The comparison of the extraction of beta wave from EEG between FFT and wavelet transform

• Published in: Sheng wu yi xue gong cheng xue za zhi Vol. 30; no. 4; p. 704
• Main Authors: Wang, Haowen, Qian, Zhiyu, Li, Hongjing, Chen, Chunxiao, Ding, Shangwen
• Format: Journal Article
• Language: Chinese
• Published: China 01.08.2013
• Subjects: Algorithms; Brain - physiology; Electroencephalography - methods; Fourier Analysis; Humans; Male; Signal Processing, Computer-Assisted; Television; Wavelet Analysis; Young Adult
• ISSN: 1001-5515
• DOI: 10.7507/1001-5515.20130132

In order to choose a fast and efficient real-time method in beta wave information extraction, we compared the result and the efficiency of the information separation of both fast Fourier transform (FFT) and wavelet transform of EEG beta band in the present paper. Our work provides the basis for the EEG data come from the real-time health assessment of 3DTV. We took the EEGs of 5 healthy volunteers before, after and during the process of watching 3DTV and meanwhile recorded the results. The trends of the relative energy and the time cost of two methods were compared by using both the FFT and wavelet packet transform (WPT) which was to extract the feature of EEG beta wave. It demonstrated that (1) Results of the two methods were consistent in the trends of watching 3DTV; (2) Results of the differences in two methods were consistent before and after watching 3DTV; (3) FFT took less time than the wavelet transform in the same case. It is concluded that the results of both FFT and Wavelet transform are consistent in feature extraction of EEG, and a fast method to work with the large quantities of EEG data obtained in the experiments can be offered in the future.