Türkçe | English
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Master of Science in Engineering (With Thesis)
Course Catalog
http://eee.ktu.edu.tr/eng/default_eng.aspx
Phone: +90 0462 3253154 , 3772906
FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / Master of Science in Engineering (With Thesis)
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 

ELK5960Biomedical Signal Analysis3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
Lecturer--
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
Describe the origin, properties of ECG, EEG, EMG and PSG Filtering biomedical signals Determine and successfully apply suitable algorithms for analysis of biomedical signals. Implement algorithms for parametric and non-parametric estimation of a signal's power spectrum density. Implement time-frequency analysis algorithms. Filtering biomedical signals.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Explain nature of biomedical signals such as EMG, ECG, EEG, and PSG1,2,41,3
PO - 2 : Explain the characteristics of biomedical signals2,4,6,81,3
PO - 3 : Apply signal processing techniques for filtering, noise removal, cancellation of interference1,4,5,61,3
PO - 4 : Design signal processing techniques for the detection of important events1,3,4,61,3
PO - 5 : Apply spectral analysis techniques to biomedical signals1,2,41,3
PO - 6 : Apply frequency-time algorithms to biomedical signals1,4,61,3
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
The nature of biological signals: EMG, ECG, EEG, PCG, The origin of biopotentials, Data acquisition systems, Noise and interference, DSP fundamentals: Sampling, filtering, frequency domain analysis, Filtering artifacts, Event detection , Detection of the QRS complex, Modeling biomedical signals, Analyzing nonstationary signals, Frequency-time analysis, EEG analysis, PSG analysis.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1The origin of biopotentials: EMG, ECG
 Week 2The origin of biopotentials EEG, PCG
 Week 3Data acquisition systems
 Week 4Noise and interference
 Week 5DSP fundamentals: Sampling, filtering
 Week 6Frequency domain analysis
 Week 7Filtering artifacts
 Week 8ECG analysis
 Week 9Mid-term exam
 Week 10Detection of the QRS complex
 Week 11Modeling biomedical signals
 Week 12EMG analysis
 Week 13Time-frequency analysis for biological signals
 Week 14EEG analysis
 Week 15Project presentaion
 Week 16Final exam
 
Textbook / Material
1Rangarray, R. M., 2002; Biomedical Signal Analysis, IEEE Press/Wiley, New York
2Bruce E.N, 2001; Biomedical signal processing and signal modeling,.Wiley-Interscience,
3Semmlow: J. L. 2004, Biosignal and Biomedical image processing: MATLAB-based Applications. CRC Press,
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 2,00 30
Project 15 1,00 20
End-of-term exam 16 2,00 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Arasınav için hazırlık 6 8 48
Arasınav 2 1 2
Proje 5 13 65
Dönem sonu sınavı için hazırlık 6 6 36
Dönem sonu sınavı 2 1 2
Total work load195