Adobe PDF
(226.97 kB)
| Title Details: | |
|
Electroencephalogram |
|
| Other Titles: |
Basic Principles and Processing Techniques |
| Authors: |
Tsipouras, Markos Giannakeas, Nikolaos Karvounis, Evangelos Tzallas, Alexandros |
| Reviewer: |
Angelidis, Pantelis |
| Subject: | MEDICINE AND HEALTH SCIENCES, LIFE SCIENCES, BIOLOGICAL SCIENCES > HEALTH SCIENCES > MEDICINE > NEUROLOGY ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > TELECOMMUNICATIONS ENGINEERING AND TECHNOLOGY > SIGNAL PROCESSING ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > INDUSTRIAL TECHNOLOGY AND ENGINEERING > DECISION SUPPORT SYSTEMS AND EXPERT SYSTEMS ENGINEERING AND TECHNOLOGY > TECHNOLOGICAL SCIENCES AND ENGINEERING > MEDICAL ENGINEERING AND TECHNOLOGY > MEDICAL INFORMATICS LAW AND SOCIAL SCIENCES > PSYCHOLOGY > PSYCHOLOGICAL AND PHYSICAL DISORDERS > NEUROLOGICAL DISORDERS AND BRAIN DAMAGE |
| Keywords: |
Electroencephalogram
Digital Electroencephalogram Processing EEG |
| Description: | |
| Abstract: |
The electroencephalogram is a recording of the electrical activity in the brain generally measured at the scalp. Although the origin of the electroencephalogram is not completely understood, it is generally accepted that it represents the averaged activity of many millions of neurons in the brain, after being filtered by layers of fat, bone and cerebrospinal fluid. This aside, the electroencephalogram has been found be a valuable tool in the diagnosis of numerous brain disorders. This chapter initially gives a brief overview of the history and the origin of the electroencephalogram before reviewing standard recording techniques, signal processing and analysis methods.
|
| Table of Contents: |
CHAPTER 9 - ELECTROENCEPHALOGRAM
9.1. THE HUMAN BRAIN 9.1.1. PRINCIPLES OF HUMAN BRAIN ORGANIZATION AND FUNCTIONS 9.1.2. BRAIN CELLS 9.1.3. THE ELECTRICAL ACTIVITY OF THE HUMAN BRAIN 9.2. HISTORY AND EVOLUTION OF THE EEG: INSTRUMENTS AND TECHNIQUES 9.2.1. EEG SIGNAL ACQUISITION 9.2.2. RECORDING ELECTRODES 9.2.3. EEG AMPLIFICATION 9.2.4. FILTERING 9.2.5. EEG DATA STORAGE 9.2.6. EEG 9.3. EEG SIGNAL PROCESSING AND ANALYSIS 9.3.1. EEG SIGNAL PROPERTIES 9.3.2. EEG PREPROCESSING 9.3.3. LINEAR METHODS 9.3.4. NON-LINEAR METHODS 9.4. BRAIN ACTIVITY AND FUNCTIONAL IMAGING 9.4.1. MULTICHANNEL BRAIN ACTIVITY MAPPING 9.4.2. SOURCE LOCALIZATION 9.4.3. SOURCE MODEL 9.4.4. HEAD MODEL 9.4.5. ELECTROENCEPHALOGRAPHY AND FUNCTIONAL MAGNETIC RESONANCE IMAGING 9.5. CONCLUSIONS AND FUTURE DIRECTIONS BIBLIOGRAPHY / REFERENCES EVALUATION CRITERIA |
| Linguistic Editors: |
Giannikou, Anastasia |
| Technical Editors: |
Giannakeas, Nikolaos |
| Type: |
Chapter |
| Creation Date: | 2015 |
| Item Details: | |
| License: |
http://creativecommons.org/licenses/by-nc-sa/3.0/gr |
| Handle | http://hdl.handle.net/11419/2984 |
| Bibliographic Reference: | Tsipouras, M., Giannakeas, N., Karvounis, E., & Tzallas, A. (2015). Electroencephalogram [Chapter]. In Tsipouras, M., Giannakeas, N., Karvounis, E., & Tzallas, A. 2015. Medical Informatics [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/2984 |
| Language: |
Greek |
| Is Part of: |
Medical Informatics |
| Number of pages |
49 |
| Publication Origin: |
Kallipos, Open Academic Editions |