NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
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Updated
Sep 11, 2024 - Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
PPG-Based Voice Conversion
Code I used when filming Steve Mould’s heart rate! https://www.youtube.com/watch?v=BFZxlauizx0
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
The programming interface for your body and mind
A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
Systole: A python package for cardiac signal synchrony and analysis
Biosignal Processing in Python
A graphical user interface for feature extraction from heart- and breathing biosignals.
The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).
A diffusion-based cross-lingual voice conversion model, as my bachelor's thesis
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement (ACM CHIL-2021)
Package for imputing the arterial blood pressure (ABP) waveform from non-invasive physiological waveforms (PPG & ECG) using a deep neural network
Calculates time and frequency domain heart rate variability metrics (validated in Kubios) from RR interval (ECG) or IBI (PPG).
A Vital Signal Analysis Package
Interpretable Pre-Trained Transformers for Heart Time-Series Data
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