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确定心率数据维度的实际问题。

Practical problems of determining the dimensions of heart rate data.

作者信息

Hoyer D, Liebovitch L S, Schmidt K, Luethke B, Zwiener U

机构信息

Institute for Pathological Physiology, Friedrich-Schiller University, Jena, Germany.

出版信息

Med Biol Eng Comput. 1997 Jan;35(1):27-32. doi: 10.1007/BF02510388.

Abstract

The practical problems are explored of determining the dimension of the phase space set generated from real, experimental and simulated data of the times between consecutive heartbeats in normal and diseased rabbits. It is determined how different measures of dimension have depended on the procedures used to construct the phase space set and on such properties of the data as the amount of data, noise, long-term trends and stationarity. Reproducible estimates of the dimensions of different physiological states are found to require considerable amounts of data recorded under stationary conditions.

摘要

探讨了确定从正常和患病兔子连续心跳间隔的真实、实验和模拟数据生成的相空间集维度的实际问题。确定了不同维度测量如何依赖于构建相空间集所使用的程序以及数据的诸如数据量、噪声、长期趋势和平稳性等属性。发现要获得不同生理状态维度的可重复估计,需要在平稳条件下记录大量数据。

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