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基于脑电图专家知识的脑电图记录技术质量评估

Technical quality evaluation of EEG recording based on electroencephalographers' knowledge.

作者信息

Nakamura Masatoshi, Chen Qian, Sugi Takenao, Ikeda Akio, Shibasaki Hiroshi

机构信息

Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Saga 840-8502, Japan.

出版信息

Med Eng Phys. 2005 Jan;27(1):93-100. doi: 10.1016/j.medengphy.2004.09.001.

Abstract

The aim of this study is to develop a technical quality evaluation system of electroencephalogram (EEG) recording in order to acquire technically satisfactory EEG records, which may contribute to the accuracy improvement of EEG interpretation. In our developed system, the evaluation of EEG recording comprises the detection of technical artifacts and physiological status, which indicates the recording status objectively. In addition, the caution signals to users are generated in the system according to the undesired status detected. The information displayed to users includes the updated EEG records and instant evaluation results. Two examples of evaluation results are introduced in this paper, illustrating unsatisfactory records and artifact free records, respectively. The experimental results are proposed to verify the effectiveness of the technical quality evaluation of EEG recording. The implementation of the technical quality evaluation of EEG recording is helpful to acquire technically satisfactory EEG records, which may improve the accuracy of results in both the visual and the automatic EEG interpretation, and ease the laborious work of EEG technicians in the recording progress.

摘要

本研究的目的是开发一种脑电图(EEG)记录的技术质量评估系统,以获取技术上令人满意的EEG记录,这可能有助于提高EEG解释的准确性。在我们开发的系统中,EEG记录的评估包括技术伪迹和生理状态的检测,这客观地表明了记录状态。此外,系统会根据检测到的不良状态向用户生成警示信号。显示给用户的信息包括更新后的EEG记录和即时评估结果。本文介绍了两个评估结果的例子,分别说明了不满意记录和无伪迹记录。提出实验结果以验证EEG记录技术质量评估的有效性。EEG记录技术质量评估的实施有助于获取技术上令人满意的EEG记录,这可能提高视觉和自动EEG解释结果的准确性,并减轻EEG技术人员在记录过程中的繁重工作。

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