Machine learning models for non-invasive glucose measurement: towards diabetes management in smart healthcare
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s12553-022-00690-7.pdf
Reference39 articles.
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3. Jain P, Joshi AM, Mohanty SP. iGLU: An intelligent device for accurate non-invasive blood glucose- level monitoring in Smart Healthcare. IEEE Consumer Electronics Magazine. 2020;9(1):35–42.
4. Joshi AM, Jain P, Mohanty SP. Everything you wanted to know about continuous glucose monitoring. IEEE Consumer Electronics Magazine. 2021;10(6):61–6.
5. Ahmadi MM, Jullien GA. A wireless-implantable microsystem for continuous blood glucose monitoring. IEEE Transactions on Biomedical Circuits and Systems. 2009;3(3):169–80.
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