ACADEMICS
Course Details

ELE692 - Bioelectricity

2022-2023 Fall term information
The course is not open this term
ELE692 - Bioelectricity
Program Theoretýcal hours Practical hours Local credit ECTS credit
MS 3 0 3 8
Obligation : Elective
Prerequisite courses : -
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving
Course objective : It is aimed to give the following topics to the students : - Nerve cells - Electrical parameters of the cells and transmission theory - Nerve cells and action potential - Bioelectric events in the heart and in the brain - Electrocardiography (ECG) - Electroenecephalography (EEG) - Forward and inverse problems
Learning outcomes : To explain cells in anatomical and physiological aspects To perform simulations in nernst equation and action potential To outline data collection and signal processing in ECG and EEG To solve forward problem in simple geometry and few electrical parameters To solve inverse problem in simple geometry and few electrical parameters
Course content : Cells, tissues an organs Electrical system modelling and response of parts of the tissues Bioelecrical problem solution in three dimensional body structures Basic signal processing in electrical activities of the heart and brain Forward problem solution Inverse problem solution
References : R. Plonsey, D.G. Fleming, "Bioelectric Phenmena", McGraw-Hill Book Co. Ing., 1969.; J.G. Webster, "Electrical Impedance Tomography", Adam Hilger, 1990.; J. Malmivuo, R. Plonsey, "Bioelectromagnetism", Owford University Press, 1995.; J. D. Bronziona, "Biomedical Engineering Handbook", IEEE Press, 1995.
Course Outline Weekly
Weeks Topics
1 Bioelectyrical events and tissues
2 Bioelectyrical events and tissues
3 Field around a single cell
4 Field around a single cell
5 Action potential and its propagation
6 Action potential and its propagation
7 Potential distribution around cylinderical structures
8 Potential distribution around cylinderical structures
9 Transmission line theory
10 Transmission line theory
11 Body surface potential due to inner bioelectrical sources
12 Body surface potential due to inner bioelectrical sources
13 Electrocardiogram (ECG)
14 Electrocardiogram (ECG)
15 Electroencephalogram (EEG)
16 Electroencephalogram (EEG)
17 Mid-term examination
18 Mid-term examination
19 Reciprocity
20 Reciprocity
21 Forward problem and inverse problem
22 Forward problem and inverse problem
23 Numerical methods, method of images
24 Numerical methods, method of images
25 Applications : Electrical plethysmography, Electrical impedance tomography
26 Applications : Electrical plethysmography, Electrical impedance tomography
27 Make-up week
28 Make-up week
29 Final exam
30 Final exam
31 Final exam
32 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 0 0
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 40
Final exam 1 60
Total 100
Percentage of semester activities contributing grade success 40
Percentage of final exam contributing grade success 60
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.) 14 12 168
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 0 0 0
Quiz 0 0 0
Midterms (Study duration) 1 30 30
Final Exam (Study duration) 1 40 40
Total workload 30 85 280
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.
2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering.
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.
4. Designs and runs research projects, analyzes and interprets the results.
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects.
6. Produces novel solutions for problems.
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects.
8. Follows technological developments, improves him/herself , easily adapts to new conditions.
9. Is aware of ethical, social and environmental impacts of his/her work.
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering