Automatic identification of intracranial pressure waveform during external ventricular drainage clamping: segmentation via wavelet analysis

Megjhani, M., Terilli, K., Kwon, S. B., Nametz, D., Weinerman, B., Velazquez, A., Ghoshal, S., Roh, D., Agarwal, S., Connolly, E. S., Claassen, J., & Park, S. (2023). Automatic identification of intracranial pressure waveform during external ventricular drainage clamping: segmentation via wavelet analysis. Physiological Measurement, 44(6), 064002. https://doi.org/10.1088/1361-6579/acdf3b
Authors:
Murad Megjhani
Kalijah Terilli
Soon Bin Kwon
Daniel Nametz
Bennett Weinerman
Angela Velazquez
Shivani Ghoshal
David Roh
Sachin Agarwal
E Sander Connolly
Jan Claassen
Soojin Park
Affiliated Authors:
Murad Megjhani
Kalijah Terilli
Soon Bin Kwon
Daniel Nametz
Bennett Weinerman
Angela Velazquez
Shivani Ghoshal
David Roh
Sachin Agarwal
E Sander Connolly
Jan Claassen
Soojin Park
Columbia Affiliation:
Subjects:
Subarachnoid Hemorrhage (MeSH)
Author Keywords:
intracranial pressure
neurocritical care
signal processing
wavelet analysis
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Publication Type:
Article
Unique ID:
10.1088/1361-6579/acdf3b
PMID:
37327793
DOI:
10.1088/1361-6579/acdf3b
Journal:
Physiological Measurement
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: