NeuroKit
fooof
NeuroKit | fooof | |
---|---|---|
1 | 1 | |
1,386 | 340 | |
3.6% | 2.1% | |
9.2 | 9.0 | |
about 1 month ago | 6 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NeuroKit
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Help in getting ECG waveforms or HR, HRV from PolarH10
I 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.
fooof
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Issues interpreting EEG data
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.
What are some alternatives?
pyVHR - Python framework for Virtual Heart Rate
EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface [Moved to: https://github.com/HackerBCI/EEGwithRaspberryPI]
EEG-with-JetsonNano - Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG (In progress)
python-meegkit - 🔧🧠MEEGkit: MEG & EEG processing toolkit in Python
BIOBSS - A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
Kilosort - Fast spike sorting with drift correction for up to a thousand channels
Pathfinder - Search Strategy analysis and more for spatial navigation data in rodents
EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface
polar-ble-sdk - Repository includes SDK and code examples. More info https://polar.com/en/developers
brainstorm3 - Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
PulseSensorPlayground - A PulseSensor library (for Arduino) that collects our most popular projects in one place.
TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"