Information Package / Course Catalogue
Analysis and Evaluation of Physiological Signals
Course Code: BYF606
Course Type: Required
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

Physiological signal recording, processing, sampling, evaluation stages, In the case of physiological signals, destroying and weakening, derivative and integral gain, filtering, digitization, sampling, determination of statistical characteristics, digital filtering, Fourier and Wavelet analysis

Course Content

Physiological signal recording, processing, sampling, evaluation stages are covered. In the case of physiological signals, destroying and weakening, derivative and integral gain, filtering, digitization, sampling, determination of statistical characteristics, digital filtering, Fourier and Wavelet analysis will be studied.

Name of Lecturer(s)
Learning Outcomes
1.Learning and applying the electrophysiological/biophysical devices used to record, process, illustrate and interpret physiological signals
2.To record, process, illustrate and interpret physiological signals, attenuation and annihilation, derivatization and integralization, filtering, giving value and illustration of physiological signals
3.Determining the statistical characteristics
4.Learning DASYLab programme and be able to make circuit simulation
5.Be able to apply Fast Fourier transformation and Wavelet analysis to data
Recommended or Required Reading
1.Brown ve et al. Medical physics and biomedical engineering,IOP, Sheffield, 2001
2.Ferit Pehlivan, Biophysics, Hacettepe-Taş yayınevi, Ankara, 2005.
3.Lecture notes of the summer school on signal analysis, İzmir, 1996
4.Rondo and Tarjan, An introduction to biophysics with medical orientation,Akademiai kiado, Budapest, 1991.
5.Wavelet analysis toutorial web pages
Weekly Detailed Course Contents
Week 1 - Theoretical
Biomedical signals: Sources and properties
Week 2 - Theoretical
Biomedical transducres
Week 3 - Theoretical
Biosensors
Week 4 - Theoretical
Biopotential electrodes
Week 5 - Theoretical
Analog preprocessing: Amplifiers
Week 6 - Theoretical
Filters
Week 7 - Intermediate Exam
Midterm Exam
Week 8 - Theoretical
illustration and digitizing biomedical signals
Week 9 - Theoretical
Giving value to an example voltage in a binary system
Week 10 - Theoretical
Learning DASYLab programme
Week 11 - Theoretical
Simple statistical methods
Week 12 - Theoretical
Fast Fourier transformation analysis
Week 13 - Theoretical
Wavelet analysis
Week 14 - Theoretical
Circuit simulation applications using DASYLab
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Presentation1%2.5
Assignment1%2.5
Midterm Examination1%25
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory131239
Lecture - Practice130226
Assignment110111
Presentation 110111
Midterm Examination112214
Final Examination116218
TOTAL WORKLOAD (hours)119
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
PÇ-16
PÇ-17
PÇ-18
PÇ-19
PÇ-20
OÇ-1
5
5
5
5
5
1
2
1
1
5
5
1
1
1
4
1
2
3
5
1
OÇ-2
5
5
5
5
5
1
2
1
1
5
5
1
1
2
3
2
2
1
5
4
OÇ-3
3
3
3
3
5
3
1
1
1
1
2
1
1
1
2
2
1
1
5
5
OÇ-4
3
3
3
3
5
1
1
1
1
1
1
1
1
1
3
1
1
1
5
5
OÇ-5
3
3
3
4
5
1
1
1
1
1
1
1
1
1
1
1
1
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026