An audio interface is supposed to be better for
learning to generate alpha waves. www.biocybernaut.com
talks about them. The one I found relevant was
http://www.biocybernaut.com/publications/discovery2.html
Basically, it seems we could:
1. Separate out the alpha wave (or theta, or whatever)
2. Maybe do some transforms (such as amplitude
increases)
3. Feed it straight to a wave device
I hope we can do one sometime (and one that works with
Linux! :) ).
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Oops, binaural beats are an entrainment method, make that
monaural beats, we don't want to mess up any epeleptics.
- Jerry
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http://gauss.bacon.su.se/EP/3/8/EP381090.html
Feedback Tones
Tones are the principal mechanism for real-time feedback
employed for EEG training in accordance with the invention.
Tones must be maintained at substantial volume and duration
for rapid learning of self control. Tone quality is also critical to
learning control. It has been discovered in the course of work
leading to the present invention that tone frequency is critical
determinants of learning. For example, tone onset causes
blocking (abolition or diminution) of EEG alpha as a nonlinear
function of tone frequency. It was discovered that blocking
duration is minimal between about 400 Hz and 800 Hz and
that above and below these frequencies, blocking duration
rose rapidly. If tone onset occurs in response (feedback) to
alpha onset and if tone onset causes alpha blocking, then the
result is negative feedback and is thus unlikely to promote
learning of alpha EEG control.According to the invention
therefore, the tones are chosen to lie only between about 400
Hz and 800 Hz for alpha training.
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hmm, interesting.
I must totally agree; while braintraining last year I
realized that having to keep my eyes in one place (to see my
progress) was actually pretty distracting to the process. I
guess this can be done with software for now, though.