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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
MACRO AND MICRO ANALYSIS OF SLEEP SIGNALS BME535 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree Without Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) To have information about sleep structure and stages.
2) To have information about the physiological markers in sleep.
3) Ability to analyze macro structures in Sleep Signals.
4) Ability to analyze micro structures in Sleep Signals.
5) Ability to analyze sound signals in Sleep Signals.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONWhat is Sleep? Structure of Sleep, Stages of Sleep; Physiological Markers in Sleep; Physiological Markers in Sleep Polysomnography, Sleep Disorders, Macro Analysis of Sleep Signals, Case Study: EEG, EKG, Respiration etc. Micro-Analysis of Sleep Signals, Case study: EEG, EMG, ERP etc;Analysis of Sound Signals in Sleep
COURSE CONTENTS
WEEKTOPICS
1st Week 1st Week What is Sleep? Structure of sleep, sleep stages
2nd Week 2nd Week Physiological Markers in Sleep
3rd Week 3rd Week Physiological Markers in Sleep
4th Week 4th Week the polysomnography
5th Week 5th Week Sleep disorders
6th Week 6th Week Macro Analysis in Sleep Signals, Case Study: EEG, ECG, Respiration, etc.
7th Week 7th Week Macro Analysis in Sleep Signals, Case Study: EEG, ECG, Respiration, etc.
8th Week 8th Week MIDTERM
9th Week 9th Week Micro Analysis in Sleep Signals, Case Study: EEG, EMG, ERP etc.
10th Week 10th Week Micro Analysis in Sleep Signals, Case Study: EEG, EMG, ERP etc.
11th Week 11th Week Micro Analysis in Sleep Signals, Case Study: EEG, EMG, ERP etc.
12th Week 12th Week Analysis of Sound Signals in Sleep
13th Week 13th Week Project Presentations
14th Week 14th Week Project Presentations
15th Week
RECOMENDED OR REQUIRED READINGRangayyan, Rangaraj M. Biomedical signal analysis. Vol. 33. John Wiley & Sons, 2015.
Oppenheim, Alan V. Discrete-time signal processing. Pearson Education India, 1999.
American Academy of Sleep Medicine (AASM) Sleep Scoring Book, 2007
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Presentation,Project
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Project160
Attendance110
Total(%)100
Contribution of In-term Studies to Overall Grade(%)100
Contribution of Final Examination to Overall Grade(%)0
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam17272
Preparation for Quiz000
Individual or group work236
Preparation for Final exam12424
Course hours14342
Preparation for Midterm exam12424
Laboratory (including preparation)000
Final exam19696
Homework
Project12424
Total Workload288
Total Workload / 309,6
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

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