Course detail

Biological Signal Analysis

FEKT-AABSAcad. year: 2009/2010

The subject is focused on native and evoked biological signals (biosignals) in man, It deals with the types and characteristics of electric, magnetic, sonic and mechanical signals generated by the individual systems in human organism and on the methods of their representation, including polygraphic methods. It emphasises the use of general and specific methods for pre-processing, analysis and interpretation of biosignals.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Jiří Kozumplík, CSc.

Department

Department of Biomedical Engineering (UBMI)

Learning outcomes of the course unit

Understanding the generation of individual types of biosignals, their basic characteristics, imaging methods, Expert methods of analysis and interpetation.

Prerequisites

Knowledge at secondary school level and of completed subjects in the study area

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Requirements for successful completion of the subject are specified by guarantor’s regulation updated for every academic year.

Course curriculum

Classification of biosignals. Signals of the cardiovascular system (EKG, VKG, HRV, FeEKG, PKG ), the nervous system (EEG), skeleton muscles (EMG), the digestive system (EGG), the optical system (ERG, EOG), the auditory system (ECochG, ENG). Storage and transfer of biosignals.

Work placements

Not applicable.

Aims

To develop a technical approach to the functions of individual systems in human organism and their active expressions in the form of generated biosignals.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Svatoš, J.: Biologické signály I. Geneze, zpracování a analýza. Skripta FEL ČVUT, Vydavatelství ČVUT, Praha, 1992 (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme BTBIO-A Bachelor's

    branch A-BTB , 2. year of study, summer semester, compulsory

  • Programme EEKR-CZV lifelong learning

    branch ET-CZV , 1. year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

doc. Ing. Jiří Kozumplík, CSc.

Syllabus

Basic classification of biosignals. Polygraphic methods. Evoked biosignals. Genesis of biosignals. The action potential and its propagation. Artefacts of technical and biological origin. The cardiovascular system and its signals (EKG, VKG). Characteristics, scanning and imaging. Detection of QRS complexes. Suppression of noise, measurement of waves in EKG, classification systems. Stress EKG. Monitored EKG. T wave alternans. Heart rate variability (HRV). Phonocardiogram (PKG). The nervous system and EEG signal, graphoelements, artefacts. Evoked EEG. Analysis in the time domain. EEG analysis in the frequency domain and in the time-frequency domain. Electromyogram (EMG), The digestive system and electrogastrogram (EGG). The optical system and its biosignals, electroretinogram (ERG), electrooculogram (EOG). The auditory system and audiometry, electrocochleogram (ECochG), electronystagmogram (ENG). Storage and transfer of biosignals, principles of the methods of signal data compression.

Exercise in computer lab

13 hours, compulsory

Teacher / Lecturer

doc. Ing. Radim Kolář, Ph.D.
Ing. Martin Vítek, Ph.D.

Syllabus

(2 hrs./2 weeks: Matlab for biosignals processing)
Matlab for filtering and spectral analysis of signals
Design of filters for ECG signal processing
Vectorcardiography and heart axis
Design of QRS detectors
HRV analysis
Spectral analysis of EEG signals
Analysis of EMG signals
Presentation of project results

The other activities

13 hours, compulsory

Teacher / Lecturer

doc. Ing. Jiří Kozumplík, CSc.

Syllabus

(13hrs./sem., signal processing in Matlab. Choice of 1 project, presentation of results)
Topics for projects:
Linear and nonlinear filtering of ECG signals
QRS detection in ECG signals
Drift and brum suppression in ECG signals
Analysis of heart rare variability in the frequency domain
Detection of T-wave alternans in ECG signal
Spectral analysis of the EEG signal
Evoked potentials processing
Surface EMG signal processing