Biomedical Engineering Summer School

Introduction to Project Management

Miklós Daróczi

The main objective of the course is to deliver some theoretical and practical knowledge related mainly to the project planning, scheduling and budgeting. The module starts by defining the project and differentiating project management from general management. The project manager’s role, the project life cycle and the elements of project plan are also briefly discussed. The common formats of schedule the Gantt-charts and PERT/CPM networks, some methods of budgeting and cost estimating are also covered. Based on these techniques students will be able to participate in project planning and implementation.

Student teams will prepare a report and give a presentation on a special project. The purpose of this assignment is to deepen your knowledge on planning projects and to share that knowledge with the rest of the group. The topic of the project will be selected by the students.

Biomechanical Modelling of Implanted Bone Systems

Lucian Rusu, Dan Ian Stoia

Knowledge on Modelling of Biomechanical Behaviour of Implanted Bone Systems contributes to the development of new implants/prostheses having a better long-time functionality, develop-ment of corresponding surgical instruments, injury prevention, and not at least to manage with ageing.

The course topics consist in:

• Basic anatomical knowledge - bones, joints, muscles and possible motions in human joints
• Implants, prostheses, and ortheses – implant design, biomaterials, customized implant manufacturing
• Kinematic modelling of biomechanical systems – motion study, Denavit-Hartenberg convention
• Static modelling of biomechanical systems
• Numerical analysis - basics of FEM theory and general ANSYS specific capabilities

Artificial Intelligence and Biomedical Engineering

Yvo Marcelo Chiaradia Masselli

The course aims at presenting the most commonly used techniques of Artificial Intelligence as well as its applications in Biomedical Engineering, such as bioelectric signal processing, pattern recognition and automatic development of diagnostic.

Neural Networks and Fuzzy Logic will be treated as the main topics throughout the course.

By the end, the student will be able to project and implement, in specific softwares, solutions for typical problems on the field.

Amperometric Biosensors and Related Electronics

Dilek Çökeliler, Cengiz Koçum

Biosensors are used to detect biological or chemical markers (bio-chemicals, DNA, protein, cells etc.) in order for diagnosis, environmental monitoring and pharmaceutical research. This course represents the fundamental science and engineering concepts of designing biosensors through a common example. Biosensors have three main parts; biorecognition layer, transducers and electronics and they usually produce an electrical signal related to the specific analyte. In this course with lectures and practical exercises students will design and implement the main parts of an amperometric biosensor capable of glucose monitoring. Students will gain an insight of the complexities and design principles of a biosensor from scratch.

Course Outline:

• Introduction to biosensors and nanobiosensors
• Types of biorecognition elements
• Surface functionalizing and modification approaches for biosensors
• Transducer Basics: Sensors and Actuators
• Signal acquisition and conditioning principles
• Amperometric glucose biosensors
• Design and productionof glucose sensing layer
• Signal conditioning for the amperometric glucose biosensor
• Electronic circuit and PCB design

Instrumentation, Acquisition and Signal Processing for Biosignals

Gerardo Marx Chávez-Campos, Mehmet Yüksekkaya

Biomedical signals are used to obtain crucial information about human health for diagnosis and treatment follow up. Acquiring biosignals from human body to a computer system is called biosignal acquisition and conditioning. For signal acquisition and conditioning, appropriate electronic instrumentation should be designed. In order to extract the crucial information from the acquired data, it should be processed.

This course is designed to be a practical introduction for all those stages. Students will design a basic instrumentation circuitry to acquire a specific biosignal and learn the fundamentals of signal conditioning. Further, they will learn the essential principles of digital signal processing and will apply those principles in a practical example. After this course, students will get significant theoretical and practical skills for biosignal acquisition and processing.

Course Synopsis:

• Introduction to the design of analog circuits for signal conditioning
• Practical design of a biosignal acquisition instrument
• Introduction to digital signal processing
• Processing of biosignal for feature extraction

Medical Image Processing using Matlab

Gerardo Marx Chávez-Campos, Gábor Kertész

The goal of the lecture is to provide an introduction to medical imaging and image processing, both in theory and in applications.
The course starts with a basic introduction to the Image Processing Toolbox in Matlab. Image representation, and the fundamentals of image processing will be explained. Image filtering and enhancement methods, such as intensity based methods and mask based functions, edge detection will be introduced and implemented. Methods of noise removal, the different types of noise will follow, with an application of filtering in the frequency domain, based on the previous lectures. 

Course topics:

• Fundamentals of image processing
• Intensity-based methods
• Spatial filtering
• Histogram and contrast
• Edge detection
• Noise removal
• Filtering in the frequency domain, low-pass filter

15. Mai 2018
Bitte nutzen Sie das Online-Anmeldeformular

Anmeldegebühr: 500 Euro

Internationale Studierende:
Alle internationalen Studierenden müssen folgende Unterlagen per E-Mail an Iris Wilters vom International Office schicken:
Motivationsschreiben, Lebenslauf, Passkopie, aktuelle Notenübersicht und ein Empfehlungsschreiben einer Professorin oder eines Professors.
Wir werden Sie bis zum 10. Juni 2018 informieren, ob Ihre Bewerbung erfolgreich war.

Studierende von Partnerhochschulen (s. Liste unten):
Fragen Sie bitte Ihre Koordinatorin oder Ihren Koordinator nach dem Bewerbungsverfahren, den Kosten und weiteren Informationen für Ihren Aufenthalt an unserer Hochschule.

Studierende der Jade Hochschule:
Studierende der Jade Hochschule müssen für das WS 2018/19 eingeschrieben sein. Weitere Informationen erhalten Sie beim Organisationsteam in Wilhelmshaven.

Studierende von einer ausländischen Hochschule können sich für ein Stipendium bewerben und werden nach dem Einreichen ihrer Bewerbungsunterlagen über ihre Möglichkeiten informiert.

Bei Fragen wenden Sie sich bitte an unser International Office, Iris Wilters.

Baskent University Ankara (Türkei)
Dilek Çökeliler

Instituto Nacional de Telecomunicações - Inatel (Brasilien)
Yvo Marcelo Chiaradia Masselli

Morelia Technological Institute (Mexiko)
Gerardo Marx Chávez-Campos

Óbuda University (Ungarn)
Gábor Kertész

St. Istvan University (Ungarn)
Miklós Daróczi

Universitatea "Politehnica" din Timisoara (Rumänien)
Lucian Rusu