Interoperable Integration of Automatic ECG Processing Using DICOMweb and the AcuWave Software Suite.
Clinical workflows
DICOM
DICOMweb
Electrocardiography
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
22 Aug 2024
22 Aug 2024
Historique:
medline:
23
8
2024
pubmed:
23
8
2024
entrez:
23
8
2024
Statut:
ppublish
Résumé
Established cardiovascular risk scores are typically based on items from structured clinical data such as age, sex, or smoking status. Cardiovascular risk is also assessed from physiological measurements such as electrocardiography (ECG). Although ECGs are standard diagnostic tools in clinical care, they are scarcely integrated into clinical information systems. To overcome this roadblock, we propose the integration of an automatic workflow for ECG processing using the DICOMweb interface to transfer ECGs in a standardised way. We implemented the workflow using non-commercial software and tested it with about 150,000 resting ECGs acquired in a maximum-care hospital. We employed Orthanc as DICOM server and AcuWave as signal processing application and implemented a fully-automated workflow which reads the ECG data and computes heart rate-related parameters. The workflow is evaluated on off-the-shelf hardware and results in an average run time of approximately 40 ms for processing a single ECG.
Identifiants
pubmed: 39176642
pii: SHTI240673
doi: 10.3233/SHTI240673
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM