eog 中文意思是什麼
eog
解釋
動眼電波圖-
But, the eeg signal that we can acquired is very weak and is badly contaminated by strong background noise, such as electrooculogram ( eog ), electrocardiogram ( ecg ), and line noise ( 50hz or 60 hz power frequency interference ), etc. eeg is a typical non - stationary random signal with a certain extent of non - gaussian and non - linear character
但是我們能夠獲得的腦電信號一般非常微弱、並伴有很強的背景噪聲，是一類典型的非平穩的隨機信號，且存在一定的非高斯性和非線性。傳統的分析處理方法一般將腦電信號近似認為是線性的準平穩的高斯分佈隨機信號，這使得分析結果往往不能令人滿意、實用性差。 -
Eeg signals of each channel contain great information about brain activity, but are often contaminated with artifacts and noise, for instance, eog, ecg, emg, and line noise
舍棄被噪聲污染的腦電記錄無疑會造成數據的大量丟失，而且在臨床上往往是難以接受的。 -
The ica technique separated successfully electromyographic ( emg ) and electro - oculographic ( eog ) artifacts from eeg data ; accomplished vep strengthening and extraction ; separated watermarking and key from mixing digital image signals, even though under strong noise, the results still have very good performance index
獨立分量分析技術可以很好地分離出eeg數據中的肌電與眼動等干擾；實現了vep的增強與提取；很好地分離數字圖像信號中的水印與密鑰，即使在很強的干擾情況下，仍具有很好的性能指標。 -
Ica algorithm is used to the artifacts removing and patterns extraction of mental eeg signals from different mental tasks. the results show that ica can effectively detect, separate and remove a wide variety of artifacts from eeg recordings, such as eog, ecg by studying the eeg independent sources and their projections on human scalp, we can find that some steady independent components always appear when the subject repeats the same mental tasks
探討了ica用於思維腦電特徵提取的可行性：通過使用ica對進行不同心理作業的思維腦電進行分析處理，發現了與心理作業相對應的腦電獨立分量特徵，這些穩定的獨立分量特徵將可以為心理作業的分類和腦認知科學的研究提供新的實現方法。
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