Open access EEG data via DICOM standard

Johannes Koren, Silvia Winkler, Clemens Lang (Vortragende:r), Franz Fürbass, Laura Gschwandtner, Christoph Baumgartner

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung


Purpose: To discuss and promote a unified standard format for EEG and other neurophysiological data (DICOM) to improve clinical care and fuel future research, which rely on data exchange. The ability to access and share EEG data between different healthcare providers is currently limited due to a myriad of different file formats and proprietary access protocols used by manufactures of EEG equipment. No unified and clinical established EEG data format with the ability for long-term storage in current hospital data systems is used today. Access to legacy EEG data, especially with rare pathologic activity such as seizures, would be invaluable for healthcare providers, researchers and patients due to several reasons: 1) improved analytical EEG methods that increase diagnostic yield; 2) new therapeutic options in the future which use EEG biomarkers; 3) differential diagnosis or reassessment of initial diagnosis if a specific therapy is unsuccessful (Halford JJ et al. Clin Neurophysiol 2021; 132(4):993-7). Methods: To implement a standardized format in neurophysiology, the DICOM Working Group 32 was established in 2018 ( DICOM offers an ideal environment to achieve neurophysiology format standardization because neurophysiological data can be easily integrated with existing DICOM-supported elements such as video, ECG, and images. It also provides easy integration into existing hospital PACS long-term storage systems. An ongoing pilot project was established in June 2019 consisting of an automated workflow which archives long-term EEG monitoring data after review into the existing data storage system of public hospitals in Vienna. Results: 123 individual long-term EEG monitoring sessions were successfully archived and 100% could be retrieved and read via a DICOM EEG review software (Encevis). Conclusion: Our pilot project showed that a workflow of automatically archiving long-term EEG monitoring data after review and their storage as well as access via existing data storage systems of public hospitals is feasible.
TitelSpecial Issue:14th European Epilepsy Congress Geneva, Switzerland & Online 9–13 July 2022
Redakteure/-innenMichael R. Sperling
Herausgeber (Verlag)Wiley
PublikationsstatusVeröffentlicht - 2022
Veranstaltung14th European Epilepsy Congress Geneva, Switzerland -
Dauer: 9 Juli 202213 Juli 2022


Konferenz14th European Epilepsy Congress Geneva, Switzerland

Research Field

  • Medical Signal Analysis


  • PACS


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