The course Information processing systems aims to integrate with new "objective" and "quantitative" information the notions from other courses on subjects related to the sciences of human behavior, the pathophysiology of motor function and disability.
- Acquisition of basic skills concerning methods and techniques for movement analysis.
- Understanding of physiological processes and operating principles underlying instrumentation for the analysis of myoelectric signal, postural control, motor performance, brain activation.
- Ability to work in a team and apply knowledge to solve problems, also using tools for searching scientific articles in international literature and spreadsheets.
Frontal lessons, also using methodologies for Teaching Innovation: Problem-Based Learning and Team-Based Learning.
The course will address methodologies and evaluation techniques, with emphasis on the mechanisms involved in the voluntary movement and in locomotion. Specifically, the following topics will be covered: electromyography, posturography, baropodometry, kinematic motion capture analysis systems, innovative tools for quantitative assessment of motor performance, functional magnetic resonance imaging with dedication to the motor functions, functional near-infrared spectroscopy for the study of cortical activation during movements, instruments for scientific research, tools for signal display and processing.
Slides shown during the lectures and other material, including research articles
Ricevimento: The teacher receives by appointment, taken with a request by e-mail: laura.bonzano@unige.it
LAURA BONZANO (President)
AMBRA BISIO
CHRISTIAN CORDANO
MATTEO PARDINI
ANTONELLA SBRAGI
DANIELE SAVERINO (President and Coordinator of Integrated Course)
1st SEMESTER
INFORMATION PROCESSING SYSTEMS
Written test (16 multiple choice questions to be solved in 16 minutes)
The written exam (multiple choice quiz) will focus on the topics covered during the lessons and will aim to evaluate not only the achievement of an adequate level of basic knowledge, but also the acquisition of the ability to critically analyze the questions that will be asked.
The knowledge of the basic principles, applications and possible problems of the technologies presented during the lessons will be evaluated.
The following elements will contribute to the final graduation mark (out of 30, cum laude):
- knowledge of the physiological and operating principles, using the appropriate terminology, related to the methodology and instrumentation for the analysis of the myoelectric signal, postural control, motor performance, and brain activation
- ability to work in a team and apply knowledge to solve problems, also using tools for searching scientific articles in international literature and spreadsheets.
In case of certification of specific learning difficulties (SLD), disability or other special educational needs, please contact both the Department contact person, Prof. Nicola Girtler, and the lecturer at the beginning of the lectures to agree on teaching and exam methods which, in compliance of the teaching objectives, take into account individual learning methods and provide suitable compensatory/dispensatory tools recognized by the University Office of Students with Disabilities and SLD
