A recursive algorithm to compute the baseline drift in recorded biological signals

Computers and Biomedical Research, an International Journal
P Ciarlini, P Barone

Abstract

Baseline estimation and removal is one of the main problems to overcome in order to obtain a correct interpretation of recorded biological signals. The method described in this paper is based on a new application of recursive estimation of a smoothing spline, selected to model the unknown baseline. Its advantages over conventional methods derive from these characteristics: it is parametric and recursive, it works in the time domain, and the same software can be used in different applications, since no a priori frequency knowledge is needed. In the example, the method is applied to ECG recordings and a spectral analysis is thereby shown.

References

Oct 1, 1977·Computers and Biomedical Research, an International Journal·C R Meyer, H N Keiser
Feb 1, 1985·Computers and Biomedical Research, an International Journal·C D McManusS M Lobodzinski
Dec 1, 1985·IEEE Transactions on Bio-medical Engineering·J A Van Alsté, T S Schilder

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Citations

Oct 1, 1993·International Journal of Clinical Monitoring and Computing·A DeGaetanoA V Greco
Nov 29, 2013·Science Translational Medicine·Brian Scott FergusonHyongsok Tom Soh
Aug 21, 2012·Physiological Measurement·Henian XiaXiaopeng Zhao

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