Lisenby M J, Richardson P C, Welch A J
Electroencephalogr Clin Neurophysiol. 1976 Feb;40(2):169-77. doi: 10.1016/0013-4694(76)90161-9.
The development of the Heart Beat Domain and the Fourier transform of the Heart Beat Domain (which we call the Beatquency Domain) has provided new and useful tools for the quantitative analysis of sleep level patterns. This method of analysis has produced remarkable intersubject as well as intra-subject consistency and the only physiologic parameter required in the analysis is beat-by-beat heart rate. This analytical tool was designed to aid in the detection of sleep cycles, or more specifically, the rhythmic transitions from REM+ (awake Stages 1 and REM combined) to NREM (Stage 2, 3 and 4 combined) over a normal night of sleep. Employing this method on minute-by minute sleep recordings from 9 normal sleep subjects, 2 complete nights each, we were able to distinguish between the REM+ and NREM stages with an average accuracy of approximately 80%. Considering that beat-by-beat heart rate was our only criteria, we felt that the algorithm performed with significant success.
心跳域的发展以及心跳域的傅里叶变换（我们称之为拍频域）为睡眠水平模式的定量分析提供了新的有用工具。这种分析方法在不同受试者之间以及同一受试者内部都产生了显著的一致性，并且该分析所需的唯一生理参数是逐搏心率。这个分析工具旨在帮助检测睡眠周期，或者更具体地说，在正常睡眠的一个晚上，从REM +（清醒的第1阶段和REM阶段合并）到NREM（第2、3和4阶段合并）的节律性转变。我们对9名正常睡眠受试者的逐分钟睡眠记录（每人两晚完整记录）采用这种方法，能够以约80％的平均准确率区分REM +和NREM阶段。鉴于逐搏心率是我们唯一的标准，我们认为该算法取得了显著成功。
