Signal and Image Processing of Physiological Data: Methods for Diagnosis and Treatment Purposes

Signals and images have taken a major place in clinical practice to assist medical experts in the decision-making process. They are now commonly used for research activities or in clinical routines, for the diagnosis or treatment of pathologies. However, this decision-making process requires the development of signal and image processing algorithms. This is why, in the clinical domain, signal and image processing algorithms aiming at extracting information, quantifying processes, or improving the visualization of medical data have exploded. New algorithms overcoming the existing ones by their better computational cost or by providing additional or more accurate information are still proposed. Moreover, new applications for the new and existing algorithms emerge. This is true for any kind of medical data but the physiological and pathophysiological questions offer a variety of applications and situations. This includes the study and understanding of adaptive responses in health and pathophysiological mechanisms in disease, at any level of physiological organization, ranging from molecules to humans. Moreover, adaptive, integrative, and translational physiology is concerned.