NeuroKit Alternatives
Similar projects and alternatives to NeuroKit
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Nutrient
Nutrient - The #1 PDF SDK Library. Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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EEG-with-JetsonNano
Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG
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Pathfinder
Search Strategy analysis and more for spatial navigation data in rodents (by MatthewBCooke)
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BIOBSS
A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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BioAmp-EXG-Pill
BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.
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PulseSensorPlayground
A PulseSensor library (for Arduino) that collects our most popular projects in one place.
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eulerian-remote-heartrate-detection
Remote heart rate detection through Eulerian magnification of face videos
NeuroKit discussion
NeuroKit reviews and mentions
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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.
Stats
neuropsychology/NeuroKit is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of NeuroKit is Python.