EXERCISE EVALUATION
Stampa
Enrollment year
2019/2020
Academic year
2020/2021
Regulations
DM270
Academic discipline
ING-INF/06 (ELECTRONIC AND INFORMATION BIOENGINEERING)
Department
DEPARTMENT OF PUBLIC HEALTH, NEUROSCIENCE, EXPERIMENTAL AND FORENSIC MEDICINE
Course
SCIENCE AND TECHNIQUE OF ADAPTED AND PREVENTIVE MOTOR ACTIVITY
Curriculum
PERCORSO COMUNE
Year of study
Period
1st semester (28/09/2020 - 26/01/2021)
ECTS
3
Lesson hours
24 lesson hours
Language
Italian
Activity type
WRITTEN TEST
Teacher
SCHMID MICAELA (titolare) - 3 ECTS
Prerequisites
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Learning outcomes
The course aims at introducing the principles of quantitative approach to human movement by its measurement and consequent assessment. Different contexts where movement measurement can be used (rehabilitation, geriatrics, ergonomics, sport, etc.) will be considered.
Course contents
Definition of measurement and assessment and their purpose.
Qualitative scales: general features; different types of scales; introducing a few interesting scales for movement and autonomy in ADL assessment.
Objective measurement: principles, units and the International System; measurement error and its propagation. Measurement chain and its static and dynamic characterization. Analog-to-Digital conversion and computer data acquisition.
Principles of kinematic measurements by means of sensors applied to the body (accelerometers, inclinometers, etc.) and by stereophotogrammetry.
Kinetic measurements; static and dynamic posturography. Principles of reconstruction of body movement, forces and joint torque from kinetic measurements.
Energetics of body movement: work, energy, power, efficiency. Energy sources for muscle work and their properties. Energetics of walk and run.
Teaching methods
Lectures, 24 h. Language: Italian
Reccomended or required readings
Lecture notes by the teacher (in Italian), made available through the website http://elearning3.unipv.it/medicina/course/index.php?categoryid=13
Assessment methods
Written examination.
Further information
Written examination.
Sustainable development goals - Agenda 2030