I am doing EEG research. Assume that i have a EEG data that contains 100 EEG signals and two channels. For each EEG signal, i segment it into 50 segments. So, i will have a total of 10000 segments (100 x 2 x 50).
Now, i apply feature extraction to extract feature (such as mean) from the segments. May i know the matrix of the feature vector ?
Is that my feature vector will be 100 instances x 100 features ? or it will be 5000 instances x 2 features ?
Thank you
Jingwei,
maybe you could find some suggestions by reading:Conference Paper A Feature Extraction Framework for Time Series Analysis. An ...
https://waset.org/Publications/from-electroencephalogram-to-epileptic-seizures-detection-by-using-artificial-neural-networks/10010656
Stay well,
Gaetano
Hello, how are you? Could you help me with the answer to a question I have:
I am currently starting in the world of BCI systems, so I am making recordings in Emotiv PRO through thoughts (mental commands), and the moment I export the file in .csv format I realize that the values generated in the 5 columns corresponding to the channels EEG.AF3 EEG.T7 EEG.Pz EEG.T8 EEG.AF4, they have values around 4000, but when I make another recording with a mental command (thinking different from the previous one) I can also appreciate that the values that continue to be generated in said file corresponding to the channels EEG.AF3 EEG.T7 EEG.Pz EEG.T8 EEG.AF4 likewise have values around 4000, because these values are almost always the same regardless of the type of mental command (thought) you are recording.
Thank you
Eddy
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