Corpus of resources for multimodal machine learning with physiological signals
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Updated
Jul 5, 2024
Corpus of resources for multimodal machine learning with physiological signals
A Python package for physyological's signals processing
Code for Neurocritical Care 2022 paper: "Classification of Level of Consciousness in a Neurological ICU Using Physiological Data"
Python3 library to format physiological files in BIDS. At the moment, it supports Acqknowledge and Labchart. BrainHack participants, check the issues with the BrainHack labels!
Supporting code for the GX Dataset
PhyAAt homepage
Systole: A python package for cardiac signal synchrony and analysis
Yet another implementation of remote photoplethysmography (rPPG) in Python
Windowed-Lagged Cross-Correlation for synchrony estimation in dyadic interactions.
python toolbox to analyse physiological signals : respiration and ECG
Physiological signals analysis for motor rehabilitation
Config files for my GitHub profile.
A simulator of the 2-element respiratory mechanics model
[ICLR 2023, Oral] SimPer: Simple Self-Supervised Learning of Periodic Targets
Preprocessing raw data from Empatica E4 wristband
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
A research project which uses GNN to analyze physiological signals.
From physiological signals to emotions through a smart wristband. In this project a program is developed for the creation of the dataset used in human experiments based on eliciting emotions by visualizing images and capturing the signals through the wristband.
Data analysis codes for the K-EmoPhone dataset
ECG classification programs based on ML/DL methods
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