muse-lsl
labstreaminglayer
| muse-lsl | labstreaminglayer | |
|---|---|---|
| 3 | 2 | |
| 576 | 508 | |
| - | 2.0% | |
| 3.7 | 5.1 | |
| 12 days ago | about 1 month ago | |
| Python | HTML | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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muse-lsl
- Code recommendations for the MUSE 2 using Python
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Turn a Raspberry Pi into a Brain-Computer-Interface to Measure Biosignals
If you want sleep tracking, you can use Muse S [0]. You can stream EEG readings in real-time using [1].
However it's really, really hard to get _useful_ data about one's sleep. The results computed by Muse are garbage. The only successful product I know is Dreem [2] but they've exited the consumer market.
At the moment, I think the easiest way is to get an ECG (yep, for the heart, not the head) and process the readings using z3score-hrv [3].
[0]: https://choosemuse.com/muse-s/
[1]: https://github.com/alexandrebarachant/muse-lsl
[2]: https://dreem.com/
[3]: https://medium.com/neurobit-technologies/clinical-grade-slee...
- A Soft, Wearable Brain–Machine Interface
labstreaminglayer
- A Soft, Wearable Brain–Machine Interface
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Recently Bought A Muse Headband Struggling To
I received mine two days ago and also searched for SDK and community forums. This thread on GitHub is worth a read: The worst case happened: Interaxon does no longer offer the Muse SDK!!! · Issue #30 · sccn/labstreaminglayer · GitHub
What are some alternatives?
brainflow - BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface [Moved to: https://github.com/HackerBCI/EEGwithRaspberryPI]