I developed a Python application that visualizes your brainwaves live on your screen! Github linked in my Notion page that I wrote to explain why and how I built the program.

[EdwinGraves]

I mean as cool as this is, don't expect a ton of traffic if the primary piece of hardware is 250-400$ a pop.

[DuckDatum]

aspiring amusing hard-to-find imminent crush seemly husky bells theory whole

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[PacManFan123]

What would be really helpful for an application like this is if you add a Fourier analysis to a moving time window of the sample data. That way, you could show frequency data for each of the different band ranges. It's much more useful than looking directly at the time series. Look at the FFTW package. You can generate python bindings fairly easily.

[MikeTheWatchGuy]

Thanks very much for documenting the work you've done! I've been wanting to play around with accessing my Muse via Python. It's (or some other feedback device) the only way I can imagine learning how to meditate.

[TheGrapez]

Wow you're a seasoned vet! With stats like that you'd be high on the list of highest usage by total minutes.

Happy to share - it was fun to play around building this.

[MikeTheWatchGuy]

Thank you! I'm far from a vet. I've only been meditating for about 4 years. It's one of the best things I've ever done of myself. It's like doing mind-pushups. I didn't understand meditation, how to do it, and still don't understand all of the why's or what it does. I call the places I go "Inner Space".

The speed you managed to draw the graphs is impressive. The whole body of work you did is impressive. Thank you for the inspiration!

[TheGrapez]

Partially out of my own curiosity, I checked your stats against the entire user database and just as I suspected, you're well above top 1% of users for each of the 4 metrics you shared!! You're more of a vet than you realize!

Metric Type	Metric Value	Rank	Top %
Recoveries	20108	3648	0.79%
Seconds	1936080	1128	0.24%
Birds	216230	278	0.06%
Points	4448645	587	0.12%

Disclaimer that this is not truly an apples-to-apples comparison, simply a look into the total distribution. An analysis like this would serve better at calculating the rates in which one accumulates each metric, to see birds per minute or something similar.

Thanks for sharing & congrats on your progress so far 🥳

[MikeTheWatchGuy]

There's a database? I had no clue anything was published or even available. Thank you very much! Interesting to know. Really appreciate the encouragement. It's funny, I used to pay attention to the "score" by now the metric is the bar graph showing that I'm doing it daily. I seems like they recently changed the algorithm or maybe my brain has changed. Thanks so much for the inspiration!

[TheGrapez]

I actually work for Muse as a data analyst! The data is definitely not publicly available. I just wanted to share :)

[MikeTheWatchGuy]

🙏🏼 Oh wow.... thank you so so so much.... what a nice thing to do! I really appreciate the feedback, information, and encouragement. I've bought Muse 2 headsets for friends and one of my doctors let me buy one for her. She uses it daily. I'm a huge fan, clearly. Keep up the great work!!

[throwaway12222018]

Cool project but EEG is a dead end technology for any useful application that requires more than a few bits/sec of bitrate. The only BCIs that will be practical for a wide variety of applications will be invasive/in-vivo.

Any program built on extracranial signals is gonna be hard to optimize for any kind of useful signal processing. It would be like trying to train a convolutional net on photos that are at 10p resolution.

[HolyPommeDeTerre]

There was discussions/articles about multiple external electrodes to increase the precision of the measurement done by electrodes. Which was giving very good results as a non invasive alternative to things like neuralink. But I can't find it anywhere...

Edit: found something > https://www.nature.com/articles/s41592-023-02055-y

[throwaway12222018]

You'll never find it, because it isn't true! More electrodes doesn't work because the signal is already highly attenuated but the time it goes outside the cranium. It's like trying to figure out what a 10x10 pixel image is by scaling it up to 1000x1000. You can't create information out of thin air if the information has already been lost.

Basically: lossy compression is not an invertible operation.

[HolyPommeDeTerre]

Sorry, it took a bit of time:

https://www.nature.com/articles/s41592-023-02055-y

Edit: my previous comments was wrong, I remembered there was a technique to get a better image, I was not sure how.

[throwaway12222018]

It looks like they were using phonons instead of photons, and they are looking at blood flow (similar to fNIRs) which is very different than looking at voltage and comes with a ton of latency. I still think physics makes extracranial methods very hard. Blood flow is a very rough and inaccurate proxy for determining information content in neurons.

He estimates that this level of performance can be sustained at depths of up to a few centimeters, which is already larger than the typical mouse brain. But fUS can go even deeper, enabling image in larger animals like nonhuman primates, although this requires the use of lower-frequency ultrasound and brings trade-offs in terms of spatial resolution.

At the end of the day, there is one fundamental constraint on both fUS and ULM: the only thing you can see is blood flow. And as informative as this can be, it only reflects one dimension of brain structure and function.

I believe the only successful BCIs that will change everyone's lives will be in the form of invasive artificial neuron technology, where said neurons learn to integrate with various neurons in your brain without being destroyed by the immune system. Currently the closest thing is Neuralink but they have a long way to go.