Evaluating cardiac noise correction approaches for non-invasive electrophysiology of the human spinal cord.

ABSTRACT: The spinal cord is an important component of the central nervous system for the processing of sensorimotor information transmitted between the body and the brain. Electrospinography (ESG) is the most accessible non-invasive technique for recording spinal signals in humans, but the detrimental impact of physiological noise (mostly of cardiac nature) has prevented widespread adoption. Here, we aim to address this issue by examining various denoising algorithms for cardiac artefact reduction-including approaches based on principal component analysis (PCA), independent component analysis (ICA), signal space projection (SSP), canonical correlation analysis (CCA), and denoising separation of sources (DSS). We observed that in situations where large number of spinal electrodes are used, ICA and S

SUBMITTER: Bailey E 

PROVIDER: S-EPMC12547440 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature