Beyond The Prick: The Hardware Revolution in Glucose Monitoring

V.K.R.Rajeswari Satuluri 1 [/], Vijayakumar Ponnusamy2, Emilija Kisić 3, and Nemanja Zdravković3
1 Department of Computer Science Engineering-AI&ML, Dayananda Sagar University, Harohalli,562112, Karnataka, India
2 Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur,603203, Tamil Nadu, India
3 Faculty of Information Technology, Belgrade Metropolitan University, Serbia
rajeswari.s-aiml@dsu.edu.in
vijayakp@srmist.edu.in
 emilija.kisic@metropolitan.ac.rs
nemanja.zdravkovic@metropolitan.ac.rs
DOI: 10.46793/BISEC25.372R

 

ABSTRACT: Diabetes Mellitus (DM), a chronic metabolic disorder is glob-ally in rise and demands effective and continuous management. Tradi-tional methods of managing diagnosis is through pathology laboratories or from home monitoring kit. These methods are invasive and have a drawback of infection, expensive, and provide only intermittent measure-ments. To overcome these limitations, noninvasive techniques for mea-suring Blood Glucose (BG) are thoroughly studied. This paper presents a comprehensive review of the current state-of-art in the field of noninva-sive glucose monitoring integrated with Artificial Intelligence (AI). Spe-cial emphasis is given to the studies related to Near Infrared Spectroscopy (NIR) which is the most sought out methodology for noninvasive glucose monitoring. This paper presents the system’s circuit design, hardware implementation, and workflow along with the experimental results. The paper is concludes by highlighting the major challenges identified in the literature and proposing future research directions to overcome existing limitations.

KEYWORDS: blood glucose monitoring · diabetes mellitus · hardware de-sign · noninvasive measurement · NIR spectroscopy · optical method

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