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Information
| Code | BMS415 |
| Name | Biomedical Signal Processing |
| Term | 2024-2025 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. AHMET AYDIN |
| Course Instructor |
Doç. Dr. AHMET AYDIN
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To teach digital signal processing methods used in biomedical engineering.
Course Content
Discrete time signals and systems. Discrete Fourier Trasnform. Sampling and reconstruction, quantization.Linear time invariant and discrete systems. Filter design methods:FIR,IIR. Fast Fourier Transform. Signal analysis using FFT. Optimal filtering. Processing of electrophysiological signals:ECG,EMG,EEG. Application of DFT, FFT, FIR and IIR filters for electrophysiological signals
Course Precondition
None
Resources
Sarp Ertürk, "Sayısal İşaret İşleme"
Notes
Lecture notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Can apply digital signal processing techniques and design systems |
| LO02 | Can design digital filters |
| LO03 | Can apply digital signal processing techniques on biological signals |
| LO04 | Can analyze a digital system. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Have sufficient knowledge in mathematics, natural sciences, and biomedical engineering, along with the ability to use theoretical and applied knowledge in these areas to solve complex engineering problems. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquire the ability to identify, formulate, and solve complex Biomedical Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | The ability to design a complex system, process, device, or product in Biomedical Engineering under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | The ability to select and use modern techniques and tools necessary for analyzing and solving complex problems encountered in Biomedical Engineering applications; the ability to use information technologies effectively. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics in Biomedical Engineering. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | The ability to work effectively in intra-disciplinary (Biomedical Engineering) and multi-disciplinary teams; ability to work individually. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | The ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports in Biomedical Engineering and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | 5 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Get awareness of the necessity of lifelong learning; the ability to access information in the field of Biomedical Engineering, to follow developments in science and technology, and the ability to constantly self-renewal. | 5 |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acting following ethical principles, professional and ethical responsibility in the field of Biomedical Engineering, and knowledge of the standards used in engineering practice. | 5 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Knowledge of project management and practices in the field of Biomedical Engineering, such as risk management and change management; awareness about entrepreneurship, innovation, and sustainable development. | 5 |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Understanding the universal and societal impacts of Biomedical Engineering applications on health, environment, and safety; awareness of the legal implications of Biomedical Engineering solutions. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Understanding of biology and physiology. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Ability to make measurements on living systems and interpret data collected from these measurements. | |
| PLO14 | Bilgi - Kuramsal, Olgusal | Ability to solve problems related to the interactions between living and nonliving materials and systems. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Biomedical Signals and DSP | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 2 | Discrete time signals and systems. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 3 | Linear time invariant and discrete systems. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 4 | Block representationof discrete time systems. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 5 | Sampling and reconstruction, quantization. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 6 | Discrete Fourier Transform. DFT | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 7 | Fast Fourier Transform. FFT | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Signal analysis using FFT. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 10 | Filter design methods:FIR,IIR. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 11 | Optimal filtering. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 12 | Processing of electrophysiological signals-1:ECG,EMG . | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 13 | Processing of electrophysiological signals-2:EEG,EOG . | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 14 | Application of DSP for electrophysiological signals-1:DFT,FFT | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 15 | Review | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Final Exams | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Final Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||