A research project for my BSc Computer Science dissertation. Supervised by Nhat Pham. A final grade of 93% was achieved on this project.

GitHub Repository: https://github.com/Loic017/Epileptic-seizure-detection-with-Tiny-Machine-Learning

This blog post and GitHub repository may continue to receive updates.

Publications

1. The preliminary results of this study was accepted into the 2024 MobiUK Wearable and Ubiquitous Systems Research Symposium and was presented:

Epileptic seizure detection with Tiny Machine Learning
Loic Lorente Lemoine, Nhat Pham, MobiUK 2024 - Sixth UK Mobile, Wearable and Ubiquitous Systems Research Symposium.

View the abstract: LINK
View the presentation slides: LINK

Awards

1. A short poster featuring the results of the study was submitted to a Cardiff University and Vietnam National University Student Poster Competition on “AI, Smart Healthcare, and IoT” and won first prize:

First Prize, Student Poster Competition on “AI, Smart Healthcare, and IoT”
Global Wales, Cardiff University and Vietnam National University - Ho Chi Minh University of Technology

View the poster: LINK

2. I was presented with the "Best Final Year Project" award at my graduation:

Best Final Year Project, BSc Computer Science and Variants
Cardiff University, School of Computer Science and Informatics

Dissertation Report

View the dissertation report: LINK