The aim of this course is to be knowledgeable in the basic level of signal processing techniques and being able to perform various mathematical operations at obtained signals.
Course Content
This course contains; Signal concept and biomedical signals,Analog (continuous) signals,Combined signals ,Noise analysis,Digital (discrete) signals,Digitization (sensors and sampling) and histograms,Missing data point recovery,SNR calculations,FIR and IIR filtering,Convolution,Fundamental filters,Complex filters,Edge detection,Advanced filtering examples.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Knowledge of signal concept
2. Defining signal types
3. Analyzing noise in signals
4. Digitization of analog signals
5. Knowledge of signal filters and performing basic filtering applications
Teaching Methods:
Assessment Methods:
Course Outline
Order
Subjects
Preliminary Work
1
Signal concept and biomedical signals
2
Analog (continuous) signals
3
Combined signals
4
Noise analysis
5
Digital (discrete) signals
6
Digitization (sensors and sampling) and histograms
7
Missing data point recovery
8
SNR calculations
9
FIR and IIR filtering
10
Convolution
11
Fundamental filters
12
Complex filters
13
Edge detection
14
Advanced filtering examples
Resources
BRONZINO, Joseph D. Biomedical engineering handbook. CRC press, 1999.
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Offer necessary applications and solution proposals in the field of
biomedical device.
X
2
Define adequate practical, theoretical and technical knowledge in suitable areas in the field of biomedical device.
X
3
Take responsibility unpredictable alone or in teams to solve complex problems in applications related to the field.
X
4
Use theoretical and practical knowledge in the field of biomedical device.
X
5
Reach information and survey resources in the field of biotechnologhy and medicine.
X
6
Perform maintenance and calibration by troubleshooting of biomedical devices.
7
Has an ability to design and conduct experiments, and interpret the results.
X
8
Demonstrate technical application skills in the medical devices.
X
9
Be able to recognize and design electric circuit systems.
X
10
Follow the developments in the field of biomedical devices, and critically evaluate the knowledge and skills acquired.
X
11
Applies quality assurance and standards by obeying occupational health safety rules in the field of biomedical device.
12
By acting in accordance with professional ethics, principles and values, become a model to colleagues and society.
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
40
Rate of Final Exam to Success
60
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
14
3
42
Resolution of Homework Problems and Submission as a Report
1
3
3
Term Project
0
0
0
Presentation of Project / Seminar
1
3
3
Quiz
2
1
2
Midterm Exam
1
14
14
General Exam
1
14
14
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
120
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(120/30)
4
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
SIGNAL PROCESSING TECHNIQUES
-
Fall Semester
3+0
3
4
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
Short Cycle (Associate's Degree)
Course Type
Elective
Course Coordinator
Lect. Ercüment Cenap TURAN
Name of Lecturer(s)
Lect. Ercüment Cenap TURAN
Assistant(s)
Aim
The aim of this course is to be knowledgeable in the basic level of signal processing techniques and being able to perform various mathematical operations at obtained signals.
Course Content
This course contains; Signal concept and biomedical signals,Analog (continuous) signals,Combined signals ,Noise analysis,Digital (discrete) signals,Digitization (sensors and sampling) and histograms,Missing data point recovery,SNR calculations,FIR and IIR filtering,Convolution,Fundamental filters,Complex filters,Edge detection,Advanced filtering examples.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1. Knowledge of signal concept
2. Defining signal types
3. Analyzing noise in signals
4. Digitization of analog signals
5. Knowledge of signal filters and performing basic filtering applications
Teaching Methods:
Assessment Methods:
Course Outline
Order
Subjects
Preliminary Work
1
Signal concept and biomedical signals
2
Analog (continuous) signals
3
Combined signals
4
Noise analysis
5
Digital (discrete) signals
6
Digitization (sensors and sampling) and histograms
7
Missing data point recovery
8
SNR calculations
9
FIR and IIR filtering
10
Convolution
11
Fundamental filters
12
Complex filters
13
Edge detection
14
Advanced filtering examples
Resources
BRONZINO, Joseph D. Biomedical engineering handbook. CRC press, 1999.
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Offer necessary applications and solution proposals in the field of
biomedical device.
X
2
Define adequate practical, theoretical and technical knowledge in suitable areas in the field of biomedical device.
X
3
Take responsibility unpredictable alone or in teams to solve complex problems in applications related to the field.
X
4
Use theoretical and practical knowledge in the field of biomedical device.
X
5
Reach information and survey resources in the field of biotechnologhy and medicine.
X
6
Perform maintenance and calibration by troubleshooting of biomedical devices.
7
Has an ability to design and conduct experiments, and interpret the results.
X
8
Demonstrate technical application skills in the medical devices.
X
9
Be able to recognize and design electric circuit systems.
X
10
Follow the developments in the field of biomedical devices, and critically evaluate the knowledge and skills acquired.
X
11
Applies quality assurance and standards by obeying occupational health safety rules in the field of biomedical device.
12
By acting in accordance with professional ethics, principles and values, become a model to colleagues and society.
