First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
ICT FOR INTERNET AND MULTIMEDIA
Course unit
NEUROREHABILITATION AND BRAIN COMPUTER INTERFACES
INP7081337, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course Second cycle degree in
ICT FOR INTERNET AND MULTIMEDIA
IN2371, Degree course structure A.Y. 2017/18, A.Y. 2018/19
N0
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Degree course track ICT FOR LIFE AND HEALTH [004PD]
Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination NEUROREHABILITATION AND BRAIN COMPUTER INTERFACES
Department of reference Department of Information Engineering
E-Learning website https://elearning.dei.unipd.it/course/view.php?idnumber=2018-IN2371-004PD-2018-INP7081337-N0
Mandatory attendance No
Language of instruction English
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
No lecturer assigned to this course unit

Mutuated
Course unit code Course unit name Teacher in charge Degree course code
INP7081337 NEUROREHABILITATION AND BRAIN COMPUTER INTERFACES -- IN2371

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines ING-INF/06 Electronic and Information Bioengineering 6.0

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 25/02/2019
End of activities 14/06/2019

Examination board
Board From To Members of the board
1 A.A. 2017/2018 25/06/2018 15/03/2019 ZORZI MICHELE (Presidente)
BIRBAUMER NIELS PETER (Membro Effettivo)
BADIA LEONARDO (Supplente)
ERSEGHE TOMASO (Supplente)
TOMASIN STEFANO (Supplente)
ZANELLA ANDREA (Supplente)

Syllabus
Prerequisites: The course requires some basic understanding of the neural system and medical instrumentation for diagnosis and assessment of neurological phenomena. However, each unit of lectures will start with a recap of these fundamentals. Moreover, some prior experience is required (from other courses or internships) about system modeling and evaluation, as well as familiarity with elementary software tools.
Target skills and knowledge: Knowledge on theoretical fundamentals and practical aspects related to
the most common neurological dysfunctions.
Knowledge on neurological rehabilitation techniques, and possible
interactions with brain computer interface technologies.
Skills to plan detection, prevention, and counteraction of
degenerative/sudden/chronic neurological impairments through the
aforementioned techniques.
Examination methods: The exam is performed as a project report. Half-way through the
course, students are required to pick a topic of their choice for this
project, related to the treatment of a neurological disorder and
possible ways of applying information technologies such as brain
computer interfaces to it. They will be given an internal deadline to
finalize this choice and by the end of the course they must submit
their project within few weeks - the deadline for the final submission
is given as the exam date. The project must detail possible
applications of techniques learned during the course and also hint at
some practical evaluation to assess their effectiveness.

NOTE: since the lecturer is a visiting professor specifically hired
for teaching this subject, attendance to the lectures is highly
recommended, as interaction with the lecturer is only possible during
the lecturer's stay. Non-attending students should contact the
Teaching Committee of the Degree to define, if possible, a research
project they can pursue on their own, in agreement with the lecturer.
Assessment criteria: The final project report will be evaluated based on the following criteria:
- originality of the proposed topic and suggested methodology
- technical correctness in the development of concepts and techniques
learned throughout the course
- soundness of the proposed testing and validation methodologies
- overall presentation and depth of elaboration of the concepts
Course unit contents: Foundations of Neurophysiology: Clinical neurophysiology of movement
control in healthy subject and/or with specific diseases.
Neuromuscular control, reflexes, posture and balance, sensorimotor
systems.

Functional Neuroscience: Synaptic physiology and plasticity,
functional organisation of brain areas, new treatments in recovery of
neural function, physiological basis of behaviour, development and
aging, sensation and perception (e.g. vision and hearing) and
cognitive brain functions.

Brain Computer Interfaces in Movement disorders, stroke and ALS.
Neurofeedback in neuropsychiatric and psychological disorders.
"Neuroenhancement". Brain Communication with Brain Computer
Interfaces, Locked-in states, disorders of consciousness and BCI,
Ethical issues and end of life decisions in BCI clinical research.
Learning Psychology and Brain science applications such a brain
computer interfaces.
Planned learning activities and teaching methods: The lectures involve the use of transparencies and videos of experiments in a multimedia classroom. Guided experiences will also be given in computer laboratories. The development of the project is itself part of the learning process since the beginning, as the students will be encouraged to autonomously identify open problems and research perspectives of their interest.

NOTE: since the lecturer is a visiting professor specifically hired
for teaching this subject, attendance to the lectures is highly
recommended, as interaction with the lecturer is only possible during
the lecturer's stay. Non-attending students should contact the
Teaching Committee of the Degree to define, if possible, a research
project they can pursue on their own, in agreement with the lecturer.
Additional notes about suggested reading: The lecturer will provide all the material and texts required for the
course, consisting of reference scientific articles, reports, and
papers. Students are encouraged, depending on the topic of choice for
their exam project report, to integrate those with further material of
their own finding, in agreement with the lecturer.
Textbooks (and optional supplementary readings)
  • Leo P. Ligthart, Ramjee Prasad, Silvano Pupolin (editors), Neuro-Rehabilitation with Brain Interface. --: River publishing, 2015.
  • Magdalena Fafrowicz, Tadeusz Marek, Waldemar Karwowski, Dylan Schmorrow (editors), Neuroadaptive Systems: Theory and Applications. --: CRC press, 2013.
  • Richard J. Greenwood, Thomas M. McMillan, Michael P. Barnes, Michael P Barnes, Christopher D. Ward (, Handbook of Neurological Rehabilitation. --: Psychological press, 2005.

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Working in group
  • Problem solving
  • Use of online videos
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • Matlab

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