SubjectsSubjects(version: 941)
Course, academic year 2023/2024
Analysis of Multidimensional Biomedical Signals - P445003
Title: Analýza vícerozměrných biomedicínských dat
Guaranteed by: Department of Mathematics, Informatics and Cybernetics (446)
Faculty: Faculty of Chemical Engineering
Actual: from 2022
Semester: both
Points: 0
E-Credits: 0
Examination process:
Hours per week, examination: 3/0, other [HT]
Capacity: winter:unknown / unknown (unknown)
summer:unknown / unknown (unknown)Schedule is not published yet, this information might be misleading.
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
For type: doctoral
Note: course is intended for doctoral students only
can be fulfilled in the future
you can enroll for the course in winter and in summer semester
Guarantor: Mareš Jan doc. Ing. Ph.D.
Interchangeability : D445022
Is interchangeable with: AP445003
Examination dates   Schedule   
Annotation -
Last update: Mareš Jan doc. Ing. Ph.D. (28.05.2018)
The subject deals with modern methods and tool in biomedisal and medical field (CT, NMR,...). Students will solve several case studies including real applications. For the exam it is necessary to propose a draft of publication form the field of disertation thesis.
Aim of the course -
Last update: Mareš Jan doc. Ing. Ph.D. (28.05.2018)

Students will be able to:

  • model advanced biological processes,
  • proces 1D, 2D and 3D signals,
  • prepare the experiments for selected biomedical data acquisition
Literature -
Last update: Mareš Jan doc. Ing. Ph.D. (01.10.2018)

Z: K. Narjarian, A. Splinter: Biomedical Signal and Image Processing, 2nd edition, Taylor and Francis, CRC, 2012. ISBN: 978-1-4398-7034-1

Z: D. Caramella, C. Bartolozzi, A.L. Baert: 3D Image Processing: Techniques and Clinical Applications. Springer Verlag. 2002 ISBN: 978-3642639777

D: Rafael C. Gonzalez and Steven L. Eddins: Digital Image Processing Using MATLAB, 2nd ed. Dorling Kindersley Pvt Ltd. 2006. ISBN: 978-8177588989

D: S.M. Dunn, A. Constantinides, P.V. Moghe: Numerical Methods in Biomedical Engineering. Academic Press. 2006. ISBN: 978-0121860318

Learning resources -
Last update: Mareš Jan doc. Ing. Ph.D. (28.05.2018)

Teaching methods -
Last update: Mareš Jan doc. Ing. Ph.D. (07.06.2018)

lectures, project and solving of case stidies

Syllabus -
Last update: Mareš Jan doc. Ing. Ph.D. (28.05.2018)

1) Advanced CT image analysis

2) Methods of NMR analysis

3) EEG data analysis

4) Biomedical signals modeling - overview

5) Adnaced biomedical signal visualisation in time and frequency domain

6) Chaos and dynamical analysis

7) Biomedical data formats

8) PWA model of EEG data

9) Modeling of neuron electrical activity

10) EEG synchronisation

11) EMG, detection, localisation and classification

12) Comunication models in biomedical objects

13) Biostaistics

14) Advanced modeling in biology and physiology

Entry requirements -
Last update: Mareš Jan doc. Ing. Ph.D. (07.06.2018)


Registration requirements -
Last update: Mareš Jan doc. Ing. Ph.D. (07.06.2018)


Course completion requirements -
Last update: Mareš Jan doc. Ing. Ph.D. (28.05.2018)

3 individual projects: 0 - 25 bodů

Oral exam: 0-75 bodů

100-90 A, 89-80 B, 79-70 C, 69-60 D, 59-50 E, méně než 50 F.