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ElVisML: an open data format for the exchange and storage of electrophysiological data in ophthalmology.

Torsten StraßerTobias PetersHerbert JägleEberhart Zrenner
Published in: Documenta ophthalmologica. Advances in ophthalmology (2017)
The open data format ElVisML ensures the quality, validity, and integrity of electrophysiological data transmission and storage as well as providing manufacturer-independent access and long-term archiving in a future-proof format. Standardization of the format of such neurophysiology data would promote the development of new techniques and open software for the use of neurophysiological data in both clinic and research.
Keyphrases
  • electronic health record
  • big data
  • minimally invasive
  • primary care
  • artificial intelligence
  • deep learning