Analysis of Multidimensional Biomedical Signals - AP445003
Title: Analysis of Multidimensional Biomedical Signals
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)
Min. number of students: unlimited
Language: English
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, P445003
Examination dates   
Annotation -
Last update: Pátková Vlasta (08.06.2018)
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: Pátková Vlasta (08.06.2018)

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: Pátková Vlasta (08.06.2018)

Z: K. Narjarian, A. Splinter: Biomedical Signal and Image Processing, Taylor and Francis, CRC, 2006.

Z: D. Caramella, C. Bartolozzi, A.L. Baert: 3D Image Processing: Techniques and Clinical Applications

D: Rafael C. Gonzalez and Steven L. Eddins: Digital Image Processing Using MATLAB, 2nd ed. D: S.M. Dunn, A. Constantinides, P.V. Moghe: Numerical Methods in Biomedical Engineering, 2006.

Learning resources -
Last update: Pátková Vlasta (08.06.2018)

Teaching methods -
Last update: Pátková Vlasta (08.06.2018)

lectures, project and solving of case stidies

Syllabus -
Last update: Pátková Vlasta (08.06.2018)

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: Pátková Vlasta (08.06.2018)


Registration requirements -
Last update: Pátková Vlasta (08.06.2018)


Course completion requirements -
Last update: Pátková Vlasta (08.06.2018)

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.