Multiple-time scales analysis of physiological time series under neural control.
Multiple-time scales analysis of physiological time series under neural control.
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DOI：
10.1016/s0378-4371(97)00508-6
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
Chung-Kang Peng;Jeffrey M. Hausdorff;S. Havlin;J. Mietus;H. Stanley;A. Goldberger
中科院分区：
文献类型：
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作者：
Chung-Kang Peng;Jeffrey M. Hausdorff;S. Havlin;J. Mietus;H. Stanley;A. Goldberger
我们讨论了神经生理控制机制的多时间尺度特性，使用心率和步态调节作为模型系统。我们发现，标度指数可以作为预后指标。此外，检测缩放特性的更微妙的退化可以在具有各种病理学的受试者中提供新的早期预警系统，包括那些处于猝死高风险的受试者。
We discuss multiple-time scale properties of neurophysiological control mechanisms, using heart rate and gait regulation as model systems. We find that scaling exponents can be used as prognostic indicators. Furthermore, detection of more subtle degradation of scaling properties may provide a novel early warning system in subjects with a variety of pathologies including those at high risk of sudden death.