HEART-RATE-VARIABILITY SIGNAL-PROCESSING - A QUANTITATIVE APPROACH AS AN AID TO DIAGNOSIS IN CARDIOVASCULAR PATHOLOGIES
HEART-RATE-VARIABILITY SIGNAL-PROCESSING - A QUANTITATIVE APPROACH AS AN AID TO DIAGNOSIS IN CARDIOVASCULAR PATHOLOGIES
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DOI：
10.1016/0020-7101(87)90014-6
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发表时间：
1987-01-01
期刊：
影响因子：
--
通讯作者：
RIZZO, G
中科院分区：
文献类型：
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作者：
BASELLI, G;CERUTTI, S;RIZZO, G
心率变异性（HRV）信号携带关于控制心率和血压的系统的重要信息，主要由自主神经系统（交感神经和副交感神经）控制引起。本文阐述了心率变异性信号处理的自回归（AR）建模和功率谱密度估计的方法。以这种方式增强的信息似乎在区分各种心血管病变（高血压、心肌梗塞、糖尿病性神经病变等）方面特别敏感。该方法提供了一种简单的非侵入性分析，基于心率中的自发振荡的处理。特别强调的是直接使用的算法和它们的直接应用，通过使用适当的计算机技术：只有几个范例将说明作为初步结果。
The heart rate variability (HRV) signal carries important information about the systems controlling heat rate and blood pressure, mainly elicited by autonomic nervous system (sympathetic and parasympathetic) controls. The present paper illustrates methods of HRV signal processing using autoregressive (AR) modeling and power spectral density estimate. The information enhanced in this way seems to be particularly sensitive in discriminating various cardiovascular pathologies (hypertension, myocardial infarction, diabetic neuropathy, etc.). This method provides a simple non-invasive analysis, based on the processing of spontaneous oscillations in heart rate. Particular emphasis is directed to the algorithms used and to their direct application by using proper computerized techniques: only a few paradigmatical examples will be illustrated as preliminary results.