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Standardization of neurophysiology signal data into the DICOM® standard.
Halford, Jonathan J; Clunie, David A; Brinkmann, Benjamin H; Krefting, Dagmar; Rémi, Jan; Rosenow, Felix; Husain, Aatif; Fürbass, Franz; Andrew Ehrenberg, J; Winkler, Silvia.
Afiliación
  • Halford JJ; Department of Neurology, Medical University of South Carolina, Charleston, SC, USA. Electronic address: halfordj@musc.edu.
  • Clunie DA; PixelMed Publishing, Bangor, PA, USA. Electronic address: dclunie@dclunie.com.
  • Brinkmann BH; Departments of Biomedical Engineering and Neurology, Mayo Clinic, Rochester, MN, USA. Electronic address: Brinkmann.Benjamin@mayo.edu.
  • Krefting D; University of Applied Sciences Berlin, Berlin, Germany; Department of Medical Informatics, University Medical Center, Göttingen, Germany. Electronic address: dagmar.krefting@med.uni-goettingen.de.
  • Rémi J; Department of Neurology, Ludwig-Maximilians-University Munich, Munich, Germany. Electronic address: jan.remi@med.uni-muenchen.de.
  • Rosenow F; Department of Neurology, Goethe-Universität Frankfurt am Main, Frankfurt, Germany. Electronic address: rosenow@med.uni-frankfurt.de.
  • Husain A; Department of Neurology, Duke University Medical Center, Durham, NC, USA. Electronic address: aatif.husain@duke.edu.
  • Fürbass F; Center for Health & Bioresources, AIT Austrian Institute of Technology GmbH, Vienna, Austria. Electronic address: franz.fuerbass@ait.ac.at.
  • Andrew Ehrenberg J; Nihon Kohden America, Irvine, CA, USA. Electronic address: Andrew_Ehrenberg@nihonkohden.com.
  • Winkler S; Sigma Software Solutions OG, Vienna, Austria. Electronic address: silvia.winkler@sigmasoft.at.
Clin Neurophysiol ; 132(4): 993-997, 2021 04.
Article en En | MEDLINE | ID: mdl-33662849
ABSTRACT
A standard format for neurophysiology data is urgently needed to improve clinical care and promote research data exchange. Previous neurophysiology format standardization projects have provided valuable insights into how to accomplish the project. In medical imaging, the Digital Imaging and Communication in Medicine (DICOM) standard is widely adopted. DICOM offers a unique environment to accomplish neurophysiology format standardization because neurophysiology data can be easily integrated with existing DICOM-supported elements such as video, ECG, and images and also because it provides easy integration into hospital Picture Archiving and Communication Systems (PACS) long-term storage systems. Through the support of the International Federation of Clinical Neurophysiology (IFCN) and partners in industry, DICOM Working Group 32 (WG-32) has created an initial set of standards for routine electroencephalography (EEG), polysomnography (PSG), electromyography (EMG), and electrooculography (EOG). Longer and more complex neurophysiology data types such as high-definition EEG, long-term monitoring EEG, intracranial EEG, magnetoencephalography, advanced EMG, and evoked potentials will be added later. In order to provide for efficient data compression, a DICOM neurophysiology codec design competition will be held by the IFCN and this is currently being planned. We look forward to a future when a common DICOM neurophysiology data format makes data sharing and storage much simpler and more efficient.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador / Polisomnografía / Electroencefalografía / Electromiografía / Electrooculografía Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Clin Neurophysiol Asunto de la revista: NEUROLOGIA / PSICOFISIOLOGIA Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador / Polisomnografía / Electroencefalografía / Electromiografía / Electrooculografía Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Clin Neurophysiol Asunto de la revista: NEUROLOGIA / PSICOFISIOLOGIA Año: 2021 Tipo del documento: Article