MATLAB application for fNIRS data processing and visualization
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Updated
Jun 5, 2024 - MATLAB
MATLAB application for fNIRS data processing and visualization
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Python package for reading, writing and validating Shared Near Infrared Spectroscopy Format (SNIRF) files
Convert optical density data (red and infrared) from functional near infrared spectrope (fNIRS) to oxy, de-oxy haemoglobin concentrations using modified Beer-Lambert law.
Package for analysing functional near-infrared spectroscopy (fNIRS) data
Read NIRX near-infrared spectroscopy files
Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/
A classification environment which learns features of fNIRS recordings and can distinguish between children which played alone and children who played with their mothers.
CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification
A command line wrapper for the NIRS Brain AnalyzIR toolbox
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
This is the MATLAB function to read fNIRS signal provided on physionet
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