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 DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
What 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
WEEK
TOPICS
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 READING
Rangayyan, 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 METHODS
Lecture,Presentation,Project
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
30
Project
1
60
Attendance
1
10
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 exam
1
72
72
Preparation for Quiz
0
0
0
Individual or group work
2
3
6
Preparation for Final exam
1
24
24
Course hours
14
3
42
Preparation for Midterm exam
1
24
24
Laboratory (including preparation)
0
0
0
Final exam
1
96
96
Homework
Project
1
24
24
Total Workload
288
Total Workload / 30
9,6
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)