An automated deep learning enabled brain signal classification for epileptic seizure detection on complex measurement systems

J Escorcia-Gutierrez, K Beleno, J Jimenez-Cabas… - Measurement, 2022 - Elsevier
Recent advancements in machine learning and deep learning models find them helpful in
designing effective complex measurement systems. At the same time, examining the brain's …

Epileptic patient activity recognition system using extreme learning machine method

U Ayman, MS Zia, OD Okon, N Rehman, T Meraj… - Biomedicines, 2023 - mdpi.com
The Human Activity Recognition (HAR) system is the hottest research area in clinical
research. The HAR plays a vital role in learning about a patient's abnormal activities; based …

[PDF][PDF] AUTOMATED CLASSIFICATION OF THE EPILEPTIC SEIZURES–A SURVEY ON CONVENTIONAL METHODOLOGIES

JM Monica, K Selvan - ijirse.com
Recurrent seizures define epilepsy, an electrical condition of the brain. By recognizing the
signals coming from specific brain areas that are damaged, this condition may be identified …