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自动诱发电位监测

Automated evoked potential monitoring.

作者信息

Hyman S A, King P H, Xu J

机构信息

Vanderbilt University, School of Medicine, Dept. of Anesthesiology, Nashville, TN 37232-2125.

出版信息

Int J Clin Monit Comput. 1993 Nov;10(4):201-14. doi: 10.1007/BF01133011.

Abstract

We have developed a computer system for use in the operating room and intensive care unit for the automated acquisition and classification of flash evoked potentials. The project goals were to: (1) acquire evoked potentials without user intervention; (2) recognize, label, and trend important parameters; and (3) alarm if parameters deviate too far from normal. The system consists of a Nicolet Pathfinder, programmed for periodic flash visual evoked potential acquisition and a personal computer for analysis. Analysis software utilizes the C+ +language. The system has been tested on sixteen cases, determinations of specific waveforms were validated ex post facto by two experts. Three parameters in each of three channels were correctly recognized in more than 87% of all waveforms acquired. No signals at all were obtained in only 0.8% of all samples.

摘要

我们开发了一种用于手术室和重症监护病房的计算机系统,用于自动采集和分类闪光诱发电位。该项目的目标是:(1)在无需用户干预的情况下采集诱发电位;(2)识别、标记并跟踪重要参数;(3)如果参数偏离正常范围过大则发出警报。该系统由一台编程用于定期采集闪光视觉诱发电位的 Nicolet Pathfinder 和一台用于分析的个人计算机组成。分析软件使用 C++ 语言。该系统已在 16 个病例上进行了测试,两位专家事后对特定波形的测定进行了验证。在所有采集的波形中,超过 87% 的波形在三个通道中的每个通道中三个参数都被正确识别。在所有样本中,只有 0.8% 完全没有获得信号。

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