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Information
| Code | BMS415 |
| Name | Biomedical Signal Processing |
| Term | 2023-2024 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 | Scientific problems encountered in the field of medicine and medical technologies; the ability to solve problems by applying the technical approaches of mathematics, science and engineering sciences. | 5 |
| PLO02 | Yetkinlikler - Öğrenme Yetkinliği | To be able to improve oneself by embracing the importance of lifelong learning and by following the developments in science-technology and contemporary issues. | |
| PLO03 | Yetkinlikler - Öğrenme Yetkinliği | Assess the contributions of engineering solutions on medicine, medical technologies and healthcare. | |
| PLO04 | Yetkinlikler - Öğrenme Yetkinliği | Identifying problems related to biomedical engineering. | 5 |
| PLO05 | Yetkinlikler - Öğrenme Yetkinliği | Modeling problems related to biomedical engineering. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Analyzing data and interpreting the results. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | To be able to use modern techniques and computational tools required for engineering applications. | 5 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Ability to analyze and design a process in line with a defined goal. | 5 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to understand the problems and wishes of the medical doctor in their scientific studies from an engineering point of view. | 5 |
| PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing ideas verbally and in writing, clearly and concisely. | 5 |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | To be conscious of calibration and quality assurance systems in Biomedical Engineering. | |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | Design and Implement Experiments. | |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to act independently, set priorities and creativity. | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Being aware of national and international contemporary issues in the field of Biomedical Engineering. | |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Ability to work in interdisciplinary teams. | |
| PLO16 | Yetkinlikler - Alana Özgü Yetkinlik | To have a sense of professional and ethical responsibility. |
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 | ||