Laser Based Non-Invasive Glucose Monitoring System with Automatic Insulin Injector
DOI:
https://doi.org/10.15662/IJEETR.2026.0802268Keywords:
Non-Invasive Glucose Monitoring, Laser-Based Sensing, IoT Healthcare, Automated Insulin Delivery, Diabetes ManagementAbstract
Traditional finger-prick glucose monitoring is painful, invasive, and increases infection risk •Proposed system uses red laser light (650 nm) for non-invasive glucose detection •Red laser provides ~30× higher tissue transmittance than NIR methods •Achieves fast response time (7–10 seconds) with high accuracy and linearity •Glucose level estimated from laser light absorption and scattering in tissue •Integrated with IoT for real-time data transmission and cloud storage •Mobile app enables remote glucose monitoring and insulin dosage adjustment •Improves patient comfort, continuous monitoring, and personalized diabetes care.References
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72. Mathew, A. (2024). AI TRiSM: Trust, Risk, and Security Management in Cybersecurity. Cybersecurity, 4(3), 84-90.
73. Mathew, A. (2025). Deep seek vs. ChatGPT: A deep dive into AI Language mastery. Int J Multidisciplinary Res, 7(1), 1-5.
