Department of Electrical and Electronics Engineering

ACADEMICS

Course Details

ELE692 - Bioelectricity

Program	Theoretıcal 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
Key learning outcomes		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