Extraction method of the magnetoencephalography somatosensory evoked signals based on the MP decomposition / 中国医学装备

ABSTRACT

Objective:Matching pursuit algorithm(MAP),for its good parametric characterization, is applied in Magnetoencephalography(MEG) to study time-frequency distribution. Methods:This paper proposes to apply a high-resolution time-frequency analysis algorithm, the matching pursuit (MP), to extract detailed time-frequency components of SEF signals. Results: Experimental results on cortical SEF signals of several normal subjects show that a series of stable SEF time components can be identified using the MP decomposition algorithm. Conclusion:This study shows that there is a set of stable and minute time-frequency componentsin SEF signals, which are revealed by the MP decomposition. These stable SEF components have specific localizations in the time domain and may provide a reliable index for clinical research of brain function and brain disease pathogenesis.