Cong, Fengyu Evaluation and Extraction of Mismatch Negativity through Exploiting Temporal, Spectral, Time-frequency and Spatial Features Jyväskylä: University of Jyväskylä, 2010, 57p. (+included articles) (Jyväskylä Studies in Computing ISSN 1456-5390; 118) ISBN 978-951-39-3983-0 Finnish Summary Diss. This study is dedicated to the evaluation and extraction of mismatch negativity (MMN) from EEG...

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Slow wave oscillations in the electroencephalogram (EEG) during sleep may reflect both sleep need and intensity, which are implied in homeostatic regulation. Adenosine is strongly implicated in sleep homeostasis, and a single nucleotide polymorphism in the adenosine deaminase gene (ADA G22A) has been associated with deeper and more efficient sleep. The present study verified the association bet...

background: this paper proposes a new emotional stress assessment system using multi-modal bio-signals. electroencephalogram (eeg) is the reflection of brain activity and is widely used in clinical diagnosis and biomedical research. methods: we design an efficient acquisition protocol to acquire the eeg signals in five channels (fp1, fp2, t3, t4 and pz) and peripheral signals such as blood volu...

Robust and reliable determination of hypovigilance is required in many areas, particularly transportation. Here, new products of Fatigue Monitoring Technologies (FMT) emerge. Their development and assessment requires an independent reference standard of driver’s hypovigilance. Until recently most approaches utilized electrooculography (EOG) and electroencephalography (EEG) combined to descripti...

Electroencephalogram (EEG) signals are usually contaminated with various artifacts, such as signal associated with muscle activity, eye movement, and body motion, which have a noncerebral origin. The amplitude of such artifacts is larger than that of the electrical activity of the brain, so they mask the cortical signals of interest, resulting in biased analysis and interpretation. Several blin...

The term “anesthetic depth” refers to the extent which a general anesthetic agent sedates central nervous system with specific strength concentration at it is delivered. depth level of anesthesia plays crucial role in determining surgical complications, and imperative keep levels under control perform successful surgery. This study used electroencephalography (EEG) signals predict anesthesia. T...

Compared with the well documented neurophysiological findings on negative emotions, much less is known about positive emotions. In the present study, we explored the EEG correlates of ten different positive emotions (joy, gratitude, serenity, interest, hope, pride, amusement, inspiration, awe, and love). A group of 20 participants were invited to watch 30 short film clips with their EEGs simult...

Background: Epilepsy is a Brain disorder disease that affects people's quality of life. If it is diagnosed at an early stage, it will not be spread. Electroencephalography (EEG) signals are used to diagnose epileptic seizures. However, this screening system cannot diagnose epileptic seizure states precisely. Nevertheless, with the help of computer-aided diagnosis systems (CADS), neurologists ca...

In this note we describe a heuristic, starting with a dimensional analysis, which relates hemodynamic changes to the spectral profile of ongoing EEG activity. In brief, this analysis suggests that 'activation', as indexed by increases in hemodynamic signals, should be associated with a loss of power in lower EEG frequencies, relative to higher frequencies. The fact that activation is expressed ...