MACRO AND MICRO ANALYSIS OF SLEEP SIGNALS

BME535

Course Code: BME535
Semester: -
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Elective Course

Course Level

Master's Degree Without Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

To have information about sleep structure and stages.
To have information about the physiological markers in sleep.
Ability to analyze macro structures in Sleep Signals.
Ability to analyze micro structures in Sleep Signals.
Ability to analyze sound signals in Sleep Signals.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

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
1^st Week	1st Week What is Sleep? Structure of sleep, sleep stages
2^nd Week	2nd Week Physiological Markers in Sleep
3^rd Week	3rd Week Physiological Markers in Sleep
4^th Week	4th Week the polysomnography
5^th Week	5th Week Sleep disorders
6^th Week	6th Week Macro Analysis in Sleep Signals, Case Study: EEG, ECG, Respiration, etc.
7^th Week	7th Week Macro Analysis in Sleep Signals, Case Study: EEG, ECG, Respiration, etc.
8^th Week	8th Week MIDTERM
9^th Week	9th Week Micro Analysis in Sleep Signals, Case Study: EEG, EMG, ERP etc.
10^th Week	10th Week Micro Analysis in Sleep Signals, Case Study: EEG, EMG, ERP etc.
11^th Week	11th Week Micro Analysis in Sleep Signals, Case Study: EEG, EMG, ERP etc.
12^th Week	12th Week Analysis of Sound Signals in Sleep
13^th Week	13th Week Project Presentations
14^th Week	14th Week Project Presentations

Recommended 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 Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
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 Work Load			288
Total Work Load / 30 (h)			9.6
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5
K1		X	X
K2		X	X	X
K3		X
K4		X
K5	X	X
K6		X	X
K7
K8	X		X