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Hardback or Cased Book. Condition: New. Assessing Complexity in Physiological Systems through Biomedical Signals Analysis. Book.

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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 296 | Sprache: Englisch | Produktart: Bücher | Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization, nonlinearity, interactions at di¿erent scales, and interconnections among systems through anatomical and functional networks, may originate complexity. Biomedical signals from physiological systems may carry information about the system complexity useful to identify physiological states, monitor health, and predict pathological events. Therefore, complexity analysis of biomedical signals is a rapidly evolving field aimed at extracting information on the physiological systems. This book consists of 16 contributions from authors with a strong scientific background in biomedical signals analysis. It includes reviews on the state-of-the-art of complexity studies in specific medical applications, new methods to improve complexity quantifiers, and novel complexity analyses in physiological or clinical scenarios. It presents a wide spectrum of methods investigating the entropic properties, multifractal structure, self-organized criticality, and information dynamics of biomedical signals touching upon three physiological areas: the cardiovascular system, the central nervous system, the heart-brain interactions. The book is aimed at experienced researchers in signal analysis and presents the latest trends in the complexity methods in physiology and medicine with the hope of inspiring future works advancing this fascinating area of research.…

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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization, nonlinearity, interactions at di¿erent scales, and interconnections among systems through anatomical and functional networks, may originate complexity. Biomedical signals from physiological systems may carry information about the system complexity useful to identify physiological states, monitor health, and predict pathological events. Therefore, complexity analysis of biomedical signals is a rapidly evolving field aimed at extracting information on the physiological systems. This book consists of 16 contributions from authors with a strong scientific background in biomedical signals analysis. It includes reviews on the state-of-the-art of complexity studies in specific medical applications, new methods to improve complexity quantifiers, and novel complexity analyses in physiological or clinical scenarios. It presents a wide spectrum of methods investigating the entropic properties, multifractal structure, self-organized criticality, and information dynamics of biomedical signals touching upon three physiological areas: the cardiovascular system, the central nervous system, the heart-brain interactions. The book is aimed at experienced researchers in signal analysis and presents the latest trends in the complexity methods in physiology and medicine with the hope of inspiring future works advancing this fascinating area of research.…

Hardcover. Condition: new. Hardcover. Most physiological systems behave like complex, adaptive structures. In physiology and medicine, this complexity reflects the capacity of living systems to maintain homeostasis while responding to internal and external challenges, arising from features such as fractal- and self-organization, nonlinear dynamics, and the coordinated activity of interdependent components operating across multiple hierarchical levels and time scales. Biomedical signals encode aspects of this complexity, supporting the identification of physiological states, long-term health monitoring, and the anticipation of pathological events. As a result, contemporary research has focused on methods capable of characterizing system complexity in time series derived from continuous electroencephalogram and electromyogram recordings, cardiovascular beat-by-beat measurements, respiratory patterns, and other physiological variables. Despite substantial progress, key methodological challenges remain, including differentiating complexity from randomness, ensuring robust estimation from short or multivariate recordings, integrating multivariate measures of predictability, entropy, and fractality, and describing the underlying stochastic processes. This Reprint is the second volume in its series, following the initial Entropy Special Issue printed in 2021. Building on the significant interest generated by that collection, this volume presents recent studies which aimed to enhance the applications of complexity-based methods in physiological and clinical contexts. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most physiological systems behave like complex, adaptive structures. In physiology and medicine, this complexity reflects the capacity of living systems to maintain homeostasis while responding to internal and external challenges, arising from features such as fractal- and self-organization, nonlinear dynamics, and the coordinated activity of interdependent components operating across multiple hierarchical levels and time scales. Biomedical signals encode aspects of this complexity, supporting the identification of physiological states, long-term health monitoring, and the anticipation of pathological events. As a result, contemporary research has focused on methods capable of characterizing system complexity in time series derived from continuous electroencephalogram and electromyogram recordings, cardiovascular beat-by-beat measurements, respiratory patterns, and other physiological variables. Despite substantial progress, key methodological challenges remain, including differentiating complexity from randomness, ensuring robust estimation from short or multivariate recordings, integrating multivariate measures of predictability, entropy, and fractality, and describing the underlying stochastic processes. This Reprint is the second volume in its series, following the initial Entropy Special Issue printed in 2021. Building on the significant interest generated by that collection, this volume presents recent studies which aimed to enhance the applications of complexity-based methods in physiological and clinical contexts.…

Buch. Condition: Neu. Assessing Complexity in Physiological Systems through Biomedical Signals Analysis II | Buch | Englisch | 2026 | MDPI AG | EAN 9783725863662 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…