BIOLOGICAL SIGNAL PROCESSING

AIM

The aim of this course is informing students about biological signal processing methods and give them the opportunity to use their engineering skills in this field.

CONTENT

This course contains; Introduction to Biological Signals ,Filtering for Removal of Artifacts (Noise, Basics of Filtering),Filtering for Removal of Artifacts (Time-domain filters),Filtering for Removal of Artifacts (Frequency-domain filters),Detection of Events ,Waveshape and Waveform Complexity ,Frequency-domain Characterization ,Modelling Biomedical Systems ,Analysis of Nonstationary and Multicomponent Signals ,Pattern Classification - Part 1,Pattern Classification - Part 2,Pattern Classification - Part 3,Student Presentations,Student Presentations.

1. 1

   A Student who successfully complete the course 1- Gains a general knowledge about biological signal processing. 2 -learns the required methods to remove artifacts from the signal. 3- learns how to analyze the signal in frequency domain. 4- Learns stationary and nonstationary signal analyses. 5- Learns pattern classification and decision makine for diagnosis. 6- Has the capability to review and present the research articles in the field.

WEEKLY PLAN

1. WEEK 1

   Introduction to Biological Signals

2. WEEK 2

   Filtering for Removal of Artifacts (Noise, Basics of Filtering)

3. WEEK 3

   Filtering for Removal of Artifacts (Time-domain filters)

4. WEEK 4

   Filtering for Removal of Artifacts (Frequency-domain filters)

5. WEEK 5

   Detection of Events

6. WEEK 6

   Waveshape and Waveform Complexity

7. WEEK 7

   Frequency-domain Characterization

8. WEEK 8

   Modelling Biomedical Systems

9. WEEK 9

   Analysis of Nonstationary and Multicomponent Signals

10. WEEK 10

    Pattern Classification - Part 1

11. WEEK 11

    Pattern Classification - Part 2

12. WEEK 12

    Pattern Classification - Part 3

13. WEEK 13

    Student Presentations

14. WEEK 14

    Student Presentations

ASSESSMENT

• Rate of Midterm Exam to Success50%
• Rate of Final Exam to Success50%

WORKLOAD

READING

• R.M. Rangayyan. Biomedical Signal Analysis, 2nd Edition.

TEACHING STAFF

• Assist.Prof. Zafer İŞCANCOORDINATOR
• Assist.Prof. Zafer İŞCAN