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Journal of Medical Engineering & Technology Volume 42, 2018 - Issue 2
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Research Article

Design of non-invasive glucose meter using near-infrared technique

Gameel SalehDepartment of Biomedical Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaCorrespondence[email protected]
,
Fatimah AlkaabiDepartment of Biomedical Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
,
Noor Al-HajhoujDepartment of Biomedical Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
,
Fatimah Al-TowailibDepartment of Biomedical Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
&
Safa Al-HamzaDepartment of Biomedical Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Pages 140-147 | Received 24 Oct 2017, Accepted 04 Feb 2018, Published online: 02 Mar 2018

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S. Vanaja, Ravi Babu T, K. Malathi, Kuldeep K Saxena, J. Joselin Jeya Sheela, S. Suruthi, Stalin .B, N. Nagaprasad, Ramaswamy Krishnaraj, Din Bandhu & Uma Reddy. (2024) Non-invasive glucometer monitoring system through optical based near-infrared sensor method. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 12:1.
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Nivad Ahmadian, Annamalai Manickavasagan & Amanat Ali. (2023) Comparative assessment of blood glucose monitoring techniques: a review. Journal of Medical Engineering & Technology 47:2, pages 121-130.
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Articles from other publishers (11)

Mohammad Ahmed Khan, Zainab Nauman, Mahad Farooq & Saima Zafar. (2023) Internet of Things and Machine Learning–based Diabetes Management System. Internet of Things and Machine Learning–based Diabetes Management System.
Quoc-Hung Pham, Thanh-Nhan Nguyen, Anh-Quan Huynh Ba, Hoang-Huy Ngo, Huy-Hoang Vo & Nhut-Thanh Tran. (2023) An Embedded System for Non-Invasive Glucose Monitoring. An Embedded System for Non-Invasive Glucose Monitoring.
Aminah Hina & Wala Saadeh. (2022) Noninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology—A Review. Sensors 22:13, pages 4855.
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Nicholas B. Davison, Christopher J. Gaffney, Jemma G. Kerns & Qiandong D. Zhuang. (2022) Recent Progress and Perspectives on Non-Invasive Glucose Sensors. Diabetology 3:1, pages 56-71.
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Xi Peng, Yi-Xin Yan & He Liu. (2022) On the use of fiber lasers in non-invasive blood glucose monitoring. Optical Fiber Technology 68, pages 102822.
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Gameel Saleh, Ijlal Shahrukh Ateeq & Ibraheem Al-Naib. (2021) Glucose Level Sensing Using Single Asymmetric Split Ring Resonator. Sensors 21:9, pages 2945.
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Ruppert Ian R. Javier, Angelo O. Baloloy, Noel B. Linsangan & Isagani V. Villamor. (2020) Portable Non-Invasive Glucometer using Near-Infrared Sensor and Raspberry Pi. Portable Non-Invasive Glucometer using Near-Infrared Sensor and Raspberry Pi.
Bitewulign Kassa Mekonnen, Webb Yang, Tung-Han Hsieh, Shien-Kuei Liaw & Fu-Liang Yang. (2020) Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy. Biomedical Signal Processing and Control 59, pages 101923.
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Ferdy S. Rondonuwu & Andreas Setiawan. Determination of glucose content with a concentration within the physiological range by FT-NIR spectroscopy in a trans-reflectance mode. Determination of glucose content with a concentration within the physiological range by FT-NIR spectroscopy in a trans-reflectance mode.
Md. Mahbub Alam, Swapnil Saha, Proshib Saha, Fernaz Narin Nur, Nazmun Nessa Moon, Asif Karim & Sami Azam. 2020. Proceedings of International Joint Conference on Computational Intelligence. Proceedings of International Joint Conference on Computational Intelligence 443 453 .
F S Rondonuwu, A Setiawan & F F Karwur. (2019) Determination of glucose concentration in aqueous solution using FT NIR spectroscopy. Journal of Physics: Conference Series 1307:1, pages 012019.
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