The effect of high-frequency artifacts in arterial blood pressure waveforms on pressure reactivity index

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F24%3A00371297" target="_blank" >RIV/68407700:21460/24:00371297 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-62520-6_42" target="_blank" >https://doi.org/10.1007/978-3-031-62520-6_42</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-62520-6_42" target="_blank" >10.1007/978-3-031-62520-6_42</a>

Result language
angličtina
Original language name
The effect of high-frequency artifacts in arterial blood pressure waveforms on pressure reactivity index
Original language description
Artifact detection algorithms are gaining increasing attention in physiological signal analysis. One of the secondary parameters prone to be affected by artifacts is the Pressure reactivity index (PRx), the moving Pearson’s correlation coefficient between arterial blood pressure (ABP) and intracranial pressure used to assess cerebrovascular reactivity in traumatic brain injury patients. The aim of this study is to analyze the effect of high-frequency noise in the ABP waveform on PRx calculation. Based on the Short-Time Fourier Transform of real ABP signal with noise, noise frequency range 5–25 Hz was selected, modeled, and inserted into undisturbed physiological ABP waveform. Subsequently calculated PRx from physiological undisturbed and noisy ABP signal demonstrated the averaged median absolute deviation changed from 0.1129 to 0.1123, respectively. The study’s results suggest that although the high-frequency artifacts comply with the standard definition of an artifact, their effect on PRx value is minimal, and detection or elimination of the noise can be likely omitted in the algorithms.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Digital Health and Medical Bioengineering, Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9–10, 2023, Bucharest, Romania – Volume 2: Health Technology Assessment, Biomedical Signal Processing, Medicine and Informatics
ISBN
978-3-031-62520-6
ISSN
1680-0737
e-ISSN
1433-9277
Number of pages
7
Pages from-to
381-387
Publisher name
Springer Nature Switzerland AG
Place of publication
Basel
Event location
Bucuresti
Event date
Nov 9, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001326809000042

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