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利用脑电图记录中的音频信号作为新型“麻醉深度”监测器。

Use of audio signals derived from electroencephalographic recordings as a novel 'depth of anaesthesia' monitor.

机构信息

West of Scotland School of Anaesthesia, United Kingdom.

出版信息

Med Hypotheses. 2010 Dec;75(6):547-9. doi: 10.1016/j.mehy.2010.07.025. Epub 2010 Aug 21.

DOI:10.1016/j.mehy.2010.07.025
PMID:20728279
Abstract

Awareness under anaesthesia is an uncommon but serious phenomenon, which continues to occur despite the use of commercially available depth-of-anaesthesia (DOA) monitors. Many of these monitors use processed electroencephalographic (EEG) data to give an indication of anaesthetic depth. They all suffer from error due to electrical interference, individual variation and the inevitable inaccuracy inherent in the rendering of complex waveforms into a simplified digital score. It is recognised that, in the processing of complex analogue audio waveforms (i.e. sound), the human ear consistently outperforms the computer. I hypothesise that an audio signal derived from the raw EEG waveform could form the basis of a DOA monitor, enabling humans to directly determine whether a patient is awake or anaesthetised from sound alone. I propose to call the sounds derived from amplification of the EEG trace the 'audio EEG'.

摘要

麻醉意识是一种不常见但很严重的现象,尽管使用了市售的麻醉深度(DOA)监测仪,但这种现象仍在继续发生。这些监测仪中的许多都使用经过处理的脑电图(EEG)数据来指示麻醉深度。它们都因电干扰、个体差异以及将复杂波形转换为简化数字评分时不可避免的不准确性而存在误差。人们认识到,在处理复杂的模拟音频波形(即声音)时,人耳始终优于计算机。我假设,从原始 EEG 波形中得出的音频信号可以作为 DOA 监测仪的基础,使人类能够仅凭声音直接判断患者是否清醒或处于麻醉状态。我提议将从 EEG 迹线放大得到的声音称为“音频 EEG”。

相似文献

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Use of audio signals derived from electroencephalographic recordings as a novel 'depth of anaesthesia' monitor.利用脑电图记录中的音频信号作为新型“麻醉深度”监测器。
Med Hypotheses. 2010 Dec;75(6):547-9. doi: 10.1016/j.mehy.2010.07.025. Epub 2010 Aug 21.
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Limitations of anaesthesia depth monitoring.麻醉深度监测的局限性。
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[Is measuring the depth of anesthesia sensible? An overview on the currently available monitoring systems].[测量麻醉深度是否合理?当前可用监测系统概述]
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Processed electroencephalogram in depth of anesthesia monitoring.处理后的脑电图在麻醉深度监测中的应用。
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Proof of concept evaluation of the electroencephalophone as a discriminator between wakefulness and general anaesthesia.电听计在区分清醒和全身麻醉方面的概念验证评估。
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[Monitoring the depth of anesthesia using a fuzzy neural network based on EEG].[基于脑电图的模糊神经网络监测麻醉深度]
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Depth-of-anesthesia monitor and the frequency of intraoperative awareness.麻醉深度监测与术中知晓发生率
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Awareness during general anesthesia: new technology for an old problem.全身麻醉期间的知晓:解决老问题的新技术。
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[Neuromonitoring in anaesthesia].[麻醉中的神经监测]
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Comparison of contemporary EEG derived depth of anesthesia monitors with a 5 step validation process.当代脑电图衍生的麻醉深度监测仪与五步验证过程的比较。
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引用本文的文献

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Music of brain and music on brain: a novel EEG sonification approach.大脑的音乐与作用于大脑的音乐:一种新型脑电图声音化方法。
Cogn Neurodyn. 2019 Feb;13(1):13-31. doi: 10.1007/s11571-018-9502-4. Epub 2018 Aug 28.
2
Rapidly learned identification of epileptic seizures from sonified EEG.通过可听化脑电图快速实现癫痫发作的识别
Front Hum Neurosci. 2014 Oct 13;8:820. doi: 10.3389/fnhum.2014.00820. eCollection 2014.