Porges S W, Byrne E A
Institute for Child Study, College of Education, University of Maryland, College Park 20742.
Biol Psychol. 1992 Nov;34(2-3):93-130. doi: 10.1016/0301-0511(92)90012-j.
Strategies for heart rate and respiration quantification are dependent upon a knowledge of physiology and statistics. To develop appropriate and sensitive psychophysiological measures, it is necessary to understand the neural control of the autonomic nervous system and the statistical characteristics of physiological data. Moreover, it is proposed that inferences derived from physiological measures are dependent upon a statistical interaction between the characteristics of the physiological data and the measurement techniques. The steps required to analyze heart rate and respiration data are presented, ranging from data acquisition and editing to data analysis and physiological inference. A variety of techniques are described and contrasted with recommendations for future research.
心率和呼吸量化策略取决于生理学和统计学知识。为了开发合适且灵敏的心理生理测量方法，有必要了解自主神经系统的神经控制以及生理数据的统计特征。此外，有人提出，从生理测量中得出的推论取决于生理数据特征与测量技术之间的统计相互作用。本文介绍了分析心率和呼吸数据所需的步骤，从数据采集和编辑到数据分析及生理推论。文中描述了多种技术，并与未来研究的建议进行了对比。
