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Information
| Unit | FACULTY OF ENGINEERING |
| BIOMEDICAL ENGINEERING PR. | |
| Code | BMS415 |
| Name | Biomedical Signal Processing |
| Term | 2021-2022 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 |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. AHMET AYDIN |
| Course Instructor |
Doç. Dr. AHMET AYDIN
(Güz)
(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
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Discrete time signals and systems. Discrete Fourier Trasnform. Sampling and reconstruction, quantization.Linear time invariant and discrete systems. |
| LO02 | Filter design methods:FIR,IIR. Fast Fourier Transform. Signal analysis using FFT. Optimal filtering. |
| LO03 | Processing of electrophysiological signals:ECG,EMG,EEG. Application of DFT, FFT, FIR and IIR filters for electrophysiological signals |
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. | 5 |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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 | Sufficient knowledge in the disciplines of anatomy and physiology | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Ability to perform measurements on living systems and to interpret the data collected from these measurements. | 5 |
| PLO14 | Bilgi - Kuramsal, Olgusal | Solving problems related to the interaction of living organisms with materials and systems, and interpreting the outcomes. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Biomedical Signals and DSP | Reading lecture materials | |
| 2 | Discrete time signals and systems. | Reading lecture materials | |
| 3 | Linear time invariant and discrete systems. | Reading lecture materials | |
| 4 | Block representationof discrete time systems. | Reading lecture materials | |
| 5 | Sampling and reconstruction, quantization. | Reading lecture materials | |
| 6 | Discrete Fourier Transform. DFT | Reading lecture materials | |
| 7 | Fast Fourier Transform. FFT | Reading lecture materials | |
| 8 | Mid-Term Exam | Mid-Term Exam | |
| 9 | Signal analysis using FFT. | Reading lecture materials | |
| 10 | Filter design methods:FIR,IIR. | Reading lecture materials | |
| 11 | Optimal filtering. | Reading lecture materials | |
| 12 | Processing of electrophysiological signals-1:ECG,EMG . | Reading lecture materials | |
| 13 | Processing of electrophysiological signals-2:EEG,EOG . | Reading lecture materials | |
| 14 | Application of DSP for electrophysiological signals-1:DFT,FFT | Reading lecture materials | |
| 15 | FINAL EXAM | Reading lecture materials | |
| 16 | Term Exams | Final Exams | |
| 17 | Term Exams | Final Exams |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | 1 | 10 | 10 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 124 | ||
| Total Workload / 25 (h) | 4,96 | ||
| ECTS | 5 ECTS | ||