Multidimensional Processing of Physiological Data

Garant předmětu:

Martin Rožánek

Lecturer:

Martin Rožánek

Tutor:

Jan Hejda, Martin Rožánek

Supervisor:

Department of Biomedical Technology

Synopsis:

The course responds to the progress in the field of data acquisition and recording in routine examination of patients and from animal and clinical experiments. The aim is to develop the ability to identify and evaluate processes captured in data, including their dynamics, and to capture these processes in realistic mathematical models of physiological and pathophysiological processes. Problems of data preprocessing and synchronization, computational efficiency, identification of trends and patterns, dynamic and stochastic models, visualization of measured data and model output will be discussed. The multidimensional nature of the data will be respected.

Requirements:

Syllabus of lectures:

1.Characteristics of signals

2. Recording of multidimensional data

3. Problems of high-volume and multidimensional data processing

4. Spectral analysis

5. Correlation analysis

6. Wavelet transform

7. Hilbert transformation

8. Cepstral analysis

9. Cluster analysis

10. Data classification

Syllabus of tutorials:

Study Objective:

Study materials:

Note:

Time-table for winter semester 2022/2023:

Time-table is not available yet

Time-table for summer semester 2022/2023:

Time-table is not available yet

The course is a part of the following study plans: