TY - JOUR
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
PY - 2021
Y1 - 2021
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.
KW - Empirical mode decomposition
KW - Intracranial pressure
KW - Intrinsic mode function
KW - Spike detection
UR - http://www.scopus.com/inward/record.url?scp=85104140898&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-59436-7_39
DO - 10.1007/978-3-030-59436-7_39
M3 - Journal article
C2 - 33839845
SN - 0065-1419
VL - 131
SP - 201
EP - 205
JO - Acta Neurochirurgica, Supplement
JF - Acta Neurochirurgica, Supplement
ER -