.. _sphx_glr_auto_examples_fnirs:

Classification of fNIRS
-----------------------

Using Riemannian geometry for classifying functional near-infrared spectroscopy (fNIRS) signals.



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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to classify functional near-infrared spectroscopy (fNIRS) data using block diagonal matrices for oxyhemoglobin (HbO) and deoxyhemoglobin (HbR) signals, utilizing the HybridBlocks estimator. This estimator computes block kernel or covariance matrices for each block of channels, enabling separate processing of HbO and HbR signals.">

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  :doc:`/auto_examples/fnirs/plot_classif_fnirs`

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.. toctree::
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   /auto_examples/fnirs/plot_classif_fnirs