Comparison of Algorithms for Artifact Detection of Perioperative Blood Pressure Data: A Retrospective Analysis
Our results support a scenario-specific approach to artifact detection, underlining the need for research into adaptive algorithms that enhance data quality for clinical and research applications.
Authors
- Lorenz Kapral (ORCID: https://orcid.org/0000-0003-3316-9024)
- Daniel Laxar (ORCID: https://orcid.org/0000-0003-4059-9647)
- Oliver Kimberger (ORCID: https://orcid.org/0000-0002-9766-1360)
- Mathias Maleczek (ORCID: https://orcid.org/0000-0002-1431-0742)
- Christoph Dibiasi (ORCID: https://orcid.org/0000-0002-2270-0089)
- Melanie Kuhrn
- Yannic-Tomas Abulesz
Institutions
- Austrian Institute for Health Technology Assessment GmbH (AT)
- Medical University of Vienna (AT)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-04-24
- DOI
- https://doi.org/10.3233/shti250171
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00