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Top 12 Python Eeg Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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tinysleepnet
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
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thesis
MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch) (by ErikBjare)
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athlete_data_warehouse
A tool for bulk download, formatting and SQL DB storage of exercise, training, nutrition, wellness and health data from various trackers.
Project mention: Help in getting ECG waveforms or HR, HRV from PolarH10 | /r/Polarfitness | 2023-05-15I am aware of the official Polar support available here: https://github.com/polarofficial/polar-ble-sdk/issues. However, as it only provides support for Android and iOS, it doesn't fulfill my requirements. My task needs me to obtain these APIs on a Linux platform, as I intend to convert this data for use with the ROS publisher and subscriber later. I am also open to look for other feasible solution for Linux, and I'm open to exploring other reliable GitHub repositories that could help me capture ECG waveforms or directly obtain HR, HRV, and Respiration Rate values from the devices directly. I was hopeful about this one - https://github.com/neuropsychology/NeuroKit, but it turns out that it needs the ECG waveforms to be saved independently and later these signals would be processed offline. (Not real time). I also found this other repositories that I think would be useful but not too sure - https://github.com/kbre93/dont-hold-your-breath.
Project mention: [D] [P] Need help in my Thesis project "A comparison study of EEG analysis by Deep Learning vs Expert board cerrtified Neurologist analysis for 100 patient data | /r/deeplearning | 2023-05-03Till now i have found only 1 open source model (aka BRAINCODE) that can be used (I will try to make a setup and analyse its feasability , it looks like it can be used as far as i can understnad from its Github reprository (https://github.com/braindecode/braindecode/)
If you are looking for datasets I would recommend OpenNeuro or NEMAR. Highly recommend you check out https://github.com/Neurotechx/moabb though and focus on results across datasets
If you have experience with Python, you can use the FOOOF (Fitting Oscillations & One Over F) toolbox to analyze your EEG data and find the highest peak in the theta band for each electrode.
Python Eeg related posts
- DIY Neurotech:Making BCI open-source thrusts brain-signal into a maker’s world
- Affordable Device Will Let Anyone Connect Their Brain to a Computer
- This Affordable Device Will Let Anyone Connect Their Brain to a Computer
- I use fire as a game control pad
- PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to Measure Biosignals
- [R] A benchmarking framework for time-series unsupervised domain adaptation
- Raspberry Pi Shield – For Measure EEG (Pieeg)
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
Index
What are some of the best open-source Eeg projects in Python? This list will help you:
Project | Stars | |
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1 | NeuroKit | 1,373 |
2 | EEGwithRaspberryPI | 824 |
3 | braindecode | 698 |
4 | moabb | 614 |
5 | fooof | 340 |
6 | TS-TCC | 309 |
7 | python-meegkit | 166 |
8 | AdaTime | 147 |
9 | tinysleepnet | 95 |
10 | thesis | 66 |
11 | 3.eeg_recognation | 26 |
12 | athlete_data_warehouse | 24 |
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