How does the app determine “calm” vs. “active” states? Is it looking for e.g. increases in alpha and theta power [Fell et al., 2010] or lower trait frontal gamma but higher trait posterior gamma power [Berkovich-Ohana et al., 2011] or some other published effect of meditation on EEG?
I would also be interested in whether there is a way of exporting the data recorded by the app for manual processing (either the raw signals, or the little calm vs. active charts, or preferably both)?
An answer by a Muse employee would be appreciated (but if anyone in the community has some info, feel free to share it).
[I]Berkovich-Ohana, Aviva, Joseph Glicksohn, and Abraham Goldstein. “Mindfulness-induced changes in gamma band activity–implications for the default mode network, self-reference and attention.” Clinical Neurophysiology 123.4 (2012): 700-710.
Fell, Juergen, Nikolai Axmacher, and Sven Haupt. “From alpha to gamma: Electrophysiological correlates of meditation-related states of consciousness.”[I]Medical hypotheses[/I] 75.2 (2010): 218-224.[/I]