Official Code: | 9568 |
Acronym: | MEB |
To enable students with knowledge and skills in the fields of bionics and robotics and its application to various subfields of Bioengineering.
Computer aided diagnosis can be defined as the the diagnosis made by the radiologist supported by a computer based medical image analysis that acts as a second opinion system. The course aims at giving the students the knowledge and ability to develop image enhancement, image analysis and classification systems useful in CAD environments.
This course unit aims to provide students with integrated knowledge in impairments, didabilities and limitations and in technologies, which are intended to aid the social integration of disabled people. This course unit also aims to familiarise students with the combination of technologies with projects and to make them able to assess rehabilitation and accessibility solutions.
This course has as main objective to provide the knowledge and practice of the planning and design of an information system, specially its data component representation and organization. The understanding and efficient use of the data relational model and its implementation in a database management system belong also to the course objectives.
Another objective is the knowledge and practice of building adequate user interfaces capable of supporting the business processes underlying the information system. That interface should execute the flow of a business process through the normal search, update, create and eliminate data operations.
Objectives - The main aim of the course is to provide scientific tools required to understand various types of interactions that take place between cells and tissues and their natural and artificial environments. The interfaces between cells and extra-cellular matrix (ECM), and cells and ECM with medical devices are important examples of biological interfaces.
Topography, chemical composition and mechanical properties of surfaces influence decisively the behaviour of various types of cells, including stem cells. This is of great relevance in the application of biomaterials, including in biosensors, various types of implants (orthopaedic, dental, cardiovascular, etc) and in regenerative therapies. Hence, one of the purposes of the course will be to explain how cell adhesion, proliferation and differentiation may be affected by the above properties.
The type, surface density, conformation and renewal of proteins adsorbed onto a surface play a critical role in its behaviour. Thus, the protein-biomaterial interface has to be understood and observed in detail. The physical chemistry of these interfaces, where the presence of water is of fundamental importance, will be covered.
Radical modifications in the behaviour of solid-liquid and biomaterial-cell interfaces may be introduced by manipulating surfaces and materials at the nanoscale. Examples of nanotechnologies applied to modify essential features of biological interfaces (e.g. hydrophobicity, inhibition or promotion of cell adhesion and guided cell growth) will be given.
Characterization of surfaces and their interactions will biological environments (including fluids, cells and tissues) is of great importance in all the above processes. Therefore, special tools are required for observation and quantification of changes taking place at the interface between a material and its bioenvironment. Some of those tools and the physical and chemical principles in which they are based will be presented in the course. Atomic force microscopy (including molecular recognition force microscopy), elipsometry, zeta potential measurements, contact angle and interfacial energy determinations, surface analysis (e.g. X-ray photoelectron spectroscopy - XPS), and quartz crystal microbalance will be covered.
This course will present the main strategies currently under development or either in clinical trials or in the market, to promote tissue regeneration and restoration of function. A wide range of applications, from the regeneration of the skin, musculoskeletal system and cardiovascular system, as well as emerging areas such as the regeneration of the nervous system, will be addressed.
The curricular unit Biomechanics Simulation aims to provide students with knowledge in the area of numerical methods to be applied in biomechanics and based on Finite Element Method.
It is expected that at the end of the semester, the students have acquired knowledge to use tools in order to build models (discretization, imposition of boundary conditions and material properties) and the correct interpretation of results, getting skills at the elementary level, such as the finite element formulation (establishment of the stiffness matrix, calculating the strain and the stress fields).
The objective of this curricular unit is the acquisition of basic knowledge in Physics relevant for the activities involved in the operation, maintenance or investigation with the equipment used in Medical Imaging. This knowledge includes basic Physics principles and the basic aspects of the engineering of the imaging equipments.
This course unit aims to develop students’ skills in the measurement of biomedical quantities and signals and in conceiving and design of biomedical instrumentation and medical devices, by applying and integrating multidisciplinary knowledge of engineering and biomedical sciences.
Modeling and simulation are rapidly gaining terrain as an alternative to the established medical research methodologies of clinical investigation and animal experimentation. Similarly, simulation as a medical training modality is becoming realistic enough to represent an alternative to training on real patients and animals. Modeling is also a fundamental tool for the customization of medical implants and prostheses using rapid prototyping techniques. The main objective of this course is to introduce students to modeling and simulation concepts and applications in these two specific areas of biomedical engineering reflected in parts I and II of the program below. Students will have a chance to work individually and in group and to improve their oral and written communication skills, as well as to critically analyze the subjects presented during the classes.
The objective of the present course is to introduce and provide knowledge in the telemedicine and eHealth area.
The main objective of this course is to enable students to acquire practical skills and learn laboratory techniques relevant to the further development of the dissertation.
In this course the student should carry out individual research and development work conducting to the elaboration of a scientific dissertation on a topic in the field of Biomedical Engineering. Based on the knowledge of the state of the art, obtained in previous courses, the student must select and develop appropriate methodologies for solving the proposed problems, and get results that must be critically analyzed for drawing conclusions for improving the knowledge in the dissertation topic.
In this curricular unit the student must perform a literature review aiming at gathering updated information about the state of the art in the area of his dissertation topic.