ELE692 - BIOELECTRICITY
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| BIOELECTRICITY | ELE692 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Problem Solving | |||||
| Instructor (s) | Department Faculty | |||||
| 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 |
| |||||
| 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 |
|---|---|
| Week 1 | Bioelectyrical events and tissues |
| Week 1 | Bioelectyrical events and tissues |
| Week 2 | Field around a single cell |
| Week 2 | Field around a single cell |
| Week 3 | Action potential and its propagation |
| Week 3 | Action potential and its propagation |
| Week 4 | Potential distribution around cylinderical structures |
| Week 4 | Potential distribution around cylinderical structures |
| Week 5 | Transmission line theory |
| Week 5 | Transmission line theory |
| Week 6 | Body surface potential due to inner bioelectrical sources |
| Week 6 | Body surface potential due to inner bioelectrical sources |
| Week 7 | Electrocardiogram (ECG) |
| Week 7 | Electrocardiogram (ECG) |
| Week 8 | Electroencephalogram (EEG) |
| Week 8 | Electroencephalogram (EEG) |
| Week 9 | Mid-term examination |
| Week 9 | Mid-term examination |
| Week 10 | Reciprocity |
| Week 10 | Reciprocity |
| Week 11 | Forward problem and inverse problem |
| Week 11 | Forward problem and inverse problem |
| Week 12 | Numerical methods, method of images |
| Week 12 | Numerical methods, method of images |
| Week 13 | Applications : Electrical plethysmography, Electrical impedance tomography |
| Week 13 | Applications : Electrical plethysmography, Electrical impedance tomography |
| Week 14 | Make-up week |
| Week 14 | Make-up week |
| Week 15 | Final exam |
| Week 15 | Final exam |
| Week 16 | Final exam |
| Week 16 | Final exam |
Assesment 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 |
| Midterms | 1 | 40 |
| Final exam | 1 | 60 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 40 |
| Percentage of final exam contributing grade succes | 0 | 60 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 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, ect) | 14 | 8 | 112 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 1 | 30 | 30 |
| Final Exam (Study duration) | 1 | 40 | 40 |
| Total Workload | 30 | 81 | 224 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition 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. | X | ||||
| 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. | X | ||||
| 3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems. | X | ||||
| 4. Designs and runs research projects, analyzes and interprets the results. | X | ||||
| 5. Designs, plans, and manages high level research projects; leads multidiciplinary projects. | X | ||||
| 6. Produces novel solutions for problems. | X | ||||
| 7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects. | X | ||||
| 8. Follows technological developments, improves him/herself , easily adapts to new conditions. | X | ||||
| 9. Is aware of ethical, social and environmental impacts of his/her work. | X | ||||
| 10. Can present his/her ideas and works in written and oral form effectively; uses English effectively | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest