Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
2020/2021
Belonging course: 
Course of Bachelor's Degree Programme on COMPUTER SCIENCE, BIOMEDICAL AND TELECOMMUNICATIONS ENGINEERING
Location: 
Napoli
Disciplinary sector: 
ELECTRONIC AND INFORMATICS BIOENGINEERING (ING-INF/06)
Credits: 
3
Year of study: 
3
Teachers: 
Cycle: 
Second semester
Hours of front activity: 
24

Language

Lectures in Italian

Course description

The main goal of the course is to provide students with the basic concepts related to metrology, measurement methodologies and architecture of the main digital measuring instruments, so that they can be able to make design choices and performance evaluations in this context.
The course also aims to put students in condition of using measurement instruments in the lab with a good degree of autonomy.

Dublin descriptors
Knowledge and understanding
Basic knowledge of the laws on measurement uncertainty.
Knowledge of the general criteria of measurement and evaluation of uncertainty and for designing measurement systems operating on communication and biomedical signals.

Applying knowledge and understanding
Ability to integrate knowledge in the field of electronic measurements, circuit theory and signal theory.
Ability to apply the criteria for the selection and use of instrumentation for measurements in time, amplitude and frequency domains.

Making judgments
Ability to review and design methods and measurement instruments, depending on target uncertainty and budget.
Ability to process critical data and results.

Communication skills
Ability to communicate the design characteristics and the principles of operation of the main instruments for measurements in the time, amplitude and frequency domains.

Learning skills
Ability to develop, outline, summarize the contents acquired.
Be able to undertake further studies on complex measurement systems on non stationary signals, including automated measurement systems.

Prerequisites

Electrical circuits, Electronics, Signal Theory, Linear Systems (suggested).

Syllabus

Cell electrical activity (6 hours)
Biopotentials.
Cellular channesl.
Na-K pump.
Resting state potential.
Nerst Equation.
Goldman – Hodgkin – Katz Equation.
Action potential.
Volume conduction.
Central Nervous System organization (4 hours).
Reflex arc
Elettroneurogram (ENG).
Elettromiogram (EMG).
Elettrocardiogram (ECG) (6 hours).
Einthoven triangle.
Frank thorax electrical model.
Vectocardiogram.
P, Q, R, S, T waves.
QRS detection.
Pan Tompkins algorithm.
Heart rate variability (HRV).
Visual system (4 hours).
Eye anatomy.
Retina.
Brightness perception.
Colors perception.
Elettroretinogram (ERG).
ERG waves.
ERG components.
ERG influencing factors.
Elettrooculogram (EOG).
Central Nervous System (4 hours).
Neurons.
Elettroencefalogram (EEG).
Magnetoencefalogram (MEG).
Brain frequency bands.

Biopotentials and related measurements (3 CFU)
The course includes laboratory activities related to the topics above.

Teaching Methods

The course is divided into frontal lessons and laboratory lessons

Textbooks

1) J. G. Webster, "Medical Instrumentation", Fourth Edition, Wiley.
2) Teacher’s notes available on the course website (www.edi.uniparthenope.it)

Learning assessment

The examination aims at verifying the achievement of the previously stated educational targets. The examination consists in an oral exam for evaluating the student ability in linking an analyzing the different topics studied during the course; the minimal score to pass the test is 18 of 30.

The final grade is a weighted mean of the scores of modules A and B. In case one of the two tests is unsatisfactory or the global grade is below 18, the student has to repeat the two tests.

More information

The slides of the lessons are available at the course page on edi.uniparthenope web site.

The office hour is scheduled on Mondays at 5.00 pm.