354.073 Biosignal analysis using Matlab
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to conduct basic biosignal analysis with the help of Matlab. They are able to design digital signal filters, detect events in the time domain using automated Matlab scripts, and carry out analyzes in the frequency domain. They also have a basic theoretical understanding of the physiological origin of biosignals and their digitization. 


Subject of course

The course incorporates lectures, exercises and specific project works. The aim is to present analytical methods for biosignal processing with emphasis on the electrocardiogram and arterial pressure waves. In addition to measuring procedures, methods of signal analysis will be introduced. The focus will be laid on the implementation in Matlab. The possibilities of Matlab to apply these methods will be presented. In hands-on lessons, the gained knowledge will be turned into practice. The expertise will be strengthened in praxis-related projects.

 

Teaching methods

This course will combine lectures, hands-on lessons and project works. 

Lecture: Presentations by the lecturers of this course will be given.

Hands-on lessons: Students and lecturer work on programming tasks together. Please have your laptop with Matlab ready.

Project: Students will get programming tasks to be carried out independently. The last project also includes a final presentation in front of the class.

Questions & Answers: Students will have the chance to ask questions on their specific project works. Lecturers will be available at the scheduled times. 

 

Mode of examination

Immanent

Additional information

This course will combine lectures, hands-on lessons and project works. As a prerequisite for a positive grade, all project works have to be submitted via TUWEL and a final presentation has to be given.

The course is structured in these types:

LE: Lecture
Presentations by the lecturers of this course will be given.

HO: Hands-on lesson
Students and lecturer work on programming tasks together. Please have your laptop with Matlab ready.

PR: Project
Students will get programming tasks to be carried out independently. The last project also includes a final presentation in front of the class.

QA: Questions & Answers
Students will have the chance to ask questions on their specific project works. Lecturers will be available at the scheduled times. We encourage you to work on your projects during the Q&A lessons.

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed15:00 - 17:0005.10.2022 - 25.01.2023EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Biosignal analysis using Matlab - Single appointments
DayDateTimeLocationDescription
Wed05.10.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed12.10.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed19.10.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed09.11.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed16.11.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed23.11.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed30.11.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed07.12.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed14.12.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed21.12.202215:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed11.01.202315:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed18.01.202315:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab
Wed25.01.202315:00 - 17:00EI 9 Hlawka HS - ETIT Biosignal analysis using Matlab

Examination modalities

For grading, the results of the project works will be weighted in the following manner:

Project1: 35% (Program code)

Project2: 65% (Program code, analysis result, discussion, presentation)

At the end of this course, everyone will discuss Project2 with a lecturer and give a short presentation.

 

Course registration

Begin End Deregistration end
26.09.2022 12:00 31.10.2022 23:59 31.10.2022 23:59

Curricula

Literature

No lecture notes are available.

Preceding courses

Continuative courses

Miscellaneous

Language

English