Biosignal Processing 521273S (Biosignaalien käsittely)

The more detailed description of the course is here (in Finnish).

Content 2011:

Credit points: 5. The course presents some of the typical biosignals and the signal processing methods that are generally used in biosignal processing. The application of signal processing methods to biosignals is illustrated in the lectures by versatile examples and case studies. The methods presented in the lectures are applied in guided laboratory exercises.

Lectures:

5 lecture times, 2 hours per lecture.

Lectures are on Thursdays. Dates: 13.10-10.11. Time: 12-14. Lecture room: TS126.

· 13.10 Lecture 1: Introduction

· FRI 21.10, Time 9-11, room TS127. Lecture 2: Biosignal filtering

· 27.10 Lecture 3: Spectral analysis

· 03.11 Lecture 4: Event detection

· 10.11 Lecture 5: Segmentation and characterization

Note, that case studies and examples presented by researchers are not exam material and thus presented slides are not given.

Laboratory Exercises:

5 laboratory exercises are conducted on weeks 43-47 (Exercise 1 is conducted on week 43, Exercise 2 on 44 and so on). You can perform the exercises either beforehand at home or at pc-class at scheduled laboratory hours when assistants are available. To pass the exercise a student must present correct results and codes to assistants and get approval. The due time of each week’s exercise is Friday 12 o’clock. Assistants are available 4 hours per week on laboratory hours. Assistants do not have other regular meeting times.

The exercises are performed using Matlab and basic knowledge of Matlab is required. If you have not used Matlab before you must study the basic use of Matlab by yourself and before the first exercise. You can familiarize yourself with Matlab for example in the following link: http://www.mathworks.com/academia/student_center/tutorials/launchpad.html (Getting started videos and Interactive MATLAB tutorial).

Laboratory hours: On weeks 43-47: Monday 14-16 and Friday 10-12. Exception on Friday 25.11. Time: 9-11. Room: TS 135. Note, that there is maximum of 4 guided hours per exercise so start the exercise early enough to finish it on time.

Exercises are published on this page a week before (previous Monday).

· Week 43:

· Week 44:

· Week 45:

· Week 46:

· Week 47:

Exam:

On Friday 2.12. Note, that case studies and examples presented by researchers are not exam material!

Contacts:

· Lectures:

Prof. Tapio Seppänen, Department of Computer Science and Engineering, TS309, e-mail: firstname.surname@ee.oulu.fi

· Laboratory exercises:

Tiina Seppänen, Department of Computer Science and Engineering, TS345, e-mail: firstname.surname @ee.oulu.fi (Exercises 1, 4)

Suvi Tiinanen, Department of Computer Science and Engineering, TS345, e-mail: firstname.surname @ee.oulu.fi (Exercise 3)

Jukka Kortelainen, Department of Computer Science and Engineering, TS381, e-mail: firstname.surname @ee.oulu.fi (Exercise 2, 5)