Available fNIRS dataset collected by and published in Giorjiani et al., 2020 - doi: 10.1007/s00221-020-05904-w
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Updated
Mar 8, 2021 - Smarty
Available fNIRS dataset collected by and published in Giorjiani et al., 2020 - doi: 10.1007/s00221-020-05904-w
This is the MATLAB function to read fNIRS signal provided on physionet
University project that involves Machine Learning a series of brain activity data captured from fNIRS scanners, in order to measure a person's stress level using only freely available sensors such as Heart Rate or Skin Resistance monitors.
MATLAB Application & Toolbox for fNIRS data processing and visualization
It collects the device data from the hardware while watching test videos and stores the results for each test user.
PyCharm script for testing triggers in Turbo-Satori. It connects to Turbo-Satori and sends rest and task triggers over a number of trials. Each new task period is its separate condition.
CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification
Python API for the ALS Voice Human-Computer and Brain-Computer Interfaces.
This project explores real multichannel functional near-infrared spectroscopy (fNIRS) data, a non-invasive neuroimaging technique.
Wrapper for MNE that makes fNIRS data analysis easier
NIRS-VIS is a Master Thesis Project for decoding visual stimuli from fNIRS brain data with transformers and autoencoders via Pytorch
Code for the BayesCMD version of the BCMD framework
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