The general purpose of this Matlab toolbox is model-based physiological noise correction of fMRI data using peripheral measures of respiration and cardiac pulsation. The PhysIO Toolbox can be downloaded as part of the TAPAS software collection and integrates with SPM.

Core design goals for the toolbox were: flexibility, robustness, and quality assurance to enable physiological noise correction for large-scale and multi-center studies.

Some highlights:
1) Robust preprocessing via iterative peak detection and Hilbert-transform based estimation of respiratory volume per time, shown for noisy data and patients.
2) Flexible support of data formats (Siemens, Philips, GE, BIDS, Biopac, ...) and noise models (RETROICOR, RVHRCOR).
3) Fully automated noise correction and performance assessment for group studies.
4) Integration in fMRI processing pipelines as SPM Toolbox (Batch Editor GUI).

Relevant technical papers:
https://doi.org/10.1016/j.jneumeth.2016....
https://doi.org/10.1016/j.neuroimage.202...