Latest AI and machine learning research in seizures for healthcare professionals.
Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children....
Currently, Fourier-based, wavelet-based, and Hilbert-based time-frequency techniques have generated ...
OBJECTIVE: Localization of focal epilepsy is critical for surgical treatment of refractory seizures....
In this study, we designed two deep neural networks to encode 16 features for early seizure detectio...
Emotion recognition is a challenging problem in Brain-Computer Interaction (BCI). Electroencephalogr...
We compared the predictive performance of an artificial neural network to traditional pharmacometric...
Automatic epilepsy detection is of great significance for the diagnosis and treatment of patients. M...
Neurons refer to nerve cells. Each neuron is connected with thousands of other neurons to form a cor...
OBJECTIVE: To search the predictive value of epilepsy secondary to acute subarachnoid hemorrhage (aS...
OBJECTIVE: To investigate the electroclinical characteristics and the prognostic impact of generaliz...
This work proposed a novel method for automatic sleep stage classification based on the time, freque...
The COVID-19 has resulted in one of the world's most significant worldwide lock-downs, affecting hum...
OBJECTIVE: To evaluate the diagnostic performance of artificial intelligence (AI)-based algorithms f...
In this paper, we introduce a new variation of the Convolutional Neural Network Inception block, cal...
In this study we explore how different levels of emotional intensity (Arousal) and pleasantness (Val...
We propose a novel neural network architecture, SZTrack, to detect and track the spatio-temporal pro...
Consciousness can be defined by two components: arousal (wakefulness) and awareness (subjective expe...
Differentiating between shockable and non-shockable Electrocardiogram (ECG) signals would increase t...
The functional corticospinal integrity (CSI) can be indexed by motor-evoked potentials (MEP) followi...
Parkinson's disease (PD) is one of the most serious and challenging neurodegenerative disorders to d...
Methods on modelling the human brain as a Complex System have increased remarkably in the literature...