In the case of medical science, one of the most restless researches is the identification of abnormalities in brain. Electroencephalogram (EEG) is the main tool for determining the electrical activity of brain and it contains rich information associated to the varieties physiological states of brain. The purpose of this task is to identify the EEG signal as order or disorder. It is proposed to ...

introduction: temporal lobe epilepsy (tle) is the most common and drug resistant epilepsy in adults. due to behavioral, morphologic and electrographic similarities, pilocarpine model of epilepsy best resembles tle. this study was aimed at determination of the changes in electroencephalogram (eeg) sub-bands amplitude during focal seizures in the pilocarpine model of epilepsy. analysis of these c...

This paper presents a FIR adaptive filter to cancelling interference due to 50 Hz power line in human electroencephalographic (EEG) inspection. An overview of EEG techniques to study brain activity will be outlined. Then, the problem of spurious signal rejection, in this particular handset, shows the meaningfull application of adaptive filter structure. Poles of filter are driven to find an opt...

Introduction Increase in alpha band is observed when blood perfusion in frontal area of head decreases. The present study evaluated some changes in the alpha band particularly, alpha-1 of frontal and central areas of the head, when several areas were exposed simultaneously to magnetic field. Materials and Methods Five points of head (F3, F4, Cz, T3, and T4) of twenty healthy male participants w...

Signal processing has varied range of applications from our daily life signal processing is involved. From the communication, artificial intelligence, advance robotics to the advance bio medical applications like ECG, EEG processing etc. In this paper we have studied. EEG signal as a part of signal processing for diagnostic understanding of epilepsy. Epilepsy is one of the most common neurologi...

The goal of this study is to detect the onset of alpha rhythm in the electroencephalography (EEG) signal after eye closure. We developed an algorithm that detects the alpha rhythm onset by analyzing the FFT of an EEG signal, obtained by means of a localized sensor in the occipital zone, developed with specific characteristics for alpha rhythm acquisition. The EEG signal of eight subjects was re...

The electroencephalography (EEG) reflects the averaged electrical activity of large numbers of cortical neurons associated with different neural information processing of brain regions. Because EEG recording process is non-invasive, safe, and can be easily administered by clinicians, EEG signal analysis is considered to be a potential tool that may aid in the diagnosis of brain abnormalities in...

The purpose of this paper is to determine the e ect of infrasound noise from wind turbines (up to 20 Hz) on the changes in the EEG signal patterns in humans. The experimental study was undertaken to investigate the e ect of a 20 minutes long infrasound exposure on humans. The acoustic signal was recorded at a distance of 750 meters from the wind turbine and the frequency components above 20 Hz ...

Concurrent recording of electroencephalography (EEG) during transcranial magnetic stimulation (TMS) is an emerging and powerful tool for studying brain health and function. Despite a growing interest in adaptation of TMS-EEG across neuroscience disciplines, its widespread utility is limited by signal processing challenges. These challenges arise due to the nature of TMS and the sensitivity of E...

The accurate assessment of the depth of anesthesia, allowing a more accurate adaptation of the doses of hypnotics, is an important end point for the anesthesiologist. It is a particularly crucial issue in pediatric anesthesia, in the context of the recent controversies about the potential neurological consequences of the main anesthetic drugs on the developing brain. The electroencephalogram si...