In recent years, there has been a growing demand for miniaturization, low power
consumption, quick treatments, and non-invasive clinical strategies in the healthcare …

Early detection and proper treatment of epilepsy is essential and meaningful to those who
suffer from this disease. The adoption of deep learning (DL) techniques for automated …

The 2020's decade will likely witness an unprecedented development and deployment of
neurotechnologies for human rehabilitation, personalized use, and cognitive or other …

Abstract Interictal Epileptiform Discharges (IED) and High Frequency Oscillations (HFO) in
intraoperative electrocorticography (ECoG) may guide the surgeon by delineating the …

Bioelectronic medicine treats chronic diseases by sensing, processing, and modulating the
electronic signals produced in the nervous system of the human body, labeled'neural …

Introduction Epilepsy is a global chronic disease that brings pain and inconvenience to
patients, and an electroencephalogram (EEG) is the main analytical tool. For clinical aid that …

High‐frequency oscillations (HFO) in scalp EEG are a new and promising noninvasive
epilepsy biomarker, providing added prognostic value, particularly in pediatric lesional …

Spiking Neural Networks (SNNs) offer a promising solution to achieve ultra low-
power/energy computation for solving machine learning tasks. Currently, most of the SNN …

Recently, many researchers have deployed different deep learning techniques to predict
epileptic seizure, using electroencephalogram signals. However, most of this research …

Objective. Therapeutic intervention in neurological disorders still relies heavily on
pharmacological solutions, while the treatment of patients with drug resistance remains an …