The electroencephalogram (EEG) provides a diagnostically important stream of multivariate data of the activity of the human brain. Various EEG sonification strategies have been proposed but auditory space has rarely been used to give cues about the location of specific events. Here we introduce a multivariate event-based sonification that, in addition to displaying salient rhythms, uses pitch a...

Electroencephalogram (EEG) recordings provide an important means of brain-computer communication, but their classification accuracy and transfer rate are limited by unexpected signal variations due to artifacts and noises. In this paper, a nonlinear independent component analysis (NICA) extraction method for brain signal based EEG-P300 are proposed. The performance of the proposed method is inv...

At the presentmoment, threemethods can record functional and physiological changes within the brain with high temporal resolution of neuronal interactions at the network level: the electroencephalogram (EEG), the magnetoencephalogram (MEG), and functional magnetic resonance imaging (fMRI); each of these has advantages and shortcomings. MEG is not practical for experimental work when subjects ma...

A brain-computer interface (BCI) system processes and translates neuronal signals, mainly from electroencephalogram (EEG) instruments, into commands for controlling electronic devices. This system can allow people with motor disabilities to control external devices through the real-time modulation of their brain waves. An EEG-based BCI system that allows creative luminous artistic representatio...

BACKGROUND The purpose of this study was to investigate the changes in the Power Spectral Density (PSD) of the electroencephalogram (EEG) during 8 common sensorimotor balance training tasks of varying difficulty in single-limb trans-tibial amputees. MATERIAL AND METHODS Eight sensorimotor balance exercises, including alteration in vision, base of support, and surface compliance, were used to ...

OBJECTIVE To investigate acute effects of traditional Thai massage (TTM) on brain electrical activity (electroencephalogram (EEG) signals), anxiety and pain in patients with scapulocostal syndrome (SCS). DESIGN A single-blind, randomized clinical trial. SETTING The School of Physical Therapy, Faculty of Associated Medical Sciences, Khon Kaen University, Thailand. INTERVENTION Forty patien...

Network security is very important when sending confidential data through the network. Cryptography is the science of hiding information, and a combination of cryptography solutions with cognitive science starts a new branch called cognitive cryptography that guarantee the confidentiality and integrity of the data. Brain signals as a biometric indicator can convert to a binary code which can be...

Abstract Background Migraine and epilepsy are both episodic disorders, with some overlapping symptoms, mechanisms therapies. Clinically, there is a comorbid relationship between them. Some migraine patients may exhibit epileptic discharges by electroencephalogram (EEG) recording. Therefore, the two conditions easily misdiagnosed. Case presentation We reported 16-year-old female patient who was ...

Genuineness of smiles is particular interest in the field human emotions and social interactions. In this work, we develop an experimental protocol to elicit genuine fake smile expressions on 28 healthy subjects. Then, assess type using electroencephalogram (EEG) signals with convolutional neural networks (CNNs). Five different architectures (CNN1, CNN2, CNN3, CNN4, CNN5) were examined differen...

Abstract Various forms of artifacts can readily contaminate an electroencephalogram recorded using surface electrodes. A comparison several (EEG) de-noising methods is shown here. Five distinct noise are reduced three different strategies, and the results compared. These procedures Recursive Least Squares (RLS) adaptive algorithm, Mean (LMS) method, Fully Connected Neural Network (FCNN). The ti...