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

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

doi:10.1007/978-3-030-59436-7_39

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

Copenhagen University Hospital Herlev and Gentofte

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Intracranial Pressure and Neuromonitoring XVII
Volume	131
Publisher	Springer
Publication date	2021
Pages	201-206
ISBN (Print)	978-3-030-59435-0
ISBN (Electronic)	978-3-030-59436-7
DOIs	https://doi.org/10.1007/978-3-030-59436-7_39
Publication status	Published - 2021
Event	17th International Conference on Intracranial Pressure and Neuromonitoring - Leuven, Belgium Duration: 8 Sept 2019 → 11 Sept 2019 Conference number: 17

Conference

Conference	17th International Conference on Intracranial Pressure and Neuromonitoring
Number	17
Country/Territory	Belgium
City	Leuven
Period	08/09/2019 → 11/09/2019

Series	Acta Neurochirurgica Supplement
Volume	131
ISSN	0065-1419

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10.1007/978-3-030-59436-7_39

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@inproceedings{ff0bd391c3c44d579733533e7ba641cc,

title = "Empirical Mode Decomposition-Based Method for Artefact Removal in Raw Intracranial Pressure Signals",

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.",

author = "Isabel Martinez-Tejada and Wilhjelm, \{Jens E.\} and Marianne Juhler and Morten Andresen",

year = "2021",

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language = "English",

isbn = "978-3-030-59435-0",

volume = "131",

series = "Acta Neurochirurgica Supplement",

publisher = "Springer",

pages = "201--206",

booktitle = "Intracranial Pressure and Neuromonitoring XVII",

note = "17th International Conference on Intracranial Pressure and Neuromonitoring ; Conference date: 08-09-2019 Through 11-09-2019",

}

Martinez-Tejada, I, Wilhjelm, JE, Juhler, M & Andresen, M 2021, Empirical Mode Decomposition-Based Method for Artefact Removal in Raw Intracranial Pressure Signals. in Intracranial Pressure and Neuromonitoring XVII. vol. 131, Springer, Acta Neurochirurgica Supplement, vol. 131, pp. 201-206, 17th International Conference on Intracranial Pressure and Neuromonitoring, Leuven, Belgium, 08/09/2019. https://doi.org/10.1007/978-3-030-59436-7_39

Empirical Mode Decomposition-Based Method for Artefact Removal in Raw Intracranial Pressure Signals. / Martinez-Tejada, Isabel; Wilhjelm, Jens E.; Juhler, Marianne et al.
Intracranial Pressure and Neuromonitoring XVII. Vol. 131 Springer, 2021. p. 201-206 (Acta Neurochirurgica Supplement, Vol. 131).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Empirical Mode Decomposition-Based Method for Artefact Removal in Raw Intracranial Pressure Signals

AU - Martinez-Tejada, Isabel

AU - Wilhjelm, Jens E.

AU - Juhler, Marianne

AU - Andresen, Morten

N1 - Conference code: 17

PY - 2021

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N2 - 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.

AB - 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.

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DO - 10.1007/978-3-030-59436-7_39

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SN - 978-3-030-59435-0

VL - 131

T3 - Acta Neurochirurgica Supplement

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BT - Intracranial Pressure and Neuromonitoring XVII

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T2 - 17th International Conference on Intracranial Pressure and Neuromonitoring

Y2 - 8 September 2019 through 11 September 2019

ER -

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

Abstract

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