Application of Fuzzy Similarity Index method in hypnosis analysis

Author

Behbahani, Soroor ; Nasrabadi, Ali Motie

Author_Institution

Biomed. Eng. Dept., Islamic Azad Univ., Tehran, Iran

fYear

2009

fDate

17-19 March 2009

Firstpage

1

Lastpage

4

Abstract

The brain is a highly complex system. Understanding the behavior and dynamics of billions of interconnected neurons from the brain signal requires knowledge of several signal-processing techniques, from the linear and non-linear domains. The analysis of EEG signals plays an important role in a wide range of applications, such as psychotropic drug research, sleep studies, seizure detection and hypnosis processing. In this paper we accomplish to analyze and explore the nature of hypnosis in right, left, back and frontal hemisphere in 3 groups of hypnotizable subjects by means of Fuzzy Similarity Index method.

Keywords

electroencephalography; medical signal processing; EEG signals; brain signal; fuzzy similarity index method; hypnosis analysis; hypnosis processing; hypnotizable subjects; neurons; psychotropic drug research; seizure detection; signal-processing techniques; sleep studies; Electrodes; Electroencephalography; Entropy; Feature extraction; Fractals; Fuzzy sets; Indexes; Energy; Entropy; Frequency Band; Frontal-Back hemisphere; Fuzzy Similarity Index; Higuchi; Hypnosis; Left-Right;

fLanguage

English

Publisher

ieee

Conference_Titel

GCC Conference & Exhibition, 2009 5th IEEE

Conference_Location

Kuwait City

Print_ISBN

978-1-4244-3885-3

Type

conf

DOI

10.1109/IEEEGCC.2009.5734296

Filename

5734296