fNIRS signal processing simplified

NIRSimple is a Python 3 package for fNIRS with a focus on signal processing. It gives control on preprocessing and processing, enabling to adjust parameters and use different methods from the scientific literature.

This package handles data as numpy arrays. It can be used with MNE pipelines by creating MNE-specific objects (Raw, Epochs, …) from numpy arrays.

  • conversion from light intensity to optical density changes

  • differential pathlength factor (DPF) from wavelength and age

  • conversion from optical density changes to hemoglobin concentration changes with the modified Beer-Lambert law (options for different extinction coefficient tables)

  • signal correction with correlation based signal improvement (CBSI)

Source code on GitHub


Until there is an article specifically on NIRSimple, please cite this article.

Indices and tables