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

Development of FPGA based Human Voice Recognition System with MFCC feature

The voice recognition development on the hardware is also a challenging field due to minimal hardware resource utilization with higher accuracy demand. This paper described the FPGA based human voice recognition system....

 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...

 An Improved Performance of Sensorless PMSM Drive Control with Sliding Mode Observer in Low Speed Operation

 The aim of these paper is to realize a sensorless vector control scheme for a non-salient pole PMSM using a state observer of kind “Sliding Mode” for rotor flux position and speed estimation. The proposed scheme of...

 Application of Bacterial Foraging Optimisation as a De-noising filter

 De-noising of image still a concerned for researchers working in this area. It is further challenging in case of medical images mainly images of the internal organs. Various digital filters have been developed and...

 Manufacturing System: Flexibility Perspective

 Manufacturing, Planning and Control systems are one of the key that determine development of modern production systems. The article presents the importance of flexibility factor in the process of manufacturing, pla...

Download PDF file
  • EP ID EP109361
  • DOI -
  • Views 86
  • 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