CARDIOVASCULAR ENGINEERING

AIM

This course aims to teach engineering methods that can be used in research to understand and treat circulatory system diseases, and to prepare students for interdisciplinary collaborations to produce solutions.

CONTENT

This course contains; Cardiovascular System, Anatomy of The Heart, Cardiac Cycle, Circulation,Biofluids, Fluid Kinematics, Displacement, Shear Stress, Viscosity,Cardiovascular data mining, analytics of Electronic Health Records (EHR), feature extraction from physiological signals such as ECG and PPG, and pattern recognition in large-scale datasets.,Continuity Principle of Newton Laws, Navier and Stokes Equations,Dynamic System Modeling, Computational Simulation, Numerical Blood Flow Analysis,Medical Image-Based Virtual Models and Computer-Aided Design ,Virtual Operations and Pre-Surgical Planning in Complex Heart Diseases,Patient-Specific Medical Device Design, Tests and Validation,Patient data privacy, cybersecurity in medical devices, blockchain-based healthcare data sharing models, and ensuring data integrity in clinical trials.,Engineering on Pathophysiology of Vascular System,Applications on Physiological Cases,Applications on Computational Structural Cardiovascualr Mechanics ,Student Presentations,Student Presentations.

1. 1

   Recognize complex cardiovascular problems with science and engineering approaches.

   Taught by: Discussion Method, Question - Answer Technique, Micro Teaching Technique, Project Based Learning Model, Simulation Technique, Inquiry-Based Learning, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Oral Exam, Homework

2. 2

   Define the general framework of the design, testing and production processes of the devices to be developed for circulatory system diseases.

   Taught by: Discussion Method, Question - Answer Technique, Lecture Method · Assessed by: Homework

3. 3

   List standards and directives related to medical device regulations.

   Taught by: Discussion Method, Question - Answer Technique, Micro Teaching Technique, Brainstorming Technique, Inquiry-Based Learning, Lecture Method · Assessed by: Traditional Written Exam, Oral Exam, Homework

4. 4

   A virtual systematic planning platform is established and managed in parallel with technological developments.

   Taught by: Discussion Method, Question - Answer Technique, Brainstorming Technique, Simulation Technique, Inquiry-Based Learning, Experiential Learning, Lecture Method · Assessed by: Oral Exam

5. 5

   Has knowledge about vascular diagnostic imaging devices and creates three-dimensional patient-specific models with the outputs obtained from these devices.

   Taught by: Case Study Method, Project Based Learning Model, Simulation Technique, Problem Baded Learning Model, Computer-Internet Supported Instruction, Inquiry-Based Learning, Lecture Method · Assessed by: Homework

6. 6

   Analyze and interpret with at least one of the numerical simulation tools based on blood flow dynamics.

   Taught by: Project Based Learning Model, Simulation Technique, Problem Baded Learning Model, Computer-Internet Supported Instruction, Inquiry-Based Learning, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework

WEEKLY PLAN

1. WEEK 1

   Cardiovascular System, Anatomy of The Heart, Cardiac Cycle, Circulation

   Preparation: Literature Info

2. WEEK 2

   Biofluids, Fluid Kinematics, Displacement, Shear Stress, Viscosity

   Preparation: Literature Info

3. WEEK 3

   Cardiovascular data mining, analytics of Electronic Health Records (EHR), feature extraction from physiological signals such as ECG and PPG, and pattern recognition in large-scale datasets.

4. WEEK 4

   Continuity Principle of Newton Laws, Navier and Stokes Equations

   Preparation: Search on Fluid Mechanics

5. WEEK 5

   Dynamic System Modeling, Computational Simulation, Numerical Blood Flow Analysis

   Preparation: Search The Concepts of Finite Element Analysis

6. WEEK 6

   Medical Image-Based Virtual Models and Computer-Aided Design

   Preparation: Search on the concepts of image processing

7. WEEK 7

   Virtual Operations and Pre-Surgical Planning in Complex Heart Diseases

   Preparation: Literature research

8. WEEK 8

   Patient-Specific Medical Device Design, Tests and Validation

   Preparation: Installig the indicated software

9. WEEK 9

   Patient data privacy, cybersecurity in medical devices, blockchain-based healthcare data sharing models, and ensuring data integrity in clinical trials.

   Preparation: Obtaining ISO 13485 Guidline

10. WEEK 10

    Engineering on Pathophysiology of Vascular System

    Preparation: Review of cardiovascular system notes

11. WEEK 11

    Applications on Physiological Cases

    Preparation: Reading the indicated journal papers

12. WEEK 12

    Applications on Computational Structural Cardiovascualr Mechanics

    Preparation: Reading the indicated journal papers

13. WEEK 13

    Student Presentations

    Preparation: Presentatşion Preperation

14. WEEK 14

    Student Presentations

    Preparation: Presentation Preperations

ASSESSMENT

• Rate of Midterm Exam to Success50%
• Rate of Final Exam to Success50%

WORKLOAD

READING

• 1- Cardiovascular Mathematics - Formaggia, Luca, Quarteroni, Alfio, Veneziani, Alessandro - Springer -2009 2- Mathematical Modelling of the Human Cardiovascular System - Alfio Quarteroni, Luca Dede, Andrea Manzoni, Christian Vergara - Cambridge University Press- 2019 3- Biofluid Mechanics in Cardiovascular System -Lee Waite -McGraw-Hill - 2006
• ISO 18193:2021 - Cardiovascular implants and artificial organs ISO 25539-1:2017 - Cardiovascular implants — Endovascular devices — Endovascular prostheses

TEACHING STAFF

• Assist.Prof. Kevser Banu KÖSECOORDINATOR
• Assist.Prof. Kevser Banu KÖSE