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Information
| Unit | FACULTY OF ENGINEERING |
| BIOMEDICAL ENGINEERING PR. | |
| Code | BMS415 |
| Name | Biomedical Signal Processing |
| Term | 2019-2020 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 | - | 1. Solve the scientific problems encountered in medicine and medical technologies by applying technical approaches of disciplines. 2. Self development on science and technology issues. 3. Assess the contributions of engineering solutions on medicine, medical technologies and healthcare | 3 |
| PLO02 | - | 1. Define the problems about Biomedical Engineering 2. Modelling the problems about Biomedical Engineering. | 4 |
| PLO03 | - | 1. Analyse data and interpret results | 4 |
| PLO04 | - | 1. Utilize modern techniques and computing tools which are essential for Engineering applications | 4 |
| PLO05 | - | 1. Design and analyse a defined process 2. Recognise national and international problems for Biomedical Engineering | 4 |
| PLO06 | - | Understand the research problems of medical doctor with engineering perspective | 5 |
| PLO07 | - | 1. Describe the ideas clearlywith written and verbally 2. Have the interdisciplinary teamwork skills | 5 |
| PLO08 | - | 1. Have knowledge on calibration and quality assurance systems in Biomedical Engineering 2. Have the sense of responsibility and professional ethics | 3 |
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 | ||