Latest AI and machine learning research in seizures for healthcare professionals.
. Brain-computer interfaces (BCIs) face a significant challenge due to variability in electroencepha...
Developing a robust and effective technique is crucial for interpreting a user's brainwave signals a...
Personalized brain implants have the potential to revolutionize the treatment of neurological disord...
Wearable devices with continuous monitoring capabilities are critical for the daily detection of epi...
Epilepsy is a globally distributed chronic neurological disorder that may pose a threat to life with...
Quantifying emesis in Suncus murinus (S. murinus) has traditionally relied on direct observation or ...
Sleep staging is a crucial task in clinical and research contexts for diagnosing and understanding s...
High-frequency oscillations (HFOs) in intracranial EEG (iEEG) recordings are critical biomarkers for...
In motor imagery (MI) tasks for brain computer interfaces (BCIs), the spatial covariance matrix (SCM...
In brain-computer interface (BCI) systems, symmetric positive definite (SPD) manifold within Riemann...
The risk of adverse effects in Electroconvulsive Therapy (ECT), such as cognitive impairment, can be...
Research suggests that dreams play a role in the regulation of emotional processing and memory conso...
BACKGROUND AND OBJECTIVE: Deep learning models have gained widespread adoption in healthcare for acc...
Understanding cognitive workload improves learning performance and provides insights into human cogn...
. Among all BCI paradigms, motion imagery (MI) has gained favor among researchers because it allows ...
Key challenges in upper limb prosthetics include a lack of effective control systems, the often inva...
Transfer learning is one of the popular methods to solve the problem of insufficient data in subject...
The identification of spikes, as a typical characteristic wave of epilepsy, is crucial for diagnosin...
Identifying new anti-seizure medications (ASMs) is difficult due to limitations in animal-based assa...
Denoising artifacts, such as noise from muscle or cardiac activity, is a crucial and ubiquitous conc...
BACKGROUND: The proportion of traffic accidents caused by fatigue driving is increasing year by year...