Title :
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
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;
Conference_Titel :
GCC Conference & Exhibition, 2009 5th IEEE
Conference_Location :
Kuwait City
Print_ISBN :
978-1-4244-3885-3
DOI :
10.1109/IEEEGCC.2009.5734296
