Neurology

Seizures

Latest AI and machine learning research in seizures for healthcare professionals.

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Brain wave classification using long short-term memory network based OPTICAL predictor.

Brain-computer interface (BCI) systems having the ability to classify brain waves with greater accur...

Jun 2019 31235800
Deep convolutional neural network for classification of sleep stages from single-channel EEG signals.

Using a smart method for automatic diagnosis in medical applications, such as sleep stage classifica...

Jun 2019 31201824
Design and Implementation of a Machine Learning Based EEG Processor for Accurate Estimation of Depth of Anesthesia.

Accurate monitoring of the depth of anesthesia (DoA) is essential for intraoperative and postoperati...

Jun 2019 31180871
Autoencoding of long-term scalp electroencephalogram to detect epileptic seizure for diagnosis support system.

INTRODUCTION: Epileptologists could benefit from a diagnosis support system that automatically detec...

Jun 2019 31202153
Arrangements of Resting State Electroencephalography as the Input to Convolutional Neural Network for Biometric Identification.

Biometric is an important field that enables identification of an individual to access their sensiti...

Jun 2019 31281339
Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia.

The electroencephalogram (EEG) can reflect brain activity and contains abundant information of diffe...

May 2019 31159263
Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal.

BACKGROUND: Prediction of therapeutic outcome of repetitive transcranial magnetic stimulation (rTMS)...

May 2019 31176185
Class discrepancy-guided sub-band filter-based common spatial pattern for motor imagery classification.

BACKGROUND: Motor imagery classification, an important branch of brain-computer interface (BCI), rec...

May 2019 31141703
Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier.

The electroencephalogram (EEG) signal contains useful information on physiological states of the bra...

May 2019 31154257
Automated detection of sudden unexpected death in epilepsy risk factors in electronic medical records using natural language processing.

OBJECTIVE: Sudden unexpected death in epilepsy (SUDEP) is an important cause of mortality in epileps...

May 2019 31111463
Prediction of antiepileptic drug treatment outcomes of patients with newly diagnosed epilepsy by machine learning.

OBJECTIVE: The objective of this study was to build a supervised machine learning-based classifier, ...

May 2019 31121513
Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.

Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-...

May 2019 31107876
A Unified Novel Neural Network Approach and a Prototype Hardware Implementation for Ultra-Low Power EEG Classification.

This paper introduces a novel electroencephalogram (EEG) data classification scheme together with it...

May 2019 31095497
Emotion Recognition from Multiband EEG Signals Using CapsNet.

Emotion recognition based on multi-channel electroencephalograph (EEG) signals is becoming increasin...

May 2019 31086110
A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding.

Motor imagery electroencephalography (EEG) decoding is an essential part of brain-computer interface...

May 2019 31071048
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach.

Electroencephalogram (EEG) is a common base signal used to monitor brain activities and diagnose sle...

May 2019 31063501
Localizing epileptogenic regions using high-frequency oscillations and machine learning.

Pathological high frequency oscillations (HFOs) are putative neurophysiological biomarkers of epilep...

May 2019 31044598
Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders.

To estimate the reliability and cognitive states of operator performance in a human-machine collabor...

Apr 2019 31059900
Spectral and Temporal Feature Learning With Two-Stream Neural Networks for Mental Workload Assessment.

People's mental workload profoundly affects their work efficiency and health. Mental workload assess...

Apr 2019 31034417
An unsupervised EEG decoding system for human emotion recognition.

Emotion plays a vital role in human health and many aspects of life, including relationships, behavi...

Apr 2019 31125912
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