21 Papers
58 Citations
Prateek Jain is an academic researcher from Malaviya National Institute of Technology, Jaipur. The author has contributed to research in topics: Glucose Measurement & Blood Glucose Measurement. The author has an hindex of 6, co-authored 16 publications.
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Papers
iGLU 2.0: A New Wearable for Accurate Non-Invasive Continuous Serum Glucose Measurement in IoMT Framework
TL;DR: A novel wearable non-invasive consumer device (called iGLU 2.0) which can be used by consumers for accurate continuous blood glucose monitoring and is incorporated with Internet-of-Medical-Things (IoMT) for smart healthcare.
iGLU: An Intelligent Device for Accurate Noninvasive Blood Glucose-Level Monitoring in Smart Healthcare
TL;DR: A novel Internet-of-Medical-Things enabled edge-device for precise, noninvasive blood glucose measurement based on near-infrared (NIR) spectroscopy and a machine learning model of high accuracy is introduced.
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A precise non-invasive blood glucose measurement system using NIR spectroscopy and Huber’s regression model
TL;DR: An efficient NIR wave based optical detection system is proposed with optimized post-processing regression model and it has been found that the coefficient of determination ($R^{2}$$R2) is improved with the value of 0.9084 using proposed regression model.
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Machine learning models for non-invasive glucose measurement: towards diabetes management in smart healthcare
TL;DR: In this article , the authors present machine learning models for non-invasive glucose measurement, including Logistic Regression, KNN, Gaussian Naive Bayes, Linear Regression and Multi-polynomial Regression.
iGLU 3.0: A Secure Noninvasive Glucometer and Automatic Insulin Delivery System in IoMT
TL;DR: The physical unclonable function (PUF) based security solution is developed for non-invasive glucometer iGLU and insulin pump for safe insulin secretion and PUF based Hardware-Assisted Security (HAS) is helpful to mitigate challenges which are present in automatic insulin delivery with i GLU.
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