PROCESSING OF BIOLOGICAL SIGNALS
Stampa
Enrollment year
2015/2016
Academic year
2017/2018
Regulations
DM270
Academic discipline
ING-INF/06 (ELECTRONIC AND INFORMATION BIOENGINEERING)
Department
DEPARTMENT OF PUBLIC HEALTH, NEUROSCIENCE, EXPERIMENTAL AND FORENSIC MEDICINE
Course
SPORT AND EXERCISE SCIENCES
Curriculum
ATTIVITÀ MOTORIA PREVENTIVA E ADATTATA (SEDE DI PAVIA)
Year of study
Period
(02/10/2017 - 01/06/2018)
ECTS
6
Lesson hours
48 lesson hours
Language
Italian
Activity type
ORAL TEST
Teacher
BUIZZA ANGELO (titolare) - 3 ECTS
MAGENES GIOVANNI - 3 ECTS
Prerequisites
=
Learning outcomes
PROCESSING OF BIOLOGICAL SIGNALS

PART I (Prof. Giovanni Magenes)
The objective of this part of the course is to present the fundamental methods for biomedical signal acquisition and processing. Students should acquire the main principles of biosignal generation models, their characteristics, and the main basic signal processing methods. The general operating principles of systems for the acquisition and processing of biomedical signals will also be explained, together with the fundamentals of frequency-domain analysis, and the relations between continuous-time and discrete-time signals. Examples of processing of the main biomedical signals will be provided as well.

PART II (Prof. Angelo Buizza)
This part of the course aims at introducing some examples of biological control systems and to interpret and explain them in the framework of the control systems theory.
The students should acquire, although at a qualitative level, the principles of system representation by block diagrams and input-output relationships, the principles of closed loop control, and should be able to apply those principles to the interpretation of simple biological controls.
Course contents
PROCESSING OF BIOLOGICAL SIGNALS

PART I (Prof. Giovanni Magenes)
Biosignals: origin and classification of biological signals; biosignal acquisition, conditioning and related problems.
Review of Maths fundamentals: vector algebra; trigonometric functions; functions and representations in the Cartesian plane.
Measure, estimate and regression: instrument calibration; resolution, accuracy, precision; linear regression, least squares method; SI units of measure; kinematics and dynamics quantities.
Introduction to signal processing: continuous-time signals, periodic and transient signals, discrete-time signals; frequency response; signal sampling and sampling theorem; A/D conversion and quantization; sampling frequency and aliasing phenomenon; general architecture of a signal-processing system.
Signal processing examples: event detection in signals; electrocardiography; evoked potentials; electromyography.

PART II (Prof. Angelo Buizza)
Definition of system, its representation and classification. Input-output relationships. Dynamical system representation in time and frequency domains.
Control problem. Open- and closed-loop control. General structure of feedback control system.
Biological control systems case studies: stretch reflex; pupillary reflex; visuo-motor control; vestibulo-ocular reflex, optokinetic reflex, and visuo-vestibular interaction; posture control; examples of homeostatic (arterial pressure) and metabolic (glucose-insulin) controls.
Teaching methods
PROCESSING OF BIOLOGICAL SIGNALS

PART I (Prof. Giovanni Magenes)
Lectures, 24 hours. Language: Italian

PART II (Prof. Angelo Buizza)
Lectures, 24 hours. Language: Italian
Reccomended or required readings
PROCESSING OF BIOLOGICAL SIGNALS

Lecture notes by the teachers (in Italian), made available through the Kiro website: http://elearning3.unipv.it/medicina/course/index.php?categoryid=14
Assessment methods
PROCESSING OF BIOLOGICAL SIGNALS

Written examination for both part I (prof. Magenes) and part II (prof. Buizza).
Further information
PROCESSING OF BIOLOGICAL SIGNALS

Written examination for both part I (prof. Magenes) and part II (prof. Buizza).
Sustainable development goals - Agenda 2030