Bioingenieria del movimento

A.Y. 2025/2026
4
Max ECTS
45
Overall hours
SSD
ING-INF/06 MED/01 MED/48
Language
Italian
Learning objectives
- To understand the principles of bioengineering, the structure and the functioning of devices used for diagnosis and rehabilitation
- To understand the methodologies and aids for neurosensorial and motor dysfunctions.
Expected learning outcomes
To define the technologies used to build medical devices used for diagnosis and rehabilitation
To list their characteristics, describing similarities and differences, the advantages and any existing risks.
To describe and manage bioengineering methods and approaches. To solve simple mathematical problems.
To describe the functioning of the neurosensory and motor systems and to know technologies and devices available to assist and restore possible physiological dysfunctions
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Sezione: Bosisio Parini

Responsible
Prerequisites for admission
Basic knowledge of mathematics and physics.
Knowledge of the basics of medical statistics, learned during the first year of the course.
Assessment methods and Criteria
Written exam with open questions, multiple choice questions and exercises with the possibility of taking a subsequent oral exam. The use of the calculator is allowed.
There are ongoing tests with questions of different types (closed, open, semi-closed, exercises).
The evaluation is expressed in thirtieths.
The results are communicated via the Ariel website of the course.
Bioingenieria elettronica e informatica
Course syllabus
- Movement analysis
- Kinematics and systems for kinematic analysis (optical and non-optical systems)
- Dynamics
- Posturography;
- Metabolic consumption
- Electromyography
- protocols for Movement analysis (gait analysis, upper limb motion, optoelectronic plethysmography);
- Diagnostic evaluation and equipment for diagnostic imaging:
- Radiography;
- Computerized Tomography;
- Nuclear Medicine;
- Magnetic resonance imaging;
- Ultrasound;
- Medical devices, regulations and safety:
- Definitions and classification;
- Regulations and CE certification;
- Electrical risk;
- Fundamentals of biomedical signal analysis:
- Signal acquisition and pre-processing system;
- Filtering;
- Analysis in the domain of time and frequency;
- Electroencephalography;
- fNIRS: near infrared functional spectroscopy
- Robotic devices for rehabilitation;
- Virtual Reality in rehabilitation
- Biomechanical models;
- Control models
- Prostheses and orthoses
- 3D printing for orthoses
Teaching methods
- Frontal lessons with the support of Power Point slides, provided to students by an USB drive and / or deposited on the Ariel website.
- Exercises
- Visit to the high-tech laboratories (AstroLab).
Teaching Resources
Professor's slides.
Statistica medica
Course syllabus
Part one. Introduction to statistical inference.
- The logic of statistical inference
- Basics of the Gaussian model and confidence intervals
- Concept of hypothesis testing and the most frequently used statistical tests in the rehabilitation field
Part two. How to conduct a scientific study
- The study protocol for scientific research
- Types of scientific studies and the most appropriate statistical approaches for various clinical questions
- How to interpret and comment (clinically) on the results obtained from a study
Teaching methods
Lectures and guided exercises in the classroom
Teaching Resources
W. Daniel Biostatistica. Concetti di base per l'analisi statistica delle scienze dell'area medico-sanitaria. Edises. 2019
M. Pagano K. Gauvreau Biostatistica. Idelson-Gnocchi 2003
Scienze infermieristiche e tecniche neuropsichiatriche e riabilitative
Course syllabus
- Assistive aid for PC use:
o For typing (special keyboards, keyboard emulators ...)
o For navigation (mouse emulators: trackball, joystick ...)
o For scan access (sensors, adapters, supports ..)
- Communication aids:
o Vocas
o Communication software
o Dynamic communicators
o Alphabetic communicators
- Aids for environmental control:
o Devices for individual, non-home automation control (facilitated remote controls)
- Game aids:
o Devices and adaptations to facilitate access to games
- Tablet and new opportunities
- Methods of delivery of aids:
o Tariff Nomenclator
o Regional contributions
o Tax breaks
Teaching methods
- Frontal lessons with the support of Power Point slides, provided to students by an USB drive.
- Visit to the Aid Center with an overview of the main aids presented and, in particular, those for symbolic communication.
Teaching Resources
Professor's slides.
Manuale degli ausili elettronici ed informatici. Tecnologie assistive a supporto della qualità della vita.   2016
a cura di C. Bitelli , M. Guerreschi, A. Rossi 
Modules or teaching units
Bioingenieria elettronica e informatica
ING-INF/06 - ELECTRONIC AND INFORMATICS BIOENGINEERING - University credits: 2
Practicals: 15 hours
Lessons: 10 hours

Scienze infermieristiche e tecniche neuropsichiatriche e riabilitative
MED/48 - NURSING IN NEUROPSYCHIATRY AND REHABILITATION - University credits: 1
Lessons: 10 hours
Professor: Croci Roberta

Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 1
Lessons: 10 hours
Professor: Casazza Giovanni

Sezione: Don Gnocchi

Responsible
Prerequisites for admission
Basic knowledge of mathematics and physics.
Knowledge of the basics of medical statistics, learned during the first year of the course.
Assessment methods and Criteria
Written exam with open questions, multiple choice questions and exercises with the possibility of taking a subsequent oral exam. The use of the calculator is allowed.
There are ongoing tests with questions of different types (closed, open, semi-closed, exercises).
The evaluation is expressed in thirtieths.
The results are communicated via the Ariel website of the course.
Bioingenieria elettronica e informatica
Course syllabus
Lectures:
1. Introduction to Bioengineering
2. Biomedical instrumentation: biological signals
2.1 Instrumentation for biological signals acquisition
2.2 Electrocardiogram
2.3 Electroencephalogram
3. Human movement analysis
3.1 Qualitative and quantitative analysis of human movement and posture
3.2 Instruments for the acquisition of kinematic, dynamic and electromyographic data
3.3 Modeling of the musculoskeletal system
3.4 Wearable systems
4. Functional Electrical Stimulation
4.1 Definition of FES. Main applications of FES in central nervous system lesions
4.2 Muscular contraction induced by FES. Muscular fatigue
4.3 FES systems for upper and lower limb.
5. Prostheses and aids
5.1 Assistive devices for visual impairments
5.2 Assistive devices for hearing impairments
5.3 Limb prostheses
5.4 Informatics aids and aids for communication

Practical sessions:
1) The movement analysis laboratory: instruments and methods
2) Functional Electrical Stimulation: stimulation devices and applications
Teaching methods
Lectures at the classroom of Don Carlo Gnocchi Foundation and experimental exercises at the laboratories of Polo Tecnologico, Don Carlo Gnocchi Foundation - Milan.
Teaching Resources
Professors' slides.
Reference books:
J.B. Webster - Strumentazione biomedica. Progetto ed applicazioni- Edises
R. Barbieri, G. Baselli, F. Grandori, A. Paglialonga - Bioengineering of Neurosensory Systems, Patron, 2023
J. Perry - Analisi del movimento, ed. it. a cura di M.G. Benedetti, Elsevier, 2005
Statistica medica
Course syllabus
Part one. Introduction to statistical inference.
- The logic of statistical inference
- Basics of the Gaussian model and confidence intervals
- Concept of hypothesis testing and the most frequently used statistical tests in the rehabilitation field
Part two. How to conduct a scientific study
- The study protocol for scientific research
- Types of scientific studies and the most appropriate statistical approaches for various clinical questions
- How to interpret and comment (clinically) on the results obtained from a study
Teaching methods
Lectures and guided exercises in the classroom
Teaching Resources
W. Daniel Biostatistica. Concetti di base per l'analisi statistica delle scienze dell'area medico-sanitaria. Edises. 2019
M. Pagano K. Gauvreau Biostatistica. Idelson-Gnocchi 2003
Scienze infermieristiche e tecniche neuropsichiatriche e riabilitative
Course syllabus
- Assistive aid for PC use:
o For typing (special keyboards, keyboard emulators ...)
o For navigation (mouse emulators: trackball, joystick ...)
o For scan access (sensors, adapters, supports ..)
- Communication aids:
o Vocas
o Communication software
o Dynamic communicators
o Alphabetic communicators
- Aids for environmental control:
o Devices for individual, non-home automation control (facilitated remote controls)
- Game aids:
o Devices and adaptations to facilitate access to games
- Tablet and new opportunities
- Methods of delivery of aids:
o Tariff Nomenclator
o Regional contributions
o Tax breaks
Teaching methods
- Frontal lessons with the support of Power Point slides, provided to students by an USB drive.
- Visit to the Aid Center with an overview of the main aids presented and, in particular, those for symbolic communication.
Teaching Resources
Professor's slides.
Manuale degli ausili elettronici ed informatici. Tecnologie assistive a supporto della qualità della vita.   2016
a cura di C. Bitelli , M. Guerreschi, A. Rossi 
Modules or teaching units
Bioingenieria elettronica e informatica
ING-INF/06 - ELECTRONIC AND INFORMATICS BIOENGINEERING - University credits: 2
Practicals: 15 hours
Lessons: 10 hours

Scienze infermieristiche e tecniche neuropsichiatriche e riabilitative
MED/48 - NURSING IN NEUROPSYCHIATRY AND REHABILITATION - University credits: 1
Lessons: 10 hours
Professor: Sormani Annalisa

Statistica medica
MED/01 - MEDICAL STATISTICS - University credits: 1
Lessons: 10 hours
Professor: Casazza Giovanni