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Early seizure detection in childhood focal epilepsy with electroencephalogram feature fusion on deep autoencoder learning and channel correlations
Recognition of epileptic electroencephalogram (EEG) signals is vital to epileptic seizure detection. Current research on seizure detection mostly...
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A channel-wise attention-based representation learning method for epileptic seizure detection and type classification
Epilepsy affect almost 1% of the worldwide population. An early diagnosis of seizure types is a crucial patient-dependent step for the treatment...
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Enhanced Epileptic Seizure Detection Through Graph Spectral Analysis of EEG Signals
Epilepsy is a persistent health condition marked by unusual and highly synchronized electrical activity in the brain cells, resulting in recurring...
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Detection of epileptic seizure in EEG signals using machine learning and deep learning techniques
Around 50 million individuals worldwide suffer from epilepsy, a chronic, non-communicable brain disorder. Several screening methods, including...
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Integrated learning algorithms-based epileptologist assistive tool for seizure detection and prediction
An ongoing neurological condition known as a seizure is characterised by recurring seizures that have a detrimental impact on patients' quality of...
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Hybrid WCA–PSO Optimized Ensemble Extreme Learning Machine and Wavelet Transform for Detection and Classification of Epileptic Seizure from EEG Signals
Epilepsy seizures are sudden, chaotic neurological functions. The complexity of the brain is revealed via electroencephalography (EEG). Visual...
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Early Epilepsy Seizure Prediction Using CNN
Epilepsy is a disorder that makes a person awkward or nervous in social life. Epilepsy seizures are caused by sudden problems in the brain which can...
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TABS: Transformer Based Seizure Detection
In this chapter we explain our development of a novel deep learning model that can predict seizures from an EEG signal. We cover our approach and...
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A Review on Epileptic Seizure Detection and Prediction
Due to the obvious unpredictability of epilepsy, sufferers have to be more mindful of protections as well as how to cope with an incidence. Epilepsy...
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Novel quadratic time-frequency features in EEG signals for robust detection of epileptic seizure
PurposeEpilepsy is a chronic neurological disorder characterized by recurrent convulsions. Therapists seek to recognize epilepsy patterns in...
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A New Approach for Epileptic Seizure Detection from EEG and ECG Signals Using Wavelet Decomposition
Early detection of epileptic seizures is critical in clinical diagnosis to prevent disease progression. Seizures can be detected by measuring muscle...
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A Novel for Seizure Prediction Using Artificial Intelligent and Electroencephalography
Seizure prediction is critical in effectively managing epilepsy, a chronic neurological disorder characterized by sudden abnormal brain activity....
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Epileptic Seizure Detection from EEG Signal Using ANN-LSTM Model
Epilepsy is a well-known neurological disease caused by malfunctioning nerve activity in the brain. These malfunctioning causes episodes called...
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Wearable Real-Time Epileptic Seizure Detection and Warning System
Epilepsy is an unpredictable neuronal brain disorder, affecting approximately 70 million people. It is characterized by seizures resulting in the...
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Epileptic Seizure Detection Based on Multi-synchrosqueezing Transform and Multi-label Classification
Machine learning is a significant tool in the study of epileptic automatic detection system. This paper presents a novel method based on...
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LSTM-Based Epileptic Seizure Detection by Analyzing EEG Signal
Seizures are getting more widespread as the population continues to expand at a rapid rate. In India, almost a million instances are reported each...
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Adaptive octopus deep transfer learning based epileptic seizure classification on field programmable gate arrays
Seizures are a type of neurological illness that can disrupt the processes of the human brain. In most cases, epileptic abnormalities may be detected...
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Seizure Detection Based on EEG Signals Using Asymmetrical Back Propagation Neural Network Method
Abnormal activity in the human brain is a symptom of epilepsy. Electroencephalogram (EEG) is a standard tool that has been widely used to detect...
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α and β-Testing of an Epileptic Seizure Detection Algorithm on Pre-ictal, Ictal, and Inter-ictal Part of EEG Signal
Epilepsy is the main neurological disorder, which leads to human brain working incorrectly. Hundreds of thousands of people are stricken by this...
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Seizure Detection from Intracranial Electroencephalography Recordings
More than one in five cases of epilepsy fall under the category of drug-resistant epilepsy, a form which cannot be prevented by using anti-convulsant...