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Information
| Code | BMM0044 |
| Name | Fundamentals and Measurement of Biopotential |
| Term | 2022-2023 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator |
Course Goal / Objective
Understanding the basics of biosignals, understanding and modeling the chemical process behind them, teaching the basic equipment for instrumentation and transferring the necessary mathematical methods.
Course Content
Structure of the Central Nervous System and Peripheral Nervous System, Electrical signals in cells, Nernst Equation, Chemical basis of electrical signals, Ion channels, Time and space in signals, Post-synaptic receptors, Neural transmitters and pathology, Models of biological conductors, Action potential, Hodgkin-Huxley Model , Numerical Methods: Hodgkin-Huxley solution, Runge-Kutta Python solution
Course Precondition
None
Resources
S. Grimnes, G. Martinsen, Bioimpedance and Bioelectricity Basics
Notes
B. He, "Modelling and Imaging of Bioelectrical Activity"
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Student learns the basics and source of biosignals |
| LO02 | Can model formation systems of biosignals |
| LO03 | Can implement these models in Python environment |
| LO04 | Learns the basic instrumentation methods required for measurement |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To be able to reach new solutions by applying current and advanced technical approaches of mathematics, science and engineering sciences to current scientific problems encountered in the field of medicine and medical technologies. | 5 |
| PLO02 | Yetkinlikler - Öğrenme Yetkinliği | Having knowledge of the literature related to a sub-discipline of biomedical engineering, defining and modeling current problems, and being a specialist in that discipline. | 5 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Analyzing data, making theoretical and simulation based designs, designing experiments and interpreting the results. | 5 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Developing researched contemporary techniques, software, hardware 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 | To be able to carry out scientific studies with medical doctors and members of other disciplines from an engineering point of view. | |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing one's own findings orally and in writing, clearly and concisely, writing conference and journal papers. | |
| 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 | The ability to act independently, set priorities and be creative. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Being aware of national and international contemporary scientific and social problems in the field of Biomedical Engineering. | |
| 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. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Structure of Central Nervous System and Peripheral Nervous System | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 2 | Electrical signals in cells, | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 3 | Nernst Equation, Chemical basis of electrical signals | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 4 | Ion channels, Time and space in signals | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 5 | Post-synaptic receptors, Neural transmitters and pathology | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 6 | Models of biological conductors | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 7 | Action potential | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Review | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Hodgkin-Huxley Model I | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 10 | Hodgkin-Huxley Model II | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 11 | Euler Method, Runge-Kutta Method | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 12 | Numerical Methods: Hodgkin-Huxley solution, Runge-Kutta Python solution | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 13 | Bioelectrical Applications I: Parkinson's | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 14 | Bioelectrical Applications II: Epilepsy | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 15 | Bioelectrical Applications III: Addiction | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Review | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Review | 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 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||