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Evaluation of intraoperative neuromonitoring (IONM) data with the Mainz IONM Quality Assurance and Analysis tool.

Thomas J MusholtJulia I Staubitz-VernazzaPetra B Musholt
Published in: BJS open (2023)
Due to high error frequencies, IONM data should undergo in-depth review and multi-step cleaning processes before analysis to standardize scientific reporting. Device software calculates latencies differently; therefore reference values are device-specific (latency) and/or set-up-specific (amplitude). Novel C2-specific reference values for latency and amplitude deviate considerably from published values.
Keyphrases
  • electronic health record
  • big data
  • data analysis
  • resting state
  • randomized controlled trial
  • patients undergoing
  • optical coherence tomography
  • functional connectivity