Hi,
I am learning about ICA (as presented here: https://www.youtube.com/watch?v=2hrYEYSycGI&list=PLXc9qfVbMMN2uDadxZ_OEsHjzcRtlLNxc&index=7).
The author states that I should ask myself if I have enough data, which should be at least 20 * "the square of your number of channels data points" (so a rule of thumb is that when I do ICA I should have 20'000 data points).
Here comes the question - what are data points? Is it 1 second times [*] number of channels?
Hi dear
I suggest you read this page for more information.
https://sccn.ucsd.edu/wiki/Makoto%27s_preprocessing_pipeline
Data points are the recorded samples. EEG signal is mainly an analogue signal, but it's digitized by sampling this signal into points. Number of samples(points) recorded per second depends on the "Sampling Frequency", which is a characteristic of the equipment and represents how many readings it can give in a second. Increasing the sampling frequency surely increases the accuracy of analysis, but requires much more computational power to process this larger amount of data. All this occurs for each channel. Example: if you have an equipment that records through 8 channels with a sampling frequency of 256Hz, then each channel gives 256 points/samples/values per second. I hope you got me right.
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