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Springer Complexity and Nonlinearity in Cardiovascular Signals - Springer

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Description

Complexity and Nonlinearity in Cardiovascular Signals by Springer explores cutting-edge methods for analysing heartbeat, respiratory, and blood pressure dynamics using advanced theoretical physics approaches. This comprehensive text covers entropy, multifractal spectra, and Lyapunov exponents applied to cardiovascular physiology and autonomic nervous system activity. Designed for medical technology professionals and allied health practitioners, the book provides detailed explanations of how these complex analytical methods can generate reliable biomarkers for cardiovascular assessment. Readers will gain insight into multiple application scenarios demonstrating the practical implementation of nonlinear dynamics in clinical settings and research contexts.

Key Features

Detailed methods for analysing heartbeat, respiratory, and blood pressure dynamics using entropy and multifractal spectra techniques.

Coverage of Lyapunov exponents and other theoretical physics approaches contextualised within cardiovascular physiology.

In-depth exploration of autonomic nervous system activity and its role in cardiovascular control mechanisms.

Multiple application scenarios demonstrating real-world implementation of nonlinear analysis methods in clinical practice.

Comprehensive resource for medical technology professionals, allied health practitioners, and cardiovascular researchers.

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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