D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients

Md. Mahbub Alam; Swapnil Saha; Proshib Saha; Fernaz Narin Nur; Nazmun Nessa Moon; Asif Karim; Sami Azam

doi:10.1007/978-981-13-7564-4_38

D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients

Md. Mahbub Alam, Swapnil Saha, Proshib Saha, Fernaz Narin Nur, Nazmun Nessa Moon, Asif Karim, Sami Azam

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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.

Original language	English
Title of host publication	Proceedings of International Joint Conference on Computational Intelligence
Subtitle of host publication	IJCCI 2018
Editors	Mohammad Shorif Uddin, Jagdish Chand Bansal
Place of Publication	Singapore
Publisher	Springer Singapore
Chapter	38
Pages	443-453
Number of pages	11
ISBN (Electronic)	978-981-13-7564-4
ISBN (Print)	978-981-13-7563-7
DOIs	https://doi.org/10.1007/978-981-13-7564-4_38
Publication status	Published - 4 Jul 2019
Event	10th International Joint Conference on Computational Intelligence - Daffodil International University, Dhaka, Bangladesh Duration: 14 Dec 2018 → 15 Dec 2018 Conference number: 10 http://International Joint Conference on Computational Intelligence (IJCCI 2018)

Publication series

Name	Algorithms for Intelligent Systems (AIS)

Conference

Conference	10th International Joint Conference on Computational Intelligence
Abbreviated title	IJCCI 2018
Country/Territory	Bangladesh
City	Dhaka
Period	14/12/18 → 15/12/18
Internet address	http://International Joint Conference on Computational Intelligence (IJCCI 2018)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-13-7564-4_38

Cite this

Alam, M. M., Saha, S., Saha, P., Nur, F. N., Moon, N. N., Karim, A., & Azam, S. (2019). D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients. In M. S. Uddin, & J. C. Bansal (Eds.), Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2018 (pp. 443-453). (Algorithms for Intelligent Systems (AIS)). Springer Singapore. https://doi.org/10.1007/978-981-13-7564-4_38

Alam, Md. Mahbub ; Saha, Swapnil ; Saha, Proshib et al. / D-CARE : A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients. Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2018. editor / Mohammad Shorif Uddin ; Jagdish Chand Bansal. Singapore : Springer Singapore, 2019. pp. 443-453 (Algorithms for Intelligent Systems (AIS)).

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title = "D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients",

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 {\textquoteleft}solution{\textquoteright}. 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.",

keywords = "Non-invasive glucose measure, near infrared, photodiode, GSM module, Microcontroller (Arduino UNO)",

author = "Alam, {Md. Mahbub} and Swapnil Saha and Proshib Saha and Nur, {Fernaz Narin} and Moon, {Nazmun Nessa} and Asif Karim and Sami Azam",

year = "2019",

month = jul,

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doi = "10.1007/978-981-13-7564-4_38",

language = "English",

isbn = "978-981-13-7563-7",

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publisher = "Springer Singapore",

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editor = "Uddin, {Mohammad Shorif} and Bansal, {Jagdish Chand}",

booktitle = "Proceedings of International Joint Conference on Computational Intelligence",

note = "10th International Joint Conference on Computational Intelligence, IJCCI 2018 ; Conference date: 14-12-2018 Through 15-12-2018",

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Alam, MM, Saha, S, Saha, P, Nur, FN, Moon, NN, Karim, A & Azam, S 2019, D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients. in MS Uddin & JC Bansal (eds), Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2018. Algorithms for Intelligent Systems (AIS), Springer Singapore, Singapore, pp. 443-453, 10th International Joint Conference on Computational Intelligence, Dhaka, Bangladesh, 14/12/18. https://doi.org/10.1007/978-981-13-7564-4_38

D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients. / Alam, Md. Mahbub; Saha, Swapnil; Saha, Proshib et al.
Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2018. ed. / Mohammad Shorif Uddin; Jagdish Chand Bansal. Singapore: Springer Singapore, 2019. p. 443-453 (Algorithms for Intelligent Systems (AIS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

TY - GEN

T1 - D-CARE

T2 - 10th International Joint Conference on Computational Intelligence

AU - Alam, Md. Mahbub

AU - Saha, Swapnil

AU - Saha, Proshib

AU - Nur, Fernaz Narin

AU - Moon, Nazmun Nessa

AU - Karim, Asif

AU - Azam, Sami

N1 - Conference code: 10

PY - 2019/7/4

Y1 - 2019/7/4

N2 - 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.

AB - 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.

KW - Non-invasive glucose measure

KW - near infrared

KW - photodiode

KW - GSM module

KW - Microcontroller (Arduino UNO)

U2 - 10.1007/978-981-13-7564-4_38

DO - 10.1007/978-981-13-7564-4_38

M3 - Conference Paper published in Proceedings

SN - 978-981-13-7563-7

T3 - Algorithms for Intelligent Systems (AIS)

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EP - 453

BT - Proceedings of International Joint Conference on Computational Intelligence

A2 - Uddin, Mohammad Shorif

A2 - Bansal, Jagdish Chand

PB - Springer Singapore

CY - Singapore

Y2 - 14 December 2018 through 15 December 2018

ER -

Alam MM, Saha S, Saha P, Nur FN, Moon NN, Karim A et al. D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients. In Uddin MS, Bansal JC, editors, Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2018. Singapore: Springer Singapore. 2019. p. 443-453. (Algorithms for Intelligent Systems (AIS)). doi: 10.1007/978-981-13-7564-4_38

D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients

Abstract

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