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Edge-based intelligent and smart health monitoring on PYNQ-Z2 using lightweight protocol and integration of machine learning models Cover

Edge-based intelligent and smart health monitoring on PYNQ-Z2 using lightweight protocol and integration of machine learning models

International Journal on Smart Sensing and Intelligent Systems
Volume 18 (2025): Issue 1 (January 2025)
By: Samik Basu,  Rajdeep Ray,  Arkadip Maitra,  Pritha Banerjee and  Amlan Chakrabarti  
Open Access
|Dec 2025

Authors

Samik Basu

Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

Rajdeep Ray

ray.rajdeep78@gmail.com

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
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Language: English
Submitted on: Jun 29, 2025
|
Published on: Dec 31, 2025
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
ESP32,
MQTT broker,
Raspberry Pi-3,
sensors,
IoT,
machine learning algorithms,
PYNQ-Z2
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Samik Basu, Rajdeep Ray, Arkadip Maitra, Pritha Banerjee, Amlan Chakrabarti, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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