Nonlinear Dynamics In Physiology A State Space Approach
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Nonlinear Dynamics In Physiology: A State-space Approach
This book provides a compilation of mathematical-computational tools that are used to analyze experimental data. The techniques presented are those that have been most widely and successfully applied to the analysis of physiological systems, and address issues such as randomness, determinism, dimension, and nonlinearity. In addition to bringing together the most useful methods, sufficient mathematical background is provided to enable non-specialists to understand and apply the computational techniques. Thus, the material will be useful to life-science investigators on several levels, from physiologists to bioengineer.Initial chapters present background material on dynamic systems, statistics, and linear system analysis. Each computational technique is demonstrated with examples drawn from physiology, and several chapters present case studies from oculomotor control, neuroscience, cardiology, psychology, and epidemiology. Throughout the text, historical notes give a sense of the development of the field and provide a perspective on how the techniques were developed and where they might lead. The overall approach is based largely on the analysis of trajectories in the state space, with emphasis on time-delay reconstruction of state-space trajectories. The goal of the book is to enable readers to apply these methods to their own research.
Nonlinear Dynamics in Physiology
This book provides a compilation of mathematical-computational tools that are used to analyze experimental data. The techniques presented are those that have been most widely and successfully applied to the analysis of physiological systems, and address issues such as randomness, determinism, dimension, and nonlinearity. In addition to bringing together the most useful methods, sufficient mathematical background is provided to enable non-specialists to understand and apply the computational techniques. Thus, the material will be useful to life-science investigators on several levels, from physiologists to bioengineer.Initial chapters present background material on dynamic systems, statistics, and linear system analysis. Each computational technique is demonstrated with examples drawn from physiology, and several chapters present case studies from oculomotor control, neuroscience, cardiology, psychology, and epidemiology. Throughout the text, historical notes give a sense of the development of the field and provide a perspective on how the techniques were developed and where they might lead. The overall approach is based largely on the analysis of trajectories in the state space, with emphasis on time-delay reconstruction of state-space trajectories. The goal of the book is to enable readers to apply these methods to their own research.
Systems Medicine For Human Spaceflight
This edited volume makes the case that a systems approach is needed for long-term spaceflight missions. Due to distance from Earth and the impossibility of resupply or rapid return, these flights will entail unprecedented autonomy on the part of the crew. This autonomy includes the need for local clinical decision support and other assistance with urgent medical concerns. The advantage of a systems approach to medical needs in human spaceflight is that it enables a systematic and repeatable methodology for identifying and developing the individual pieces of the spacecraft systems based on the human system needs that are unique to that problem and environment.The book begins by introducing a systems basis for thinking about humans in space. It describes existing models and paradigms of systems medicine, as well as the tools and analytical approaches involved. A tantalizing peek at preliminary applications of systems medicine in NASA is provided. As systems in human spaceflight continue to evolve for the foreseeable future, it is argued that a systems approach will help to ensure that the evolution of the relevant sub-systems is centered on optimal human-system function across the unique spaceflight needs of the developing customer base. The discussions on balancing the needs of the mission versus the maintenance of crew health, medical risk and liability for commercial spaceflights, and the need to anticipate what the next medical issues might be, will hopefully leave readers cautiously optimistic about this new frontier of applied science.