|
|||||
|
|
Frequency domain analysis and the application for extracting electroencephalogram signal characteristic waves |
|
| Authors: | LIU Yu hong XIE Zheng xiang XIONG Xing liang WANG Zhi fang LI Hong WANG Ying |
| Affiliation: | Department of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, P. R. China;Department of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, P. R. China;Department of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, P. R. China;Department of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, P. R. China;Department of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, P. R. China;Department of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, P. R. China |
| Abstract: | A new quantitative analysis method to describe the dynamic variation of electroencephalogram (EEG) signals was proposed. Based on the Fourier transformation, the method is called Fourier multi resolution analysis (FMRA). FMRA decomposes the frequency domain with a binary system and can resolve EEG signals into the basic rhythms of the four waves to study the dynamic characteristics of EEG signal rhythms. FMRA has clear physical meaning, and can obtain more information than wavelet multi resolution analysis does. FMRA can extract perfectly the rhythmic characteristics of EEG signals in the time and frequency domains. |
| Keywords: | electroencephalogram signal wavelet transform Fourier multi resolution analysis fast Fourier transform |
| 点击此处可从《保鲜与加工》浏览原始摘要信息 | |
| 点击此处可从《保鲜与加工》下载全文 | |