BMT-52606 Processing of Biosignals, 5 cr


Basics of signal processing is a pre-requisite for this course.


Milla Jauhiainen, Julia Pietilä


Toteutuskerta Periodi Vastuuhenkilö Suoritusvaatimukset
BMT-52606 2018-01 4 Milla Jauhiainen
Julia Pietilä
Accepted computer assignments and reports and final exam.


This course provides the basics of applying signal processing methods on biosignals of physiological or behavioural origin. Student is assumed to have basic signal processing method knowledge and basic skills for using Matlab prior the course. After this course, the student can: - describe the common properties of biosignals, and describe basic challenges in processing and analyzing them. - explain the principles of filtering and spectral analysis and select suitable methods for applications in health and biology. - analyze common methods of statistical modeling of biomedical or behavioral signal data and explain the assumptions of the models. - assess the performance of a developed biosignal processing or analysis method. - apply signal processing methods to biological signals including EEG and ECG. - implement such methods to process biological signals.


Sisältö Ydinsisältö Täydentävä tietämys Erityistietämys
1. Types and origins of physiological and biological signals, and their basic properties. Basics of data acquisition, sampling, and filtering related to biosignals.   Artefacts and missing data in biosignals.  Insights in physiological and biological signal generators. 
2. Filtering of biosignals. Linear filtering, filter design for biosignals.  Non-linear filtering, median filtering, adaptive filtering.    
3. Spectral analysis and its applications in biosignals.  Autoregressive spectral estimation.  Time-frequency analysis. 
4. Statistical modelling of biological data. Classification problem.   Clustering, regression analysis.   
5. Performance estimation, hypothesis testing.  Statistical methods in hypothesis testing and performance estimation.   
6. Computer exercises with Matlab: applying signal processing and analysis methods in real biosignals (incl. EEG, ECG).   Designing and implementing own algorithms for biosignal processing in Matlab.   

Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi

Exercises 20%, exam 80%. There will be 4 Matlab exercises. The final grade of the course is determined based on the assessment of all part of the course. The weighting factor of each part is given at the beginning of the course.


Numerical evaluation scale (0-5)


Completion parts must belong to the same implementation


Tyyppi Nimi Tekijä ISBN URL Lisätiedot Tenttimateriaali
Book   Biomedical Signal Analysis, 2nd edition   Rangaraj M. Rangayyan       The book can be found here and accessed from TUT network   No   
Lecture slides   Lceture notes on Processing of Biosignals   Lecturer       Lecture notes + selected extra materials.   Yes   


Opintojakso P/S Selite
SGN-11000 Signaalinkäsittelyn perusteet Mandatory   1
SGN-11007 Introduction to Signal Processing Mandatory   1

1 . Basic course in signal processing is needed

Tietoa esitietovaatimuksista
Basic skills in digital signal processing and in using Matlab are required.


Opintojakso Vastaa opintojaksoa  Selite 
BMT-52606 Processing of Biosignals, 5 cr SGN-52606 Processing of Biosignals, 5 cr  

Päivittäjä: Pietilä Julia, 16.01.2019