Literature DB >> 33742345

Emulation of the BIS engine.

Christopher W Connor1,2.   

Abstract

The operation of the BIS monitor remains undescribed, despite 20 years of clinical use and 3000 academic articles. The core algorithmic software (the BIS Engine) can be retrieved from the motherboard of the A-2000 monitor in binary form through forensic disassembly using debugging interfaces left in place by the original designers, opening the possibility of executing the BIS algorithms on contemporary computers through emulation. Three steps were required for emulation. Firstly, the monitor input stage monitor was disassembled to determine how EEG signals can be compatibly presented to the Engine. Secondly, the Digital Signal Processor on which the Engine executes was recreated in software. Thirdly, the Engine code was patched, allowing execution separated from monitor hardware. Code performance under noise load was evaluated. EEG signals and BIS variables were obtained from a 13-year-old child in normal physiological sleep using a modern BIS monitor. BIS values in sleeping children exhibit a wide dynamic range, including values nominally associated with clinical anesthesia, providing a risk-free technique to obtain empirical EEG data that broadly exercise the algorithms. Emulation demonstrated a correlation coefficient of R = 0.943, consistent with correlations between official Engine iterations. Additive white noise in the EEG caused a progressive lifting and flattening of BIS values. Emulation replicates BIS Engine behavior, allowing calculation upon existing EEG datasets or signals from other, potentially remote or wireless, devices. Emulation provides advantages for elucidating the mathematical expression of the algorithms, which remain important as practical constraints on any hypothetical mechanism of action of anesthetics.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.

Entities:  

Keywords:  Biomedical engineering; Depth‐of‐anesthesia monitors; Emulation; Intraoperative monitoring; Processed EEG; Signal encoding

Mesh:

Substances:

Year:  2021        PMID: 33742345      PMCID: PMC8449791          DOI: 10.1007/s10877-021-00676-2

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  3 in total

1.  Utility of the bispectral index for assessing natural physiological sleep stages in children and young adults.

Authors:  Mohamed-Rida Benissa; Sonia Khirani; Sarah Hartley; Annie Adala; Adriana Ramirez; Marta Fernandez-Bolanos; Maria-Antonia Quera-Salva; Brigitte Fauroux
Journal:  J Clin Monit Comput       Date:  2015-10-29       Impact factor: 2.502

2.  Gamma rhythms in the brain.

Authors:  Xiaoxuan Jia; Adam Kohn
Journal:  PLoS Biol       Date:  2011-04-12       Impact factor: 8.029

3.  Carbon nanofiber-filled conductive silicone elastomers as soft, dry bioelectronic interfaces.

Authors:  Geoffrey A Slipher; W David Hairston; J Cortney Bradford; Erich D Bain; Randy A Mrozek
Journal:  PLoS One       Date:  2018-02-06       Impact factor: 3.240

  3 in total

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