Neurology

Seizures

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

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Anxiety and Depression Diagnosis Method Based on Brain Networks and Convolutional Neural Networks.

At present, only professional doctors can use the professional scales to diagnose depression and anx...

Jul 2020 33018276
Patient-Specific Robot-Assisted Stroke Rehabilitation Guided by EEG - A Feasibility Study.

Multi-session robot-assisted stroke rehabilitation program requires patients to perform repetitive t...

Jul 2020 33018598
Classifying cross-frequency coupling pattern in epileptogenic tissues by convolutional neural network.

The phase-amplitude coupling in EEG signal of different frequencies is considered as a useful biomar...

Jul 2020 33018743
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands.

Epilepsy diagnosis through visual examination of interictal epileptiform discharges (IEDs) in scalp ...

Jul 2020 33018805
Identifying tracé alternant activity in neonatal EEG using an inter-burst detection approach.

Electroencephalography (EEG) is an important clinical tool for reviewing sleep-wake cycling in neona...

Jul 2020 33019335
Porthole and Stormcloud: Tools for Visualisation of Spatiotemporal M/EEG Statistics.

Electro- and magneto-encephalography are functional neuroimaging modalities characterised by their a...

Jun 2020 31902057
Predicting Deep Hypnotic State From Sleep Brain Rhythms Using Deep Learning: A Data-Repurposing Approach.

BACKGROUND: Brain monitors tracking quantitative brain activities from electroencephalogram (EEG) to...

May 2020 32287128
Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques.

Electroencephalography is the recording of brain electrical activities that can be used to diagnose ...

Mar 2020 32259881
Robot-Assisted Insular Depth Electrode Implantation Through Oblique Trajectories: 3-Dimensional Anatomical Nuances, Technique, Accuracy, and Safety.

BACKGROUND: The insula is a deep cortical structure that has renewed interest in epilepsy investigat...

Mar 2020 31245818
Motor imagery classification using geodesic filtering common spatial pattern and filter-bank feature weighted support vector machine.

In recent years, Brain Computer Interface (BCI) based on motor imagery has been widely used in the f...

Mar 2020 32259927
Robotic treatment of the upper limb in chronic stroke and cerebral neuroplasticity: a systematic review.

Stroke is the second cause of mortality and the third cause of long-term disability worldwide. Defic...

Jan 2020 33386032
Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation.

IMPORTANCE: Interictal epileptiform discharges (IEDs) in electroencephalograms (EEGs) are a biomarke...

Jan 2020 31633740
Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation.

BACKGROUND: Several studies investigated clinical and instrumental differences to make diagnosis of ...

Jan 2020 32417784
A natural evolution optimization based deep learning algorithm for neurological disorder classification.

BACKGROUND: A neurological disorder is one of the significant problems of the nervous system that af...

Jan 2020 32474459
Electroencephalogram-Based Emotion Recognition Using a Particle Swarm Optimization-Derived Support Vector Machine Classifier.

We sort human emotions using Russell's circumplex model of emotion by classifying electroencephalogr...

Jan 2020 32749117
Statistical algorithms for emotion classification via functional connectivity.

Pattern recognition algorithms decode emotional brain states by using functional connectivity measur...

Sep 2019 31601078
Percept-related EEG classification using machine learning approach and features of functional brain connectivity.

Machine learning is a promising approach for electroencephalographic (EEG) trials classification. It...

Sep 2019 31575147
Epileptic seizure detection using EEG signals and extreme gradient boosting.

The problem of automated seizure detection is treated using clinical electroencephalograms (EEG) and...

Aug 2019 32561701
Classification of low-density EEG for epileptic seizures by energy and fractal features based on EMD.

We are here to present a new method for the classification of epileptic seizures from electroencepha...

Aug 2019 32561698
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