Course Catalog 2012-2013
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2012-2013

BME-2626 Processing of Physiological Signals, 5 cr

Person responsible

Ilkka Korhonen

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
Excercises
Assignment



 



 
 2 h/week
 6 h/per
 20 h/per
+2 h/week
+6 h/per
+20 h/per



 
BME-2626 2012-01 Monday 14 - 16, TC163

Requirements

Accepted computer assignments and final exam.
Completion parts must belong to the same implementation

Learning outcomes

Student understands and can describe characteristics of most common physiological signals. Student can describe and apply common signal processing, signal analysis, and signal interpretation methods in today's health care and wellness applications. Student can practice the processing and analysis of common physiological signals with Matlab.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Types and origins of physiological signals, and their basic properties. Basics of data acquisition, sampling, and filtering.   Basic digital filter design.  Insights in physiological signal generators. 
2. Basics of signal analysis. Artifact types. Adaptive FIR filtering as artifact rejection method. Basics of spectral and time-frequency analysis.  Basics of wavelet transform. Practical understanding of time-frequency analysis.   Time-frequency distributions. 
3. Event detection, feature extraction, signal classification.  Performance estimation.  Nonlinear dynamics. 
4. Computer exercises with Matlab and demonstrations: basic signal processing with Matlab.   Knowledge of several functions in Matlab signal processing toolbox.  Efficient vectorized Matlab signal processing programming.  

Evaluation criteria for the course

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. Grades 1-2: Learning outcomes have been achieved. Satisfactory command in core content of the course. Grades 3-4: Some learning outcomes have been exceeded qualitatively or quantitatively. Good command in core content and complementary knowledge of the course. Good or very good marks from all parts of the course. Grade 5: Most of the learning outcomes have been exceeded. Deep command in the whole content of the course. Almost maximum performance in all parts of the course.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Lecture slides                English  

Prerequisites

Course Mandatory/Advisable Description
SGN-1158 Introduction to Signal Processing, short version Advisable    
SGN-1201 Signaalinkäsittelyn menetelmät Advisable    

Additional information about prerequisites
Basic skills in digital signal processing and in using Matlab are required.

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
BME-2626 Processing of Physiological Signals, 5 cr SGN-52606 Processing of Biosignals, 5 cr  
BME-2626 Processing of Physiological Signals, 5 cr LTT-4106 Processing of Physiological Signals, 5 cr  

More precise information per implementation

Implementation Description Methods of instruction Implementation
BME-2626 2012-01   Lectures
Excercises
   
Contact teaching: 0 %
Distance learning: 0 %
Self-directed learning: 0 %  

Last modified09.02.2012