Empirical Mode Decomposition-Based Method for Artefact Removal in Raw Intracranial Pressure Signals

Isabel Martinez-Tejada*, Jens E. Wilhjelm, Marianne Juhler, Morten Andresen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Intracranial pressure (ICP) signals are often contaminated by artefacts and segments of missing values. Some of these artefacts can be observed as very high and short spikes with a physiologically impossible high slope. The presence of these spikes reduces the accuracy of pattern recognition techniques. Thus, we propose a modified empirical mode decomposition (EMD) method for spike removal in raw ICP signals. The EMD breaks down the signal into 16 intrinsic mode functions (IMFs), combines the first 4 to localize spikes using adaptive thresholding, and then either removes or imputes the identified ICP spikes.
Original languageEnglish
Title of host publicationIntracranial Pressure and Neuromonitoring XVII
Volume131
PublisherSpringer
Publication date2021
Pages201-206
ISBN (Print)978-3-030-59435-0
ISBN (Electronic)978-3-030-59436-7
DOIs
Publication statusPublished - 2021
Event17th International Conference on Intracranial Pressure and Neuromonitoring - Leuven, Belgium
Duration: 8 Sep 201911 Sep 2019
Conference number: 17

Conference

Conference17th International Conference on Intracranial Pressure and Neuromonitoring
Number17
CountryBelgium
CityLeuven
Period08/09/201911/09/2019
SeriesActa Neurochirurgica Supplement
Volume131
ISSN0065-1419

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