# Epileptic seizure detection with Tiny Machine Learning - 2024

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 **<mark>MobiUK Wearable and Ubiquitous Systems Research Symposium</mark>** and was <mark>presented:</mark>
    

`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](https://drive.google.com/file/d/1pQN_DtEHovgqvGflyk0JPuxKkfaCsch2/view?usp=sharing)  
View the presentation slides: [LINK](https://drive.google.com/file/d/1TmtMetTVWR-L7RV-Mi_2szLccOB_8E8M/view?usp=sharing)

# Awards

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

`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](https://drive.google.com/file/d/19DpYpvPRJT2Bs0MsdiaXzsJRB14qQat8/view?usp=drive_link)

2. I was presented with the <mark>"Best Final Year Project"</mark> 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](https://drive.google.com/file/d/1W1lrBvBA_GrSyujQJyJSLgKLstS-cuaG/view?usp=sharing)