NeuroKit
dont-hold-your-breath
NeuroKit | dont-hold-your-breath | |
---|---|---|
1 | 8 | |
1,386 | 87 | |
3.6% | - | |
9.2 | 3.2 | |
30 days ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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.
dont-hold-your-breath
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Requet for some guidance on valid HRV values
So I studied the repository that I have been using for a bit https://github.com/kbre93/dont-hold-your-breath and it seems like the author has also published some results that he has obtained. From the graphs obtained, it seems like the normal value is around 300msec?
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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.
- Show HN: Don't Hold Your Breath – Breathing Analysis with Polar H10 HR Monitor
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Here's my project to explore stress control through controlled breathing using Python, BLE, and the Polar H10 Heart Rate monitor
In this project I looked into the relationship between breathing rate and heart rate variability, a common indicator of physiological stress response. Github repo: https://github.com/kbre93/dont-hold-your-breath
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Don't Hold Your Breath – Breathing analysis with Polar H10 Heart Rate Monitor
Check out the Github Repo
What are some alternatives?
pyVHR - Python framework for Virtual Heart Rate
EEG-with-JetsonNano - Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG (In progress)
BIOBSS - A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
fooof - Parameterizing neural power spectra into periodic & aperiodic components.
Pathfinder - Search Strategy analysis and more for spatial navigation data in rodents
polar-ble-sdk - Repository includes SDK and code examples. More info https://polar.com/en/developers
PulseSensorPlayground - A PulseSensor library (for Arduino) that collects our most popular projects in one place.
python-meegkit - 🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
eulerian-remote-heartrate-detection - Remote heart rate detection through Eulerian magnification of face videos
brainflow - BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
signalstickers-client - ⚙️🐍 A Python client for the Signal stickers API