After a couple weeks with
@ChooseMuse, Iโm impressed by the idea but disappointed by signal reliability. For overnight EEG, I want clearer signal-quality history; otherwise beautiful sleep/neurofeedback summaries are hard to trust.
I tried sleeping with the Muse headband overnight, wearing it snugly, but I still seemed to lose signal more often than I expected. In the iPhone app, I couldnโt find a clear โsignal quality over timeโ or โminutes lostโ report, which would be very helpful for interpreting the sleep data.
Using Mind Monitor made the rawer side of the experience much more visible. I could see that signal quality and dropouts are not a minor technical detailโthey directly affect how much confidence I can place in sleep and neurofeedback summaries.
That said, Iโm still impressed by the direction of the technology. The โDigital Sleeping Pillโ concept is especially interesting: adaptive audio that responds to your state and tries to help you fall asleep or return to sleep feels like a real glimpse of where consumer neurotech could go.
Muse S Athena is also interesting because it combines EEG with fNIRS, so it can look not only at brainwave activity but also blood-flow / oxygenation signals.
Iโm curious to try Muse S Athena through
@Myndlift too, because their platform adds guided neurofeedback, clinician-style assessment tools, and a separate movable electrode for more structured EEG mapping.
For now, Iโm going back to HRV biofeedback. There is still a lot to learn there, and the signal feels more transparent to me.
#EEG #neurofeedback #biofeedback #sleepTracking #Muse #Myndlift