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Trends from Minimally Invasive to Non-invasive Glucose Measurements., , , , , , , and . MIPRO, page 315-320. IEEE, (2020)Distribution Analysis of Long-Term Heart Rate Variability Versus Blood Glucose., , , , and . MIPRO, page 328-333. IEEE, (2021)Design of a Non-invasive ECG-based Glucose Measurement System., , and . MIPRO, page 303-308. IEEE, (2020)Age and Gender Impact on Heart Rate Variability towards Noninvasive Glucose Measurement., , , , , and . Sensors, 23 (21): 8697 (October 2023)Noninvasive Glucose Measurement Using Machine Learning and Neural Network Methods and Correlation with Heart Rate Variability., , , , , , , , , and . J. Sensors, (2020)Developing A Deep Learning Solution to Estimate Instantaneous Glucose Level from Heart Rate Variability., , , , and . MIPRO, page 340-345. IEEE, (2021)Evaluation of User Satisfaction with the ECGalert System., , and . MIPRO, page 336-341. IEEE, (2019)Correlating Glucose Regulation with Lipid Profile., , , and . ICT Innovations, volume 1316 of Communications in Computer and Information Science, page 217-227. Springer, (2020)Comparing Time and Frequency Domain Heart Rate Variability for Deep Learning-Based Glucose Detection., , , , and . ICT Innovations, volume 1521 of Communications in Computer and Information Science, page 188-197. Springer, (2021)