Brain Signals and Alcoholism

Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 5

Abstract

 Electroencephalogram (EEG) is the recording of electrical activity through various electrode sensors placed on the scalp. The electrical signal is recorded as waves that can be classified as normal or abnormal. Different types of normal waves can indicate various states or activity levels of the functioning of the brain. Abnormal electricity of the brain may represent many brain disorders, which can be detected by analyzing EEG signal pattern. However, it is very difficult to get useful information from these signals directly in the time domain just by observing them. They are basically non-linear and nonstationary in nature. Hence, their important features can be extracted for the diagnosis of different diseases using advanced techniques in engineering. The measurement of the brain signals involves the use of Electroencephalogram (EEG) at rest and Evoked Potentials (EPs). Brain activity of alcoholics and nonalcoholics differs in many ways. These differences prevail in alcoholics along with imbalance in excitation and inhibition processes in their brains. There are two ways in which the activity of the brains of the alcoholics can be revealed, analysing the images of the brain and the electrophysiological mapping of the brain. Magnetic resonance imaging (MRI) and positron emission tomography (PET) are the examples of the techniques that produce the images of the brain structure, where as EEG and EPs are included in the other method of measurement. This paper summarizes the techniques of mapping of brain signals, which can best reveal the brain activity of alcoholic subjects as it occurs in time.

Authors and Affiliations

Gopal Krishan

Keywords

Related Articles

A Survey on Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation

Auto face annotation is playing important role in many real-world knowledge management systems and multimedia information. Auto face annotation can be beneficial to many real world applications. Face annotation related t...

 Evaluation and Optimization of Machining Parameter for turning of EN 8 steel

 This study used for optimization and evaluation of machining parameters for turning on EN8 steel on Lathe machine. This study investigates the use of tool materials and process parameters for machining forces for...

 Design and Development of a Hand-glove Controlled Wheel Chair Based on MEMS

 This paper presents the Design And evelopment of a Hand-glove controlled wheel chair based on MEMS. This paper purpose of life in the lives of disabled people based on MEMS, The aim at incorporating the modern...

A Simple Method For Operating The Three-Phase Induction Motor On Single Phase Supply (For Wye Connection Standard)

This research is purposed to establish a new method is good and simple to operate the 3-phase induction motor on single-phase power by using the capacitors. The research was conducted at the Laboratory of the Electrical...

 Analyzing the Effects of Different Multimedia Materials on Learning System

 Personalized learning has recently become an innovative trend in digital learning. The adaptive material could enhance the intention of learning, and motivate learner to concentrate on learning activity. Informatio...

Download PDF file
  • EP ID EP109361
  • DOI -
  • Views 114
  • Downloads 0

How To Cite

Gopal Krishan (2013).  Brain Signals and Alcoholism. INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY, 4(5), 1998-2002. https://europub.co.uk/articles/-A-109361