Ders Planı

CLASS 4

Lesson plan / BIOMEDICAL SIGNAL PROCESSING II

Lesson Information

Course Credit	2.0
Course ECTS Credit	3.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
Course Coordinator	Prof. Dr. MİNE ERGÜVEN
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	The aims of this course are to teach the characteristics, the signal levels,the frequency and the processing of bioelectrical signals (ECG, EEG, EMG, ERG, ENG); the basic parameters of speaking signals and the techniques of processing these signals by compute; the image creation techniques; the determination image processing techniques based on the source of the image signal and create algorithms related to them; models for the improvement, the renewal or the design of diagnosis and treatment techniques.
Course Content	Bioelectrical signals (ECG, EEG, EMG, ERG, ENG) characteristics, signal levels, signal frequency and signal processing; Basic parameters of the speech signal; The techniques of the processing of speech signals in computer era; Image creation techniques; The determination of image processing techniques based on the source of image signals and their related algorithms; Their applications.

The aim of the course

The aims of this course are to teach the characteristics, the signal levels,the frequency and the processing of bioelectrical signals (ECG, EEG, EMG, ERG, ENG); the basic parameters of speaking signals and the techniques of processing these signals by compute; the image creation techniques; the determination image processing techniques based on the source of the image signal and create algorithms related to them; models for the improvement, the renewal or the design of diagnosis and treatment techniques.

Course Content

Bioelectrical signals (ECG, EEG, EMG, ERG, ENG) characteristics, signal levels, signal frequency and signal processing; Basic parameters of the speech signal; The techniques of the processing of speech signals in computer era; Image creation techniques; The determination of image processing techniques based on the source of image signals and their related algorithms; Their applications.

Learning Outcomes

Adequate knowledge in mathematics, physical sciences and the biomedical engineering subjects of individual branches; the ability to implement theoretical and practical knowledge in the respective areas to modeling and solving computer engineering problems.
Ability to identify, define, formulate and solve complex engineering problems in biomedical engineering; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to use, choose and develop modern techniques and means required for analyzing and solving the complex problems in biomedical engineering applications; ability to use information technologies effectively.
Ability to design a complex system, process, device or product to meet specific requirements under realistic restrictions and conditions; ability to implement the modern design methods for this purpose.
Ability to design experiments for analysing biomedical engineering problems, to conduct experiments, to collect data, to analyse and interpret the results.
Ability to apply engineering principles and methods to medical problems, to develop creative solutions.
Ability to work effectively in interdisciplinary and multi-disciplinary teams and individual works.
Knowledge of applications in business life like project management, risk management and change management; awareness about entrepreneurship, innovativeness and sustainable development.
Ability to identify, define, formulate and solve complex engineering problems in biomedical engineering; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to use, choose and develop modern techniques and means required for engineering applications; ability to use information technologies effectively.
Awareness of the necessity of lifelong learning; ability to reach information, follow the latest developments in science and technology; ability to ensure self-renewal perpetually.
Ability to follow developments in disciplines related to biomedical engineering; Ability to ensure self-renewal perpetually in the theoretical, practical and social areas.
Ability to communicate efficiently both in oral and written ways in Turkish; knowledge of at least one foreign language; ability to effectively prepare reports and understand written reports, prepare design and production reports, effective presentation, giving and receiving clear and understandable instructions.
Ability to use common scientific and social language in engineering and health care fields.
Behaving in accordance with ethical principles in the field of biomedical engineering, professional and ethical responsibility awareness;knowledge on the standards of engineering applications.
Information about the effects of engineering applications on health, environment and safety in terms of universal and social aspects and information about the problems of the era; awareness about the legal results of biomedical engineering solutions.
Ability to use common scientific and social language in engineering and health care fields.

Weekly Course Subjects

1	Bioelectrical signals (ECG, EEG, EMG, ERG, ENG) characteristics, signal levels, signal frequency and signal processing.
2	Bioelectrical signals (ECG, EEG, EMG, ERG, ENG) characteristics, signal levels, signal frequency and signal processing.
3	Bioelectrical signals (ECG, EEG, EMG, ERG, ENG) characteristics, signal levels, signal frequency and signal processing.
4	Bioelectrical signals (ECG, EEG, EMG, ERG, ENG) characteristics, signal levels, signal frequency and signal processing.
5	Bioelectrical signals (ECG, EEG, EMG, ERG, ENG) characteristics, signal levels, signal frequency and signal processing.
6	Basic parameters of the speech signal.
7	The techniques of the processing of speech signals in computer era.
8	Midterm Exam
9	Image creation techniques
10	Image creation techniques
11	The determination of image processing techniques based on the source of image signals and their related algorithms
12	The determination of image processing techniques based on the source of image signals and their related algorithms
13	The determination of image processing techniques based on the source of image signals and their related algorithms
14	Applications

Resources

1- Course notes

CLASS 1

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CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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