Current dry electrode technology is nowhere close to being useful for high fidelity applications. You will need a breakthrough in ML/signal processing that can solve the cocktail party problem for a very large n. (Given the current advances in ML, I won't be surprised if we start seeing improvements in this area)
To quote professor Mike Cohen, all of neuroscience (the EEG BCI part at least) is source separation.
The author of the “great text” of EEG - where we started, too. Yeah; I was surprised with our results, but if you follow his instruction, there’s a lot one can glean.
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Current dry electrode technology is nowhere close to being useful for high fidelity applications. You will need a breakthrough in ML/signal processing that can solve the cocktail party problem for a very large n. (Given the current advances in ML, I won't be surprised if we start seeing improvements in this area)
To quote professor Mike Cohen, all of neuroscience (the EEG BCI part at least) is source separation.
https://youtube.com/@mikexcohen1/videos
The author of the “great text” of EEG - where we started, too. Yeah; I was surprised with our results, but if you follow his instruction, there’s a lot one can glean.