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Noninvasive Glucose Measurement Using Machine Learning and Neural Network Methods and Correlation with Heart Rate Variability.

, , , , , , , , , and . J. Sensors, (2020)

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Trends from Minimally Invasive to Non-invasive Glucose Measurements., , , , , , , and . MIPRO, page 315-320. IEEE, (2020)ECGalert: A Heart Attack Alerting System., , and . ICT Innovations, volume 778 of Communications in Computer and Information Science, page 27-36. Springer, (2017)Internet Addiction: Evaluating the Psychometric Properties of the IAT in Macedonia., and . ICT Innovations, volume 665 of Advances in Intelligent Systems and Computing, page 165-172. Springer, (2016)Noninvasive Glucose Measurement Using Machine Learning and Neural Network Methods and Correlation with Heart Rate Variability., , , , , , , , , and . J. Sensors, (2020)Age and Gender Impact on Heart Rate Variability towards Noninvasive Glucose Measurement., , , , , and . Sensors, 23 (21): 8697 (October 2023)3D Printing Assistive Devices., , , and . MONAMI, volume 141 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 446-456. Springer, (2014)Smart home environment aimed for people with physical disabilities., , , and . ICCP, page 13-18. IEEE, (2016)