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

P Ciarlini·P Barone
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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.

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AlgorithmsCalibrationElectrocardiographyHumansMathematical ComputingSignal Processing, Computer-AssistedJournal Article

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BibTeXRIS

P Ciarlini, P Barone. 1988. A recursive algorithm to compute the baseline drift in recorded biological signals.. https://doi.org/10.1016/0010-4809(88)90029-8

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