I am planning out a dissertation study of Brain-computer Interface (a.k.a. Brain-machine Interface, BCI, BMI, etc) applications.
One of the 3 papers in that dissertation will involve collecting original data, analyzing it, and writing a biofeedback application based upon this data.
I'm in a Computer Science department at a university which does not have a med school, so as far as I know I'll have to purchase the equipment myself out of a very modest research budget.
Thus, my question is "what's the lowest-end (i.e. cheapest) kind of EEG machine which would still be considered modern and sophisticated enough to be publication worthy in journals?".
Of course, I've done a good bit of research on this by reading recently publications on Google Scholar and will continue to do more research, but there's a lot of information overload and I have no prior background with EEG equipment, so any insight would be greatly appreciated.
From what I can tell the main thing driving price is the number of leads or sensors. They seem to range from 1 lead in consumer EEG toys to 100 leads, with a lot of products being advertised that have 16 or 24 leads. There are of course a lot of other features, so feel free to answer using either specific products or in terms of whatever features you've found important.