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Pilot study for non-invasive diabetes detection through classification of photoplethysmography signals using convolutional neural networks Cover

Pilot study for non-invasive diabetes detection through classification of photoplethysmography signals using convolutional neural networks

Open Access
|Oct 2024
Language: English
Page range: 85 - 95
Published on: Oct 15, 2024
Published by: Faculty of Graduate Studies (FGS), University of Kelaniya
In partnership with: Paradigm Publishing Services

© 2024 Hiruni J. Gunathilaka, Rumesh Rajapaksha, Thosini Kumarika, Dinusha Perera, Uditha Herath, Charith Jayathilaka, Janitha A. Liyanage, Sudath R.D. Kalingamudali, published by Faculty of Graduate Studies (FGS), University of Kelaniya
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.