Edge-based intelligent and smart health monitoring on PYNQ-Z2 using lightweight protocol and integration of machine learning models
Authors
Samik Basu
Department of Computer Science and Engineering, University of Calcutta, Kolkata, India
Rajdeep Ray
Department of Electronics and Communication Engineering, Swami Vivekananda University, Kolkata, India
Arkadip Maitra
Department of Computer Science, Ramakrishna Mission Vivekananda Educational and Research Institute (RKMVERI) Belur Math, Howrah, India
Pritha Banerjee
Department of Computer Science and Engineering, University of Calcutta, Kolkata, India
Amlan Chakrabarti
A. K. Choudhury School of Information Technology, University of Calcutta, Kolkata, India
DOI: https://doi.org/10.2478/ijssis-2025-0056 | Journal eISSN: 1178-5608
Language: English
Submitted on: Jun 29, 2025
Published on: Dec 31, 2025
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2025 Samik Basu, Rajdeep Ray, Arkadip Maitra, Pritha Banerjee, Amlan Chakrabarti, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.