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通过基于个人计算机的算法对多种生理信号进行同步、连续、在线和实时频谱分析。

Simultaneous, continuous, on-line and real-time spectral analysis of multiple physiologic signals by a personal-computer-based algorithm.

作者信息

Kuo T B, Shyr M H, Chan S H

机构信息

Institute of Pharmacology, National Yang-Ming Medical College, Taipei, Taiwan, Republic of China.

出版信息

Biol Signals. 1993 Jan-Feb;2(1):45-56. doi: 10.1159/000109477.

Abstract

We presented in this communication a computer algorithm that offers the advantage of simultaneous analysis of the power spectrum of multiple physiologic signals, including systemic arterial pressure, single-neuronal and electroencephalographic signals, on a continuous, on-line and real-time basis. It provided sensitive definition, discrimination and quantification (graphic and digital) of the various frequency components in the spectrum. There was also great flexibility in selecting the physiologic signal(s) to be analyzed, the choice of results of analysis to be displayed for each physiologic parameter and the alteration of sensitivity and baseline of each event channel. Furthermore, it included window options to improve the frequency or temporal resolution and discrimination of the spectral changes. Most importantly, all these desirable features can be accomplished economically with a general purpose personal computer.

摘要

在本交流中,我们展示了一种计算机算法,该算法具有在连续、在线和实时基础上同时分析多种生理信号(包括体动脉压、单神经元和脑电图信号)功率谱的优势。它能对频谱中的各种频率成分进行灵敏的定义、区分和量化(图形和数字形式)。在选择要分析的生理信号、为每个生理参数显示的分析结果选择以及改变每个事件通道的灵敏度和基线方面也具有很大的灵活性。此外,它还包括窗口选项,以提高频谱变化的频率或时间分辨率及区分度。最重要的是,所有这些理想特性都可以通过一台通用个人计算机经济地实现。

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