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在多卧室、多生理记录仪睡眠实验室中对脑电图进行功率谱分析。

Power spectral analysis of EEG in a multiple-bedroom, multiple-polygraph sleep laboratory.

作者信息

Vasko R C, Brunner D P, Monahan J P, Doman J, Boston J R, el-Jaroudi A, Miewald J, Buysse D J, Reynolds C F, Kupfer D J

机构信息

University of Pittsburgh Medical Center, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, PA 15213, USA.

出版信息

Int J Med Inform. 1997 Oct;46(3):175-84. doi: 10.1016/s1386-5056(97)00064-6.

Abstract

OBJECTIVES

We describe the methods for power spectral analysis (PSA) of sleep electroencephalogram (EEG) data at a large clinical and research sleep laboratory. The multiple-bedroom, multiple-polygraph design of the sleep laboratory poses unique challenges for the quantitative analysis of the data. This paper focuses on the steps taken to ensure that our PSA results are not biased by the particular bedroom or polygraph from which the data were acquired.

METHODS

After describing the data acquisition system hardware, we present our signal amplitude calibration procedure and our methods for performing PSA. We validate the amplitude calibration procedure in several experiments using PSA to establish tolerances for data acquisition from multiple bedrooms and polygraphs.

RESULTS

Since it is not possible to acquire identical digitized versions of an EEG signal using different sets of equipment, the best that can be achieved is data acquisition that is polygraph-independent within a known tolerance. We are able to demonstrate a tolerance in signal amplitude of +/- 0.25% when digitizing data from different bedrooms. When different data acquisition hardware is used, the power tolerance is approximately +/- 3% for frequencies from 1 to 35 Hz. The power tolerance is between +/- 3 and +/- 7% for frequencies below 1 Hz and frequencies between 35 and 50 Hz. Additional data demonstrate that variability due to the hardware system is small relative to the inherent variability of the sleep EEG.

CONCLUSION

The PSA results obtained in one location can be replicated elsewhere (subject to known tolerances) only if the data acquisition system and PSA method are adequately specified.

摘要

目的

我们描述了在一个大型临床和研究睡眠实验室中对睡眠脑电图(EEG)数据进行功率谱分析(PSA)的方法。睡眠实验室的多卧室、多生理记录仪设计给数据的定量分析带来了独特的挑战。本文重点介绍了为确保我们的PSA结果不会因获取数据的特定卧室或生理记录仪而产生偏差所采取的步骤。

方法

在描述数据采集系统硬件之后,我们介绍了信号幅度校准程序以及执行PSA的方法。我们在几个实验中使用PSA验证了幅度校准程序,以确定从多个卧室和生理记录仪采集数据的公差。

结果

由于使用不同的设备集不可能获取相同数字化版本的EEG信号,所能达到的最佳效果是在已知公差范围内实现与生理记录仪无关的数据采集。当对来自不同卧室的数据进行数字化处理时,我们能够证明信号幅度的公差为±0.25%。当使用不同的数据采集硬件时,对于1至35Hz的频率,功率公差约为±3%。对于低于1Hz的频率以及35至50Hz之间的频率,功率公差在±3%至±7%之间。其他数据表明,相对于睡眠EEG的固有变异性,硬件系统造成的变异性较小。

结论

只有在充分指定数据采集系统和PSA方法的情况下,在一个地点获得的PSA结果才能在其他地方重复(在已知公差范围内)。

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