International QEEG Certification Board Guideline Minimum Technical Requirements for Performing Clinical Quantitative Electroencephalography.

Tom Collura, David Cantor, Dan Chartier, Robert Crago, Allison Hartzoge, Merlyn Hurd, Cynthia Kerson, Joel Lubar, John Nash, Leslie S Prichep, Tanju Surmeli, Tiff Thompson, Mary Tracy, Robert Turner
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Abstract

Quantitative electroencephalogram (QEEG) is a technology which has grown exponentially since the foundational publication by in Science in 1997, introducing the use of age-regressed metrics to quantify characteristics of the EEG signal, enhancing the clinical utility of EEG in neuropsychiatry. Essential to the validity and reliability of QEEG metrics is standardization of multi-channel EEG data acquisition which follows the standards set forth by the American Clinical Neurophysiology Society including accurate management of artifact and facilitation of proper visual inspection of EEG paroxysmal events both of which are expanded in this guideline. Additional requirements on the selection of EEG, quality reporting, and submission of the EEG to spectral, statistical, and topographic analysis are proposed. While there are thousands of features that can be mathematically derived using QEEG, there are common features that have been most recognized and most validated in clinical use and these along with other mathematical tools, such as low resolution electromagnetic tomographic analyses (LORETA) and classifier functions, are reviewed and cautions are noted. The efficacy of QEEG in these applications depends strongly on the quality of the acquired EEG, and the correctness of subsequent inspection, selection, and processing. These recommendations which are described in the following sections as minimum standards for the use of QEEG are supported by the International QEEG Certification Board (IQCB).

国际QEEG认证委员会实施临床定量脑电图的最低技术要求指南。
定量脑电图(Quantitative encephalogram, QEEG)是一项自1997年在《科学》杂志上发表基础文章以来迅速发展起来的技术,它引入了年龄回归指标来量化脑电图信号的特征,增强了脑电图在神经精神病学中的临床应用。对QEEG指标的有效性和可靠性至关重要的是多通道EEG数据采集的标准化,该标准化遵循美国临床神经生理学学会制定的标准,包括准确管理伪迹和促进对EEG发作事件的适当目视检查,这两方面在本指南中都有所扩展。提出了对EEG的选择、质量报告和提交EEG进行频谱、统计和地形分析的附加要求。虽然使用QEEG可以从数学上推导出成千上万的特征,但在临床应用中,有一些常见的特征是最被认可和验证的,这些特征与其他数学工具(如低分辨率电磁层析分析(LORETA)和分类器功能)一起进行了回顾,并指出了注意事项。在这些应用中,QEEG的有效性在很大程度上取决于获得的EEG的质量,以及后续检查、选择和处理的正确性。这些建议在以下章节中描述为QEEG使用的最低标准,并得到国际QEEG认证委员会(IQCB)的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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