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Standardization of neurophysiology signal data into the DICOM® standard.

Publication ,  Journal Article
Halford, JJ; Clunie, DA; Brinkmann, BH; Krefting, D; Rémi, J; Rosenow, F; Husain, A; Fürbass, F; Andrew Ehrenberg, J; Winkler, S
Published in: Clin Neurophysiol
April 2021

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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Published In

Clin Neurophysiol

DOI

EISSN

1872-8952

Publication Date

April 2021

Volume

132

Issue

4

Start / End Page

993 / 997

Location

Netherlands

Related Subject Headings

  • Signal Processing, Computer-Assisted
  • Reference Standards
  • Polysomnography
  • Neurology & Neurosurgery
  • Humans
  • Electrooculography
  • Electromyography
  • Electroencephalography
  • 17 Psychology and Cognitive Sciences
  • 11 Medical and Health Sciences
 

Citation

APA
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Halford, J. J., Clunie, D. A., Brinkmann, B. H., Krefting, D., Rémi, J., Rosenow, F., … Winkler, S. (2021). Standardization of neurophysiology signal data into the DICOM® standard. Clin Neurophysiol, 132(4), 993–997. https://doi.org/10.1016/j.clinph.2021.01.019
Halford, Jonathan J., David A. Clunie, Benjamin H. Brinkmann, Dagmar Krefting, Jan Rémi, Felix Rosenow, Aatif Husain, Franz Fürbass, J. Andrew Ehrenberg, and Silvia Winkler. “Standardization of neurophysiology signal data into the DICOM® standard.Clin Neurophysiol 132, no. 4 (April 2021): 993–97. https://doi.org/10.1016/j.clinph.2021.01.019.
Halford JJ, Clunie DA, Brinkmann BH, Krefting D, Rémi J, Rosenow F, et al. Standardization of neurophysiology signal data into the DICOM® standard. Clin Neurophysiol. 2021 Apr;132(4):993–7.
Halford, Jonathan J., et al. “Standardization of neurophysiology signal data into the DICOM® standard.Clin Neurophysiol, vol. 132, no. 4, Apr. 2021, pp. 993–97. Pubmed, doi:10.1016/j.clinph.2021.01.019.
Halford JJ, Clunie DA, Brinkmann BH, Krefting D, Rémi J, Rosenow F, Husain A, Fürbass F, Andrew Ehrenberg J, Winkler S. Standardization of neurophysiology signal data into the DICOM® standard. Clin Neurophysiol. 2021 Apr;132(4):993–997.
Journal cover image

Published In

Clin Neurophysiol

DOI

EISSN

1872-8952

Publication Date

April 2021

Volume

132

Issue

4

Start / End Page

993 / 997

Location

Netherlands

Related Subject Headings

  • Signal Processing, Computer-Assisted
  • Reference Standards
  • Polysomnography
  • Neurology & Neurosurgery
  • Humans
  • Electrooculography
  • Electromyography
  • Electroencephalography
  • 17 Psychology and Cognitive Sciences
  • 11 Medical and Health Sciences