Publications by authors named "Rihem El Baccouch"
Comput Biol Med
January 2025
Article Synopsis
- Diagnosing epilepsy through EEG signals is complex and error-prone due to variability and the large amount of data involved, making portable diagnostic systems challenging to develop.
- The paper proposes using compressive sensing to reduce EEG data while keeping important information, enabling better seizure classification using features extracted from the signals.
- Implemented on microcontrollers like STM32 and Raspberry Pi, this system achieved significant advances, including up to 70% data reduction, faster transmission times, notable energy savings, and a high classification accuracy of 98.78% with preserved signal quality.
