The course provides theoretical and practical knowledge regarding various aspects of healthcare challenges, demands, future of work and business opportunities.
Lectures, team collaboration, oral presentations, study visits, problem based learning seminars, practical hands on experience and discussions within biomedical engineering, biophysics, bioimaging, proteomics, genomics, neuromics, biomedical simulations and diagnostics. Moreover the course will cover biodesign thinking, clinical need identification, basic theoretical and practical use of recent innovative technologies, patent vs publication strategy, legal, IP issues and entrepreneurship
The course shall give a basic knowledge and understanding of human body structure and function. This knowledge is the basis for understanding how diseases occur and affect the function of various organs and body systems. The course includes practical moment where various physical testing methods for measuring normal physiological parameters.
In this course logistic theories and methods will be presented and analysed which are relevant in order to be able to attain a safe and effective healthcare chain for the patient from examination to treatment completed.
The course focuses first on the anatomy and physiology of the human muscle-force system, then on biomechanical applications involved in human movement. Fundamental topics of muscle physiology, anatomy, and treatment, and muscle modeling will be covered first. From this foundation, the course will focus on methods to analyze biomechanical problems, including kinematics and kinetics of movement and the muscle force system. Finally, relevant topics requiring such analyses will be discussed, with some emphasis on walking. Emphasis is placed on analysis, interpretation and critical evaluation of results.
This course covers the concepts, theories and most used methods used for exploring and interacting with images in medical applications to understand the different parts of a visualization pipeline
The course is divided according to the different type of signals (ECG, EEG, etc). For each type of signal, methods for analyzing the signal are discussed. In computer laboratory experiments (mandatory) realistic clinical problems are illustrated.