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Detecting sepsis from photoplethysmography : strategies for dataset preparation |
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| Author: | Lombardi, Sara1; Partanen, Petri2; Bocchi, Leonardo1 |
| Organizations: |
1Department of Information Engineering, University of Florence, Italy 2Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2023022428609 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2022
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| Publish Date: | 2023-02-24 |
| Description: |
AbstractSepsis is one of the most frequent causes of death in Intensive Care Units, and its prognosis greatly depend on timeliness of diagnosis. MIMIC-III database is a frequent source of data for developing method for automatic sepsis detection. However, the heterogeneity of data jeopardize the feasibility of the task. In this work we propose a selection strategy for generating high quality data suitable for training a sepsis detection system based on the utilization of only plethysmographic data. Clinical relevance A system for detecting sepsis based only on PPG may be potentially at virtually no cost in any case clinicians suspect the possibility of developing sepsis. see all
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| Series: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
| ISSN: | 2375-7477 |
| ISSN-E: | 2694-0604 |
| ISSN-L: | 2375-7477 |
| ISBN: | 978-1-7281-2782-8 |
| ISBN Print: | 978-1-7281-2783-5 |
| Pages: | 2286 - 2289 |
| Article number: | 9871973 |
| DOI: | 10.1109/embc48229.2022.9871973 |
| OADOI: | https://oadoi.org/10.1109/embc48229.2022.9871973 |
| Host publication: |
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
| Conference: |
Annual International Conference of the IEEE Engineering in Medicine & Biology Society |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
217 Medical engineering |
| Subjects: | |
| Copyright information: |
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