Objective. Considering the importance and the near-future development of noninvasive
brain–machine interface (BMI) systems, this paper presents a comprehensive theoretical …

This paper presents a comparison of Electroencephalogram (EEG) signals classification for
Brain Computer-Interfaces (BCI). At present, it is a challenging task to extract the meaningful …

Studies show that drowsiness while driving a motor vehicle can result in fatal car accidents.
A smartphone application that uses a low-cost EEG brain-computer-interface is described …

An electroencephalography (EEG)-based classification system could be used as a tool for
detecting cognitive fatigue from demanding computer tasks. The most widely used feature …

理解大脑的工作原理是实现“终极” 人工智能的重要途径. 建模并验证模型的正确性是理解大脑
工作原理的重要手段. 首先概述大脑的实验研究方法和建模研究方法; 然后给出大脑的框图模型 …

The article describes the essence of functioning of the neural computer interface, as well as
provides the prototype of the custom neural computer control system, which includes the …

Cardiac arrest (CA) is the leading cause of death in the United States. Induction of
hypothermia has been found to improve the functional recovery of CA patients after …

Mental health has become one of the most important topics in today's world and has been
included in WHO's World Sustainable Development goals. Significant breakthrough made in …

Objective. A promising application of BCI technology is in the development of personalized
therapies that can target neural circuits linked to mental or physical disabilities. Typical BCIs …

Calibrating the Implied Volatility Surface (IVS) using sparse market data is an essential task
for option pricing in quantitative finance. The calibrated values must provide a solution to a …