£159.46

Springer Complexity and Nonlinearity in Cardiovascular Signals - Springer

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£159.46 £151.49 £154.68 £157.87 £161.05 £164.24 £167.43 10 June 2026 18 June 2026 27 June 2026 06 July 2026 15 July 2026

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Description

Explore the latest advancements in complex and nonlinear cardiovascular physiology with this comprehensive text from Springer. This book provides a deep look into obtaining reliable and effective markers for assessing heartbeat, respiratory, and blood pressure dynamics. It serves as a vital resource for understanding how theoretical physics methods apply to physiological control systems. The text details specific methodologies such as entropy, multifractal spectra, and Lyapunov exponents. These concepts are contextualized within the physiological dynamics of cardiovascular control, including the activity of the autonomic nervous system. By bridging the gap between physics and medicine, the book offers a critical review of current methods and discusses various application scenarios. Designed for professionals in biomedical engineering and allied health, this work helps readers master the tools needed to analyze complex biological signals. It provides the technical foundation required to interpret heartbeat and blood pressure fluctuations through a nonlinear lens, making it a necessary addition to any medical research library.

Key Features

Provides detailed methods from theoretical physics including entropy, multifractal spectra, and Lyapunov exponents for physiological analysis.

Focuses on obtaining reliable markers for the assessment of heartbeat, respiratory, and blood pressure dynamics.

Contextualizes complex mathematical methods within the physiological dynamics of cardiovascular control and autonomic nervous system activity.

Includes a critical review of existing methodologies to help researchers understand current scientific standards.

Discusses several practical application scenarios for using nonlinear methods in cardiovascular signal processing.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 August 2017
Listed Since
06 April 2017

Barcode

No barcode data available

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