A recent investigation on detection and classification of epileptic seizure techniques using EEG signal
The benefits of early detection and classification of epileptic seizures in analysis, monitoring
and diagnosis for the realization and actualization of computer-aided devices and recent …
and diagnosis for the realization and actualization of computer-aided devices and recent …
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A Shoeibi, P Moridian, M Khodatars… - Computers in biology …, 2022 - Elsevier
Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …
A difference attention ResNet-LSTM network for epileptic seizure detection using EEG signal
X Qiu, F Yan, H Liu - Biomedical Signal Processing and Control, 2023 - Elsevier
Epileptic seizures can affect the patient's physical function and cause irreversible damage to
their brain. It is vital to detect epilepsy seizures in time and give patients antiepileptic …
their brain. It is vital to detect epilepsy seizures in time and give patients antiepileptic …
Deep learning for predicting respiratory rate from biosignals
In the past decade, deep learning models have been applied to bio-sensors used in a body
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …
sensor network for prediction. Given recent innovations in this field, the prediction accuracy …
[HTML][HTML] A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
M Rostami, M Oussalah - Informatics in Medicine Unlocked, 2022 - Elsevier
Abstract Several Artificial Intelligence-based models have been developed for COVID-19
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series
In clinical practice, algorithmic predictions may seriously jeopardise patients' health and thus
are required to be validated by medical experts before a final clinical decision is met …
are required to be validated by medical experts before a final clinical decision is met …
Interpretable and robust ai in eeg systems: A survey
The close coupling of artificial intelligence (AI) and electroencephalography (EEG) has
substantially advanced human-computer interaction (HCI) technologies in the AI era …
substantially advanced human-computer interaction (HCI) technologies in the AI era …
Patient-specific method of sleep electroencephalography using wavelet packet transform and Bi-LSTM for epileptic seizure prediction
C Cheng, B You, Y Liu, Y Dai - Biomedical Signal Processing and Control, 2021 - Elsevier
Epileptic seizures during sleep increase the probability of complications and sudden death
in patients. Effective epileptic seizure prediction in sleep can assist doctors (patients) in …
in patients. Effective epileptic seizure prediction in sleep can assist doctors (patients) in …
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space
Objective. This review paper provides an integrated perspective of Explainable Artificial
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …
Approximate zero-crossing: a new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection
Objective. Long-term monitoring of people with epilepsy based on electroencephalography
(EEG) and intracranial EEG (iEEG) has the potential to deliver key clinical information for …
(EEG) and intracranial EEG (iEEG) has the potential to deliver key clinical information for …