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Information
| Code | BMM0081 |
| Name | Physiological Signals and Biomedical Applications |
| Term | 2024-2025 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
1 |
Course Goal / Objective
The aim of this course is to teach physiological signals, measurement methods of these signals, and their use in current diagnostic and rehabilitation applications in the field of biomedical.
Course Content
Physiological signals and measurement methods. The effects of physical and psychological changes in the body on physiological signals. Use of physiological signals in diagnosis, performance evaluation and rehabilitation.
Course Precondition
None
Resources
Varun Bajaj, G. R. Sinha, Chinmay Chakraborty, “Biomedical Signal Processing for Healthcare Applications”, CRC Press, 2021
Notes
Lecture Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Recognizes physiological signals and knows measurement methods |
| LO02 | Explains the factors affecting physiological signals |
| LO03 | Knows the diagnostic systems that can be developed using physiological signals. |
| LO04 | Learns performance analysis and rehabilitation applications of physiological signals |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To be able to solve scientific problems encountered in the field of medicine and medical technologies by applying current and advanced technical approaches of mathematics, science and engineering sciences. | 5 |
| PLO02 | Yetkinlikler - Öğrenme Yetkinliği | To have a knowledge of the literature related to a sub-discipline of biomedical engineering, to define and model current problems. | |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Ability to analyze data, design and conduct experiments, and interpret results | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Developing researched contemporary techniques and computational tools for engineering applications | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | To be able to analyze and design a process in line with a defined target | |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Conducting scientific studies with a medical doctor from an engineering perspective. | 4 |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing own findings orally and in writing, clearly and concisely. | |
| PLO08 | 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. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to act independently, set priorities and creativity. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Being aware of national and international contemporary scientific and social problems in the field of Biomedical Engineering. | 4 |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | To be able to evaluate the contribution of engineering solutions to problems in medicine, medical technologies and health in a global and social context. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Physiological Signals | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | EOG Signal and effecting factors. | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | EOG Signal Measurement methods and application areas | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 4 | EMG Signal and effecting factors. | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 5 | EMG differences between healthy individuals and patients and their causes | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 6 | EMG signal measurement methods and applications | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 7 | Use of EMG signal in rehabilitation | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 8 | Mid-Term Exam | Reading lecture materials | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
| 9 | EKG Signal and effecting factors. | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | Current ECG measurement methods and diagnostic applications of ECG signal | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | HR and HR Variation signals | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 12 | Importance of HR and HRV signals for diagnosis and exercises | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 13 | Respiratory Rate and affecting factors | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Skin conductivity signal and its affecting factors in the body | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | The importance of skin conductivity in diagnosis and exercise evaluation systems | Reading lecture materials | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 16 | Term Exams | Reading lecture materials | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
| 17 | Term Exams | Reading lecture materials | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
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 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 5 | 5 | 25 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 2 | 2 |
| Final Exam | 1 | 2 | 2 |
| Total Workload (Hour) | 141 | ||
| Total Workload / 25 (h) | 5,64 | ||
| ECTS | 6 ECTS | ||