This book will assist in medical diagnosis and clinical decision making in cardiology. While grammar has long been used in the analysis of programming languages and to describe natural languages, the discipline can be extended to other areas of applications such as the ECG signal, the scintigraphic image and the tomographic image. Compared to statistical methods, the use of grammars in cardiology offers more flexibility in applications and can powerfully represent object structures, and therefore make information retrieval and medical diagnosis easier.

Focusing on neurosciences, the Internet of Things in medicine, artificial intelligence and its medical applications, and the biomechanics of movement in the characterization of pathologies, this book provides a venue for scientific exchange and interaction between researchers in different fields in order to contribute to the implementation of multidisciplinary research for medical purposes. It serves to identify practical recommendations for integrating such advances into clinical routines in order to improve patient care and quality of life.