Book Description
Aging introduces disturbances to the gait and posture of individuals. Such alterations can originate or result from a wide range of causes making it challenging to understand when modifications are related to pathological or physiological causes. Many disciplines come together to perform this kind of analysis (e.g. computational and experimental mechanics, image processing, medicine, biology, physiology, machine learning, and data science). Gait analysis is particularly sensitive to the interactions of different disciplines. This technique allows the study of human movements, but only through a multidisciplinary approach, it is possible to infer relations of causation. Narrow studies focusing on specific techniques are important to develop the fundamental tools required to study movement. In recent years, significant methodological advancements have been independently made in these fields. However, to cross the borders of current science and develop consistent results any new study needs to set interdisciplinary goals. An inclusive approach merging multiple aspects would be key in targeting pharmacological or rehabilitation interventions and improving patient care as a whole.