Interoperable Integration of Automatic ECG Processing Using DICOMweb and the AcuWave Software Suite.


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
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

Pagination

1401-1405

Auteurs

Lennart Graf (L)

Dpt. of Medical Informatics, University Medical Center Göttingen, Germany.

Dagmar Krefting (D)

Dpt. of Medical Informatics, University Medical Center Göttingen, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany.

Tibor Kesztyüs (T)

Dpt. of Medical Informatics, University Medical Center Göttingen, Germany.

Maximilian Oremek (M)

Unit for Medical and Scientific Technology Development & Coordination, Coordination (MWTek), Commercial Directorate, University Hospital Bonn, University of Bonn, Bonn, Germany.
Applied Mathematical Physiology (AMP) Lab, Department of Anesthesiology & Intensive Care Medicine, University of Bonn Medical Center, Bonn, Germany.

Sven Zenker (S)

Unit for Medical and Scientific Technology Development & Coordination, Coordination (MWTek), Commercial Directorate, University Hospital Bonn, University of Bonn, Bonn, Germany.
Applied Mathematical Physiology (AMP) Lab, Department of Anesthesiology & Intensive Care Medicine, University of Bonn Medical Center, Bonn, Germany.

Nicolai Spicher (N)

Dpt. of Medical Informatics, University Medical Center Göttingen, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany.

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