FPGA implementation of high accuracy automatic epileptic seizure detection system

HG Daoud, AM Abdelhameed… - 2018 IEEE 61st …, 2018 - ieeexplore.ieee.org
Analysis of Electroencephalogram (EEG) records acquired from the brain is considered the
easiest and a powerful tool in diagnosis the neurological disorders that are related to the …

Epileptic seizure detection using temporal based measures in EEG signal

MDS Hussain, M Sarfraz… - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Neuronal activity analysis of the brain for epileptic seizure detection. This neuronal activity is
recorded in electroencephalogram (EEG) data. Present work focused on two temporal …

Implementation of EEG feature extractor and classifier for seizure detection on FPGA

R Jacob, KP Menon - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Seizure is a neurological disorder that affects the brain and changes the activity of the brain.
The detection and analysis of seizures is very important. Many different automatic methods …

A review of feature extraction for EEG epileptic seizure detection and classification

L Boubchir, B Daachi… - 2017 40th International …, 2017 - ieeexplore.ieee.org
Epileptic seizure is one of the most common neurological diseases around the world. It is
clinical symptoms and/or signs due to abnormal excessive or synchronous neuronal activity …

Hardware implementation of automated seizure detection system using EEG signals and edge computing

DA Torse, R Khanai, K Pai, S Iyer - 2022 6th International …, 2022 - ieeexplore.ieee.org
Epilepsy is an unrelenting, constantly recurring neurological disorder characterized by
abnormal electrical activity in the brain. Epilepsy acts as a condition with inconsistent …

FPGA implementation for epileptic seizure detection using amplitude and frequency analysis of EEG signals

D Selvathi, H Selvaraj - 2017 25th International Conference on …, 2017 - ieeexplore.ieee.org
Patients with epilepsy (a central nervous system disorder) suffer from frequent seizures that
occur at unpredictable times without any warning. Therefore, it is necessary to identify the …

FPGA implementation of EEG signal analysis system for the detection of epileptic seizure

A Saidi, SB Othman, W Kacem… - … on Advanced Systems …, 2018 - ieeexplore.ieee.org
Epilepsy is a neurological disorder identified by successive sudden seizures resulting from
transient and recurrent electrical discharges in the brain. Their detection is possible by …

Epileptic seizure classification using statistical features of EEG signal

MM or Rashid, M Ahmad - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Epilepsy detection is enough time consuming and requires thorough observation to
determine epilepsy type and locate the responsible area of the cerebral cortex. This paper …

FPGA implementation of epileptic seizure detection using ELM classifier

JP Jose, M Sundaram, G Jaffino - 2020 Sixth International …, 2020 - ieeexplore.ieee.org
Electroencephalography (EEG) Signals are widely used to determine the brain disorders.
The Electrical activity of human brain is recorded in the form of EEG signal. The abnormal …

Realization of epileptic seizure detection in EEG signal using wavelet transform and SVM classifier

D Selvathi, VK Meera - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
The objective of this work is to identity the occurrence of seizure in an epileptic patient from
his/her Electroencephalogram (EEG) signals and also to avoid aggressive situations during …