Course Details

ELE451 - Fundamentals of Biomedical Engineering

2023-2024 Spring term information
The course is not open this term
ELE451 - Fundamentals of Biomedical Engineering
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 6
Obligation : Elective
Prerequisite courses : ELE203
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving
Course objective : The content of the lecture is designed for the objective of examining the terminology, the theory and the applications of interdisciplinary biomedical engineering field in introduction level, classifying electronic equipments in medical area and teaching their working principles. The generation of biosignals, their mathematical models, measurement techniques and requirements of medical equipments are composing the information that students gain under this course objective.
Learning outcomes : A student who completes the course successfully will apply the measurement and evaluation criteria to biomedical engineering field, Develop awareness for biomedical equipment design restrictions and safety issues, Learn the basic mechanism of bioelectrical signals and generation of action potentials, provide models for their behaviours, Classify the quantities that are measured in biomedical studies and associated sensors, compare their transduction functions, Learn to process and amplify bioelectrical signals, Learn the measures for protection of patients and devices, Have the knowledge of hardware related to some important recording systems and devices used in biomedical field.
Course content : 1. Main principles in biomedical instrumentation, requirements and restrictions, 2. Bioelectric signals: excitible cells and membrane structures, ionic activities, 3. Action potentials and its firing mechanism: active cell model , propagation, 4. Displacement, force, pressure, temperature measurements and associated sensors , 5. Biopotential electrodes. 6. Amplifying and processing bioelectric signals, instrumentation amplifiers, interference reduction, isolation, 7. ECG, EMG,EEG recording systems, hardware details, lead-electrode selections.
References : J.G. Webster, editör, Medical Instrumentation: Application and Design, Wiley, 2009.; J. Malmivuo, R. Plonsey, Bioelectromagnetism, Oxford University Press, 1995.; J. Enderle et al, Introduction to Biomedical Engineering, Academic Press, 2000.; Bronzino, J.D. editör, The Biomedical Engineering Handbook, IEEE Press,1995. ; J.J. Carr, J.M. Brown, Introduction to Biomedical Equipment Technology,
Course Outline Weekly
Weeks Topics
1 Introduction, main principles in biomedical instrumentation,
2 Main principles in designing biomedical instrumentation, requirements, restrictions, engineering ethics and regulations in biomedical engineering
3 Excitible cells and membrane structures, ionic activities: Nernst Potentials,
4 Membrane structures, ionic activities: Goldman Equation,
5 Action potentials and its firing mechanism: active cell model , propagation,
6 Active cell model , propagation: Cable Equation, Voltage Clamp Experiment,
7 Displacement, force, pressure and associated sensors ,
8 Displacement, temperature measurements and associated sensors ,
9 Midterm examination
10 Biopotential electrodes,
11 Amplifying and processing bioelectric signals,
12 Instrumentation amplifiers, interference reduction, isolation amplifiers,
13 ECG recording systems, hardware details, lead-electrode selections.
14 EMG,EEG recording systems, hardware details, lead-electrode selections.
15 Preparation for Final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 2 20
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 25
Final exam 1 55
Total 100
Percentage of semester activities contributing grade success 45
Percentage of final exam contributing grade success 55
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 14 3 42
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 13 6 78
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 2 6 12
Quiz 0 0 0
Midterms (Study Duration) 1 10 10
Final Exam (Study duration) 1 15 15
Total workload 31 40 157
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
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