (2017) Blood glucose level monitoring by noninvasive method using near infrared sensor. Int J Latest Trends Eng Technol 141–147
Saifuzzaman M, Khan AH, Moon NN, Nur FN (2017) Smart security for an organization based on IoT. Int J Comput Appl (0975 – 8887) 165(10)
Saifuzzaman M, Moon NN, Nur FN (2017) IoT based street lighting and traffic management system. In: Region 10 humanitarian technology conference. IEEE R10HTC, BUET, Dhaka, Bangladesh
Yadav J, Rani A, Singh V, Murari BM (2015) Comparative study of different measurement sites using NIR based non-invasive glucose measurement system. In: 4th International conference on eco-friendly computing and communication systems (ICECCS). Procedia computer science, vol 70. Elsevier, pp 469–475
Buda RA, Addi MM (2014) A portable non-invasive blood glucose monitoring device. In: Conference on Biomedical Engineering and Sciences (IECBES). IEEE
Rahmat MAA, Su ELM, Addi MM, Yeong CF (2017) GluQo: IoT-based non-invasive blood glucose monitoring. J Telecommun Electron Comput Eng 9(3–9):71–75
Saleh G, Alkaabi F, Al-Hajhouj N, Al-Towailib F, Al-Hamza S (2018) Design of noninvasive glucose meter using near infrared technique. J Med Eng Technol 42(2):140–147
Yadav J, Rani A, Singh V, Murari BM (2014) Near-infrared LED based noninvasive blood glucose sensor. In: International conference on signal processing and integrated networks (SPIN), Noida, India
Bobade CD, Patil Dr. MS (2016) Non-invasive monitoring of glucose level in blood using near-infrared spectroscopy. Int J Recent Trends Eng Res (IJRTER) 2(6),2455–1457
Narkhede P, Dhalwar S, Karthikeyan B (2016) NIR based non-invasive blood glucose measurement. Indian J Sci Technol 9(41):98996
Hotmartua R, Pangestu PW, Zakaria H, Irawan YS (2015) Noninvasive blood glucose detection using near infrared sensor. In: International conference on electrical engineering and informatics (ICEEI), Denpasar, Bali, Indonesia
Lawand K, Parihar M, Patil SN (2015) Design and development of infrared led based non invasive blood glucometer. In: Annual IEEE India conference (INDICON). IEEE, New Delhi, India
Menon KAU, Hemachandran D, Kunnath AT (2013) Voltage intensity based non-invasive blood glucose monitoring. In: Fourth international conference on computing, communications and networking technologies (ICCCNT). IEEE, Tiruchengode, India
Gai A, Azam S, Shanmugam B, Jonkman M, Boer FD (2018) Categorisation of security threats for smart home appliances. In: International conference on computer communication and informatics. IEEE (In Press)
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Alam, M.M. et al. (2020). D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients. In: Uddin, M., Bansal, J. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-7564-4_38
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DOI: https://doi.org/10.1007/978-981-13-7564-4_38
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