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心率变异性信号的实时频谱分析:一个交互式且用户友好的个人计算机系统。

Real-time spectral analysis of HRV signals: an interactive and user-friendly PC system.

作者信息

Basano L, Canepa F, Ottonello P

机构信息

Dipartimento di Fisica, Università di Genova, Italy.

出版信息

Comput Methods Programs Biomed. 1998 Jan;55(1):69-76. doi: 10.1016/s0169-2607(97)00051-5.

Abstract

We present a real-time system, built around a PC and a low-cost data acquisition board, for the spectral analysis of the heart rate variability signal. The Windows-like operating environment on which it is based makes the computer program very user-friendly even for non-specialized personnel. The Power Spectral Density is computed through the use of a hybrid method, in which a classical FFT analysis follows an autoregressive finite-extension of data; the stationarity of the sequence is continuously checked. The use of this algorithm gives a high degree of robustness of the spectral estimation. Moreover, always in real time, the FFT of every data block is computed and displayed in order to corroborate the results as well as to allow the user to interactively choose a proper AR model order.

摘要

我们展示了一个围绕个人计算机和低成本数据采集板构建的实时系统,用于心率变异性信号的频谱分析。其基于类似Windows的操作环境,使得计算机程序即使对于非专业人员也非常用户友好。功率谱密度通过一种混合方法计算得出,在该方法中,经典的快速傅里叶变换(FFT)分析之后是数据的自回归有限扩展;序列的平稳性会不断被检查。使用该算法可实现频谱估计的高度稳健性。此外,始终实时计算并显示每个数据块的FFT,以确证结果,并允许用户交互式地选择合适的自回归(AR)模型阶数。

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