Design and Implementation of Non-Invasive Technique Blood Glucose and Cholesterol Detection Using Machine Learning
Author:
Affiliation:
1. M.Kumarasamy College of Engineering,Dept. of Electrical and Electronics Engineering,Karur,,TamilNadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10110035/10110038/10110151.pdf?arnumber=10110151
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3. A study on non-invasive blood glucose estimation — An approach using capacitance measurement technique
4. A novel approach to non-invasive blood glucose measurement based on RF transmission
5. Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices
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1. Learned prediction of cholesterol and glucose using ARIMA and LSTM models – A comparison;Results in Control and Optimization;2024-03
2. Review of Non-Invasive Analysis of Blood Components;IFMBE Proceedings;2024
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