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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EEE 5105 HRV ANALYSIS ELECTIVE 2 2 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR MEHMET KUNTALP

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies Industrial Ph.D. Program In Advanced Biomedical Technologies ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH) Biomedical Tehnologies (English) ELECTRICAL AND ELECTRONICS ENGINEERING NON -THESIS (EVENING PROGRAM) (ENGLISH) ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH) ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)

Course Objective

The course aims to provide the students with a detailed knowledge on HRV analysis and its clinical applications.

Learning Outcomes of the Course Unit

1   Learn to apply the HRV analysis technique to help physicians in solving some clinical problems. 2   Apply various signal processing techniques learned during undergraduate study. 3   Learn electrical activity of heart 4   Apply nonlinear analysis techniques to HRV data 5   Learn clinical applications of HRV

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Overview of Cardiovascular System 2 Overview of Autonomic Nervous System 3 Acquisition and properties of the HRV signal 4 Preprocessing of HRV Signal I 5 Preprocessing of HRV Signal II 6 Time Domain Methods 7 Frequency Domain Methods 8 Geometric Methods 9 Poincare Method 10 Nonlinear Methods I 11 Nonlinear Methods II 12 Applications of HRV Analysis I 13 Applications of HRV Analysis I 14 Midterm

Recomended or Required Reading

to be announced

Planned Learning Activities and Teaching Methods

Lecture+Exam+Homeworks

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FCG FINAL COURSE GRADE MTE * 0.50 + ASG * 0.50 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Lecture+Exam+Homeworks

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

mehmet.kuntalp@deu.edu.tr

Office Hours

will be posted

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparations before/after weekly lectures 12 5 60 Preparation for midterm exam 1 25 25 Preparing assignments 12 5 60 Midterm 1 4 4 TOTAL WORKLOAD (hours) 188

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 4 4 1 LO.2 2 2 2 2 3 4 LO.3 4 4 4 4 4 4 4 4 4 4 LO.4 4 4 4 4 4 4 4 4 4 4 LO.5 4 4 4 4 4 4 4 4 4 4