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BIS 引擎仿真。

Emulation of the BIS engine.

机构信息

Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, CWN L1, Boston, MA, 02115, USA.

Departments of Physiology & Biophysics and Biomedical Engineering, Boston University, Boston, MA, USA.

出版信息

J Clin Monit Comput. 2022 Apr;36(2):483-492. doi: 10.1007/s10877-021-00676-2. Epub 2021 Mar 19.

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.

摘要

脑电双频指数监测仪的运作原理仍未被描述,尽管它已经在临床应用了 20 年,也有 3000 多篇学术文章。核心算法软件(脑电双频指数引擎)可以通过法医拆解从 A-2000 监测仪的主板上以二进制形式获取,这些拆解可以利用原始设计者留下的调试接口进行,从而有可能通过仿真在当代计算机上执行脑电双频指数算法。仿真需要三个步骤。首先,拆解监测器输入级以确定如何将 EEG 信号以兼容的方式呈现给引擎。其次,在软件中重新创建引擎执行的数字信号处理器。最后,修补引擎代码,允许从监测器硬件中分离执行。评估了噪声负载下的代码性能。使用现代脑电双频指数监测仪从一名 13 岁正常生理睡眠的儿童身上获取 EEG 信号和脑电双频指数变量。睡眠儿童的脑电双频指数值呈现出广泛的动态范围,包括与临床麻醉相关的标称值,为获取广泛锻炼算法的经验性 EEG 数据提供了一种无风险的技术。仿真显示相关系数 R=0.943,与官方引擎迭代之间的相关性一致。EEG 中的加性白噪声会导致脑电双频指数值逐渐升高和平坦化。仿真复制了脑电双频指数引擎的行为,允许在现有的 EEG 数据集或来自其他潜在远程或无线设备的信号上进行计算。仿真为阐明算法的数学表达提供了优势,这些算法在任何关于麻醉剂作用机制的实际限制方面仍然很重要。

相似文献

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Emulation of the BIS engine.BIS 引擎仿真。
J Clin Monit Comput. 2022 Apr;36(2):483-492. doi: 10.1007/s10877-021-00676-2. Epub 2021 Mar 19.
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A Forensic Disassembly of the BIS Monitor.BIS 监护仪的法医拆解
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