Title :
Time-Frequency Analysis Method of Cerebral Blood and Oxygen Signals Based On Wavelet Decomposition
Author :
Lu, Qiu-Yan ; Li, Kai-Yang
Author_Institution :
Dept of Phys., Wuhan Univ., Wuhan
Abstract :
The aim of this study was to compare two approaches for analyzing cerebral blood and oxygen signal: the Fast Fourier Transform (FFT), Wavelet Decomposition Power Spectral Analysis, which were obtained in order to know abundant frequency components. The comparison shows that WD method often had better results for the spectral resolution than the FFT. Several conclusions drawn in this paper may be of great value in the objectivity study of brain-condition and in the non-invasive diagnosis of NIS.
Keywords :
blood; brain; fast Fourier transforms; medical signal processing; time-frequency analysis; wavelet transforms; brain condition; cerebral blood signal; cerebral oxygen signal; fast Fourier transform; near-infrared spectroscopy; noninvasive diagnosis; time-frequency analysis; wavelet decomposition power spectral analysis; Absorption; Biochemistry; Biomedical monitoring; Blood; Optical scattering; Oxygen; Signal analysis; Spectroscopy; Time frequency analysis; Wavelet analysis;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
DOI :
10.1109/ICBBE.2007.215
