| Description |
Course type: Lecture
Module: Basic Module "Basics in Biomedical Engineering" (mandatory)
Selection criterion: students of the Master's Program Biomedical Engineering are given preference. PhD students, students from other study programs or guest students are admitted to this course if free places are available.
Teaching assistant: Marco Wyss (marco.wyss@bfh.ch)
For questions on course and exam registration contact bme.artorg@unibe.ch.
Main Prerequistes:
Skill(s)
• Know the definition of electric charge, electric field, electric current, electric potential, voltage, resistance, power, work, energy and be able to perform calculations with these quantities
• Know how voltages, currents, and resistances can be measured
• Be able to perform calculations in electrical circuits with voltage sources and resistors using Ohm's law, Kirchhoff's laws, rules for resistors in series and in parallel, and the voltage divider rule
• Know some properties of basic electrical components (capacitors, inductors, diodes, LEDs, relays) and be able to calculate electrical quantities in circuits with these components
• Be able to solve a differential equation to obtain the voltage over time for a charging capacitor
• Know how to describe sinusoidal quantities
Recommended Courses/Skills:
Course(s): Introduction to Electrical Engineering
Required Material or Equipment: Laptop with MATLAB and TinaCloud required
Distribution of Course Materials: Course materials are regularly posted on Ilias (www.ilias.unibe.ch).
Textbook(s) and other Reading Material:
• J. G. Webster, Ed., Medical Instrumentation: Application and Design, 5th ed. Wiley, 2020.
• N. Storey, Electronics, A Systems Approach, 6th ed. Pearson, 2017.
Course Description:
The first part of the course focuses on the cardiovascular system. To provide a comprehensive foundation, we begin with the basic principles of blood flow and blood pressure measurement.This is followed by an in-depth exploration of the origin, acquisition, processing, and analysis of electrocardiographic (ECG) signals using analog and digital electronics, as well as signal processing and analysis algorithms. The section concludes with an introduction to therapeutic devices, including cardiac pacemakers and defibrillators.
Guest lectures on scoliosis diagnostics and smart orthoses provide insights into current biomedical engineering applications.
The course then covers electromyography (EMG). Students will learn the principles of EMG signal generation, acquisition, processing, and analysis, and will apply their knowledge by developing their own EMG signal decomposition algorithms.
The final part of the course introduces electroencephalography (EEG) and therapeutic devices for sensory restoration, including hearing implants and retinal implants. Additional guest lectures on emerging biomedical technologies conclude the course.
In addition to various biomedical measurement techniques, the course teaches fundamental principles of electrical engineering and signal processing. Theoretical concepts are reinforced through hands-on exercises using the circuit simulation software TINA and the high-level programming language MATLAB. |
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