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Scalp EEG classification using deep Bi-LSTM network for seizure detection
Automatic seizure detection technology not only reduces workloads of neurologists for
epilepsy diagnosis but also is of great significance for treatments of epileptic patients. A …
epilepsy diagnosis but also is of great significance for treatments of epileptic patients. A …
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
Epilepsy, a brain disease generally associated with seizures, has tremendous effects on
people's quality of life. Diagnosis of epileptic seizures is commonly performed on …
people's quality of life. Diagnosis of epileptic seizures is commonly performed on …
Epileptic seizure detection and prediction in EEGs using power spectra density parameterization
S Liu, J Wang, S Li, L Cai - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Power spectrum analysis is one of the effective tools for classifying epileptic signals based
on electroencephalography (EEG) recordings. However, the conflation of periodic and …
on electroencephalography (EEG) recordings. However, the conflation of periodic and …
Epileptic seizures detection in EEG signals using fusion handcrafted and deep learning features
Epilepsy is a brain disorder disease that affects people's quality of life.
Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper …
Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper …
Seizure prediction based on transformer using scalp electroencephalogram
J Yan, J Li, H Xu, Y Yu, T Xu - Applied Sciences, 2022 - mdpi.com
Epilepsy is a chronic and recurrent brain dysfunction disease. An acute epileptic attack will
interfere with a patient's normal behavior and consciousness, having a great impact on their …
interfere with a patient's normal behavior and consciousness, having a great impact on their …
[HTML][HTML] Identification of epileptic EEG signals using convolutional neural networks
Epilepsy is one of the chronic neurological disorders that is characterized by a sudden burst
of excess electricity in the brain. This abnormality appears as a seizure, the detection of …
of excess electricity in the brain. This abnormality appears as a seizure, the detection of …
Epileptic seizure detection in EEG using mutual information-based best individual feature selection
Epilepsy is a group of neurological disorders that affect normal brain activities and human
behavior. Electroencephalogram based automatic epileptic seizure detection has significant …
behavior. Electroencephalogram based automatic epileptic seizure detection has significant …
Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals
Epilepsy is a neurological disorder that has severely affected many people's lives across the
world. Electroencephalogram (EEG) signals are used to characterize the brain's state and …
world. Electroencephalogram (EEG) signals are used to characterize the brain's state and …
Automatic epileptic seizure detection via Stein kernel-based sparse representation
Epileptic seizure detection is of great significance in the diagnosis of epilepsy and relieving
the heavy workload of visual inspection of electroencephalogram (EEG) recordings. This …
the heavy workload of visual inspection of electroencephalogram (EEG) recordings. This …
An efficient method for identification of epileptic seizures from EEG signals using Fourier analysis
Epilepsy is a disease recognized as the chronic neurological dysfunction of the human brain
which is described by the sudden and excessive electrical discharges of the brain cells …
which is described by the sudden and excessive electrical discharges of the brain cells …