心率变异性：测量和模型
Heart Rate Variability: Measures and Models
摘要：
我们专注于人类心脏跳动之间的间隔序列的波动的各种措施，以及如何使用这种波动来评估心血管疾病的存在或可能性。我们检查了16个这样的措施和他们的适合正确分类的心跳记录的各种长度正常或揭示存在的心功能不全，特别是充血性心力衰竭。使用接收器操作特性分析，我们证明，规模相关的措施证明大大优于规模无关的。小波变换的标准偏差在近32个心跳间隔的尺度，其光谱对应物近1/32周期/间隔，原来提供可靠的结果，使用心跳记录只有几分钟长。我们进一步建立所有科目，人类心跳有一个潜在的随机起源，而不是从一个混乱的吸引子。最后，我们开发了一个数学点过程，模拟正常人和心力衰竭患者的心跳时间序列。
英文摘要：
We focus on various measures of the fluctuations of the sequence of intervals between beats of the human heart, and how such fluctuations can be used to assess the presence or likelihood of cardiovascular disease. We examine sixteen such measures and their suitability for correctly classifying heartbeat records of various lengths as normal or revealing the presence of cardiac dysfunction, particularly congestive heart failure. Using receiver-operating-characteristic analysis we demonstrate that scale-dependent measures prove substantially superior to scale-independent ones. The wavelet-transform standard deviation at a scale near 32 heartbeat intervals, and its spectral counterpart near 1/32 cycles/interval, turn out to provide reliable results using heartbeat records just minutes long. We further establish for all subjects that the human heartbeat has an underlying stochastic origin rather than arising from a chaotic attractor. Finally, we develop a mathematical point process that emulates the human heartbeat time series for both normal subjects and heart-failure patients.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
