Schumacher Autumn
Emory University, Nell Hodgson Woodruff School of Nursing, 1520 Clifton Rd., Suite 305, Atlanta, GA 30322-4207, USA.
Biol Res Nurs. 2004 Jan;5(3):211-21. doi: 10.1177/1099800403260619.
Analysis techniques derived from linear and non-linear dynamics systems theory qualify and quantify physiological signal variability. Both clinicians and researchers use physiological signals in their scopes of practice. The clinician monitors patients with signal-analysis technology, and the researcher analyzes physiological data with signal-analysis techniques. Understanding the theoretical basis for analyzing physiological signals within one's scope of practice ensures proper interpretation of the relationship between physiolgical function and signal variability. This article explains the concepts of linear and nonlinear signal analysis and illustrates these concepts with descriptions of power spectrum analysis and recurrence quantification analysis. This article also briefly describes the relevance of these 2 techniques to R-to-R wave interval (i.e., heart rate variability) signal analysis and demonstrates their application to R-to-R wave interval data obtained from an isolated rat heart model.
源自线性和非线性动力学系统理论的分析技术可对生理信号变异性进行定性和定量分析。临床医生和研究人员在其业务范围内都会使用生理信号。临床医生运用信号分析技术监测患者，研究人员则使用信号分析技术分析生理数据。了解在自身业务范围内分析生理信号的理论基础，有助于正确解读生理功能与信号变异性之间的关系。本文解释了线性和非线性信号分析的概念，并用功率谱分析和递归量化分析的描述对这些概念进行了说明。本文还简要描述了这两种技术与R - R波间期（即心率变异性）信号分析的相关性，并展示了它们在从离体大鼠心脏模型获得的R - R波间期数据中的应用。
