LIANG, WEI KUANG,梁伟光,梁偉光,HUANG, NORDEN E.,黄锷,黃鍔,JUAN, CHI HUNG,阮启弘,阮啟弘
申请号：
TW104130789
公开号：
TW201711634A
申请日:
2015.09.17
申请国别(地区):
TW
年份:
2017
代理人:
摘要：
The present invention provides a method for identifying images of brain function. In the beginning, choosing one of the brain data collected by multichannel scalp EEG/MEG, and using a mode decomposition method to obtain a plurality of intrinsic mode functions for each brain data, transforming the intrinsic mode functions (IMFs) in the same frequency scale into a plurality of source IMFs by a topographic map of the cerebral cortex, and classifying each source IMF in the same frequency scale into a plurality of frequency regions corresponding to the different brain sites. Then, repeatedly choosing a source IMF, and obtaining an amplitude envelope line through each absolution value of the source IMF. Further to obtain a plurality of source first-layer amplitude IMFs decomposed from the function of the amplitude envelope line by the mode decomposition method. Until obtaining the source first-layer amplitude 1MFs from each source IMF, classifying each source first-layer amplitude IMF in the same amplitude frequency scale into a plurality of amplitude frequency regions corresponding to the different brain sites. In the end, providing a brain amplitude modulation spectrum for analyzing the relationship between each frequency region and each amplitude frequency regions.本發明提供腦功能成像辨識方法，系重複選取腦波資料，利用模態分解方法，取得固有模態函數；以訊號源重建方法將相同頻率尺度的固有模態函數轉換至訊號源空間，取得對應腦部位置的源固有模態函數；將於相同頻率尺度的源固有模態函數依照腦部位置，整理於對應不同頻率尺度的頻率區間；重複選取源固有模態函數取絕對值，由通過絕對值端點產生一振幅包絡線，利用模態分解方法，取得振幅包絡線的一階振幅固有模態函數；將相同振幅頻率尺度的源一階振幅固有模態函數依照腦部位置，整理於對應不同振幅頻率尺度的振幅頻率區間，產生全腦振幅調變頻譜。
