Latest AI and machine learning research in seizures for healthcare professionals.
OBJECTIVE: Brain-computer interfaces (BCI) studies are increasingly leveraging different attributes ...
BACKGROUND: Multimedia stimulation of brain activity is important for emotion induction. Based on br...
Electroencephalography (EEG) is among the main tools used for analyzing and diagnosing epilepsy. The...
Recent studies have shown that alpha oscillations (8-13 Hz) enable the decoding of auditory spatial ...
This article proposes a novel recognition algorithm for the steady-state visual evoked potentials (S...
Monitoring the depth of unconsciousness during anesthesia is beneficial in both clinical settings an...
Detection of mental disorders such as schizophrenia (SZ) through investigating brain activities reco...
The early diagnosis of stress symptoms is essential for preventing various mental disorder such as d...
In this study, a multi-scale high-density convolutional neural network (MHCNN) classification method...
OBJECTIVE: Most cardiac arrest patients who are successfully resuscitated are initially comatose due...
The emotion recognition with electroencephalography (EEG) has been widely studied using the deep lea...
Emotion is an important expression generated by human beings to external stimuli in the process of i...
Electroencephalography (EEG) is a brain imaging approach that has been widely used in neuroscience a...
Emotions are an essential part of daily human communication. The emotional states and dynamics of th...
It was to explore the application value of health cloud service platform based on data mining algori...
Industrial settings will be characterized by far-reaching production automation brought about by adv...
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...