The recent technology in digital computing created many ways of drowsiness detection. This is important because of the increased numbers of accidents caused by drowsy drivers. In this paper, an approach for detecting drowsiness state by continuously analyzing EEG signals is proposed. Using a single dry-sensor EEG headset, a real-time system that monitors and analyzes the EEG signal of the drive...

In this chapter, we analyse the HHT-based characteristics of the instantaneous frequencies (IFs) of the clinical normal, sharp I, and II electroencephalogram (EEG) signals recorded from epilepsy subjects. In addition, we discuss the frequency-energy distributions of the intrinsic mode functions (IMFs), the mean, standard deviation, and maximum, and minimum frequencies of the IFs for the clinica...

EEG recording in the intensive care setting presents a number of technical challenges. It is essential to differentiate artifact from pathophysiologic EEG changes that would suggest encephalopathy, epileptiform activity, or seizures. There are particular patterns typical of deepening encephalopathy, as well as, coma patterns that have diagnostic and prognostic significance (e.g., spindle coma, ...

Electroencephalography (EEG) and functional MRI (fMR1) provide joint information about the timing and location of brain activations. Simultaneous fMRl and EEG measurements will allow several classes of cognitive and clinical studies where the subject’s state is not reproducible over independent trials. Applications include detection of fMRl activity specifically linked to: 1) EEG a-waves, 2) sl...

Developmental psychophysiologists working with infants have no commonly accepted frequency definitions of EEG waves or rhythms. The purpose of this study was to investigate the task-related power changes in three infant EEG frequency bands during the performance of a spatial working memory task by 8-month-old infants. EEG data were divided into three frequency bands: 3-5 Hz, 6-9 Hz, and 10-12 H...

The present study seeks to investigate the limits of scalp EEG (electroencephalogram) SSVEP (Steady State Visual Evoked Potentials) phenomena (to which maximal and minimal frequencies SSVEP can be recorded at the scalp level). SSVEP are periodic evoked signals buried in the non-stationary waves of EEG recordings. EEG signals are furthermore noisy and contain artifacts which may interfere with b...

Slow waves constitute the main signature of sleep in the electroencephalogram (EEG). They reflect alternating periods of neuronal hyperpolarization and depolarization in cortical networks. While recent findings have demonstrated their functional role in shaping and strengthening neuronal networks, a large-scale characterization of these two processes remains elusive in the human brain. In this ...

Summary. Aim. Comparison of methods for diagnosis hepatic encephalopathy in patients with cirrhosis.
 Matherials and Methods. We observed 95 LC who were hospitalized from 2018 to 2020 the Department Anesthesiology Intensive Care, Surgical Gastroenterological Departments Transcarpathian Regional Clinical Hospital. Andriy Novak (Uzhhorod). Neurological status, state mental cognitive function...

Particularly due to its temporal resolution, electroencephalography (EEG) has proved to be a feasible tool to study music perception and cognition. Consistent with the growing impact of neuroscientific research in music within the last two decades, the application of electrophysiological parameters has become more interesting for music therapy as well. This article offers an overview of electro...

The present state of knowledge of physiological mechanisms underlying nonepileptiform EEG abnormalities is reviewed to clarify the correlation between EEG and neuroimaging. Focal and widespread slow waves, background abnormalities, and bursts of rhythmic slow activity are discussed. EEG phenomena were correlated with lesion size, location, type (white matter vs. gray matter, high density vs. lo...