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• #File monitor for vista code#

The openibis algorithm also matches the output of the native algorithm very closely (r = 0.9395, Bland-Altman 2.62 ± 12.0) in only 64 lines of readable code whose function can be unambiguously related to observable features in the EEG signal. This precision exceeds the performance of any earlier attempt to reimplement the function of the BIS algorithms. The output of the ibis algorithm is functionally indistinguishable from the native BIS A-2000, with r = 0.9970 (0.9970-0.9971) and Bland-Altman mean difference between methods of -0.25 ± 2.6 on a unitless 0 to 100 depth-of-anesthesia scale.

Ibis was then rewritten for concision and physiological clarity to produce a novel completely clear-box depth-of-anesthesia algorithm titled openibis. These data were used to trigger the closely monitored execution of the various parts of the BIS Engine, allowing it to be reimplemented in a high-level language as an algorithm entitled ibis. We now address the fundamental questions of how these algorithms function and what they represent physiologically.ĮEG data were obtained during induction, maintenance, and emergence from 12 patients receiving customary anesthetic management for orthopedic, general, vascular, and neurosurgical procedures. Development of an emulator allowed BIS scores to be calculated from arbitrary EEG data for the first time. In previous work, an A-2000 BIS monitor was forensically disassembled and its algorithms (the BIS Engine) retrieved as machine code. If we knew, we could better understand the clinical prognostic significance of deviations in the score and make greater research advances in closed-loop control or avoiding postoperative cognitive dysfunction or juvenile neurological injury.

We do not actually know what we are measuring. Yet, the algorithms used by such monitors remain proprietary. BIS (a brand of processed electroencephalogram depth-of-anesthesia monitor) scores have become interwoven into clinical anesthesia care and research.