ECTS - Biomedical Signals and Instrumentation

Biomedical Signals and Instrumentation (EE428) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Biomedical Signals and Instrumentation EE428 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
(EE210 veya EE234 veya AEE202)
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Drill and Practice, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Prof. Dr. R. Özgür DORUK
Course Assistants
Course Objectives To make the engineering students familiar with fundamental biomedical concepts and gain a basic level of information that is helpful to them if they work in biomedical sector.
Course Learning Outcomes The students who succeeded in this course;
  • Ability to design and develop the biomedical instrumentation for clinical measurement and biomedical research
  • Ability to understand the basic principles and operation of biopotential electrodes and biomedical sensors
  • Ability to design a biopotential amplifier for ECG measurement
  • Understanding concept regarding electrical safety.
  • Constructing the equivalent electrical circuits of the body tissues under an electric current.
Course Content Introduction to biomedical instrumentation and physiological measurement, the nature of biomedical signals, the origin of biopotentials and other biological signals, biopotential electrodes,tissue equivalent circuits, principles and operation of basic transducers and sensors, sources and characteristics of biological and instrumentation noise,

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Biomedical Instrumentation and Physiological Measurement, The origin of biopotentials and other biological signals Glance at your notes
2 Biopotential electrodes and Tissue equivalent circuits Review your lecture notes
3 Principles and operation of basic transducers and sensors Read from your book
4 Principles and operation of basic transducers and sensors
5 Characteristics of biological and instrumentation noise Glance at this week's notes
6 Characteristics of biological and instrumentation noise Electrical characteristics of biopotential electrodes Review last week's notes and glance at this week's notes
7 Electrical characteristics of biopotential electrodes Practical biopotential amplifier design and multilead ECG systems
8 Practical biopotential amplifier design and multilead ECG Systems Study on your course notes
9 Design, testing and analysis of a high quality isolated biopotential amplifier Review your notes
10 Biological signal processing – filters Glance at this week’s topics from the lecture
11 Biological signal processing Review last week's notes and glance at this week's notes
12 Statistical algorithms for automated signal detection and analysis Review the lecture notes
13 Statistical algorithms
14 Circulatory system and the measurement of blood pressure and flow Review your lecture notes
15 Final examination period Review of topics
16 Final examination period Review of topics

Sources

Course Book 1. John G. Webster, Medical Instrumentation - Application and Design, 3rd Edition, John Wiley and Sons Inc.
Other Sources 2. Willis J Tompkins, ED. Biomedical Signal Processing. Prentice-Hall, 1993.
3. R E Chellis and R I Kitney, Biomedical Signal Processing, in IV parts, Medical and Biological Eng. and current Computing, 1990-91.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 40
Toplam 3 80
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
2 Ability to formulate, and solve complex mechatronics engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3 Ability to design a complex mechatronics engineering system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4 Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in mechatronics engineering and robot technology practices; ability to employ information technologies effectively.
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex mechatronics engineering and robot technology problems or research questions.
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7 Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9 a-) Knowledge on behavior according to ethical principles, professional and ethical responsibility b-) Knowledge on standards used in engineering practices.
10 a-) Knowledge about business life practices such as project management, risk management, and change management b-) Awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
12 Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions in the field of mechatronics engineering.
13 Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planning, improving or changing the norms with a criticism.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application 8 3 24
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project
Report
Homework Assignments 8 3 24
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury 1 5 5
Total Workload 129