NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
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Updated
Jul 4, 2024 - Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
real time application to measure heart rate
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
Remote heart rate detection through Eulerian magnification of face videos
ECG classification programs based on ML/DL methods
Code I used when filming Steve Mould’s heart rate! https://www.youtube.com/watch?v=BFZxlauizx0
MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)
A graphical user interface for feature extraction from heart- and breathing biosignals.
Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.
End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation. A replication of the RhythmNet model.
Intelligent Driver Monitoring system for Autonomous Vehicles
Analyzing all my Quantified Self data
PyTorch implementation of pulse measurement neural networks.
Detects anomalous resting heart rate from smartwatch data.
real-time application for video-based methods in the context of MRI
First place solution for "medicine" topic in AI Challenge 2023
Calculates time and frequency domain heart rate variability metrics (validated in Kubios) from RR interval (ECG) or IBI (PPG).
Python program to run on a Raspberry Pi to measure heart and respiratory rate with a radar.
Fast and sample-accurate R-peak detectors based on Visisbility Graphs
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