Title :
A review on analysis of EEG signals
Author :
Kaur, Jasjeet ; Kaur, Amanpreet
Author_Institution :
Electron. & Commun. Eng. Dept., Thapar Univ., Patiala, India
Abstract :
Electroencephalography (EEG) enlighten about the state of the brain i.e. about the electrical bustle going on in the brain. The electrical activity measured as voltage at different points of brain act as basis of EEG. These signals are generally time-varying and non-stationary in nature. These signals can be scrutinized using various signal processing techniques. In this paper, few statistical approaches to analyze EEG data are conversed.
Keywords :
bioelectric potentials; electroencephalography; medical signal processing; statistical analysis; EEG signal analysis; brain; electrical bustle; electrical voltage; electroencephalography; signal processing; statistical approaches; time-varying nonstationary signals; Brain modeling; Electrodes; Electroencephalography; Mathematical model; Principal component analysis; Wavelet transforms; EEG signals; analysis; methods;
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
DOI :
10.1109/ICACEA.2015.7164844
