Time-specified prediction limits for circadian blood pressure variability in clinical health

[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1992-06-14 DOI:10.1109/CBMS.1992.245007

R. Hermida, J. Fernández, A. Mojón, D. Ayala

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引用次数: 1

Abstract

Hardware for automatic long-term measurement is wedded to a set of software modules in order to assess the status of human blood pressure circadian variability. To evaluate changes in blood pressure within a day, the authors analyzed 303 series of systolic and diastolic blood pressure and heart rate, automatically monitored every 30 minutes for at least 48 h from clinically healthy subjects, 19-23 yr of age. Individual circadian rhythm parameters computed for each time series by least-squares rhythmometry were used, first, for assessing rhythm characteristics of all subjects and each gender separately, and, second, for the computation of a so-called paradesm, a (here 90%) time-specified prediction region for the amplitude-acrophase pair. Original data were further used to compute time-specified prediction limits for blood pressure and heart rate in clinical health. Such reference limits may serve for an objective and positive definition of health, for the screening and diagnosis of disease, and for gauging the subject's response to treatment.<>

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临床健康中昼夜节律血压变异性的时间指定预测限制

用于自动长期测量的硬件与一组软件模块相结合，以评估人体血压昼夜变化的状态。为了评估一天内血压的变化，作者分析了303组收缩压和舒张压和心率，这些血压和心率每30分钟自动监测一次，至少48小时，来自19-23岁的临床健康受试者。通过最小二乘节律学计算每个时间序列的个体昼夜节律参数，首先用于评估所有受试者和每个性别的节律特征，其次用于计算所谓的范式，即振幅-端相对的时间指定预测区域(这里为90%)。原始数据进一步用于计算临床健康中血压和心率的时间指定预测极限。这样的参考限度可以作为健康的客观和积极的定义，用于疾病的筛选和诊断，以及衡量受试者对治疗的反应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems

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