This book offers practices and advances surrounding the multiscale modeling of hemodynamics and their personalization with conventional clinical data. --
"This book comprehensively addresses the physics and engineering aspects of human physiology by using and building on first-year college physics and mathematics. Topics include the mechanics of the static body and the body in motion, the mechanical properties of the body, muscle…
"The popularity and rapid deployment of wireless communication technology has led to increasing numbers of new devices and systems that emit RF electromagnetic energy. It has resulted in large numbers of individuals at the workplace or in the general public being exposed to RF f…
"Dynamics of Soft Matter: Neutron Applications provides an overview of neutron scattering techniques that measure temporal and spatial correlations simultaneously, at the microscopic and mesoscopic scale. Emphasizing the complementarities of scattering techniques with other spec…
This volume - like the NATO Advanced Research Workshop on which it is based - addresses the fundamental science that contributes to our understanding of the potential risks from ecological terrorism, i.e. dirty bombs, atomic explosions, intentional release of radionuclides int…
This book, now in its 2nd edition, discusses, explains and provides detailed, up-to-date information on physics applied to clinical practice in anesthesiology and critical care medicine, with the aid of simple examples from daily life. Almost everything that happens around us, i…
This third edition overviews the essential contemporary topics of neuroengineering, from basic principles to the state-of-the-art, and is written by leading scholars in the field. The book covers neural bioelectrical measurements and sensors, EEG signal processing, brain-compute…
This book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks. It also demons…