Biomedical signal processing

Course Information
TitleΕπεξεργασία ιατρικών σημάτων / Biomedical signal processing
Interdepartmental ProgrammeIPPS "Medical Informatics" (2019-today)
Collaborating SchoolsMedicine
Electrical and Computer Engineering
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorAnthony Aletras
Course ID600004408

Programme of Study: IPPS "Medical Informatics" (2019-today)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course217.5

Class Information
Academic Year2017 – 2018
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours2
Class ID
Course Type 2016-2020
  • Background
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
General Prerequisites
Good math basis.
Learning Outcomes
They understand the nature of the biomedical signals and the basic principles of the signal processing, so to apply them in recording and analysing the biomedical signals for diagnostic purposes.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Generate new research ideas
  • Be critical and self-critical
Course Content (Syllabus)
The course aims to present biomedical signal processing issues. Alongside the individual specificities of these fields, presented techniques of computer science applied on biomedical signals aims to familiarize students with practical issues related signals, such as ECG and EEG. This course includes: 1. Basic signal processing elements (Fourier analysis, filters, convolution, ...) 2. Noise reduction 3. Applications in biomedical signals. 4. Big data analysis
signal processing, biomedical engineering, digital analysis, filteres, transforms
Educational Material Types
  • Notes
  • Slide presentations
  • Multimedia
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
Laboratory Work120.4
Reading Assigment200.7
Field trips and participation in conferences / seminars / activities100.3
Written assigments100.3
Student Assessment
The evaluation is based on both bibliographic or field work, or on the basis of attending seminars / conferences, as well as on the basis of the preparation of a specific project at the end of the course. In the presentation of the latter, there exists an evaluation of presentation skills and development of methodological solutions proposed by the students.
Student Assessment methods
  • Performance / Staging (Summative)
  • Report (Formative)
  • Labortatory Assignment (Formative, Summative)
Course Bibliography (Eudoxus)
Ψηφιακή επεξεργασία σημάτων Συγγραφέας: Σταύρος Μ. Πανάς Εκδότης: University Studio Press ISBN: 9789601201757
Additional bibliography for study
Digital Signal Processing (4th Edition)(2006) John G. Proakis, Dimitris K Manolakis Published by Prentice Hall. ISBN-13: 978-0131873742 ISBN-10: 0131873741
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