A Low-Rank Matrix Factorization Approach for Joint Harmonic and Baseline Noise Suppression in Biopotential Signals

Noise removal is very often a crucial step in processing and interpreting biopotential data. The noise artifacts most commonly encountered in such signals are harmonic (a.k.a. powerline) and baseline noise. Harmonic noise is characterized by a few time-variant harmonic components centered at integer multiples of the fundamental frequency (50 Hz/60 Hz). It typically arises as a combination of several unwanted effects: capacitive coupling between the subject and power lines, differences in the electrode impedances, separation between the electrodes, measurement interconnections, to name a few [1 –4].
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research