FPGA Implementation of Multivariate Support Vector Regression for Non-invasive Blood Glucose Estimation Using IoMT Framework-Reference-Cited by-同舟云学术

FPGA Implementation of Multivariate Support Vector Regression for Non-invasive Blood Glucose Estimation Using IoMT Framework

Published:2022 Issue: Volume: Page:77-90
ISSN:2522-8595
Container-title:IoT Applications for Healthcare Systems
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Author:

Joshi Amit M.,Divya Kordana,Chhajed Hemlata,Kamal Rakam Sai

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-91096-9_4

Reference28 articles.

1. P. Jain, A. M. Joshi, and S. Mohanty, “Everything you wanted to know about noninvasive glucose measurement and control,” arXiv preprint arXiv:2101.08996, 2021.

2. A. M. Joshi, P. Jain, and S. P. Mohanty, “Everything you wanted to know about continuous glucose monitoring,” IEEE Consumer Electronics Magazine, 2021.

3. S. Habbu, M. Dale, and R. Ghongade, “Estimation of blood glucose by non-invasive method using photoplethysmography,” Sādhanā, vol. 44, no. 6, p. 135, 2019.

4. L. Kovács, G. Eigner, M. Siket, and L. Barkai, “Control of diabetes mellitus by advanced robust control solution,” IEEE Access, vol. 7, pp. 125 609–125 622, 2019.

5. P. Jain, A. M. Joshi, and S. P. Mohanty, “iGLU: An Intelligent Device for Accurate Non-Invasive Blood Glucose-Level Monitoring in Smart Healthcare,” IEEE Consumer Electronics Magazine, vol. 9, no. 1, p. Accepted, January 2020.

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