A Review of Wavelet Transform Time–Frequency Methods for NIRS-Based Analysis of Cerebral Autoregulation


Close to-infrared spectroscopy (NIRS) has been proposed as a suitable technique for the analysis of cerebral autoregulation as it provides a simpler acquisition methodology and more artifact-free signal. A range of refined wavelet transform strategies have recently emerged to quantify the cerebral autoregulation mechanism using NIRS and blood pressure signals. These provide an enhanced partitioning of signal information via the time-frequency plane, that facilitates improved extraction of the components of interest. This space is reviewed, and enhancements to this type of research are urged.

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