Subject: Fundamentals of Neural Prosthesis (12 - BMI114)


Basic Information

CategoryScientific-professional
Scientific or art field:Automatic Control and System Engineering
InterdisciplinaryNo
ECTS5
Course specification

Course is active from 08.10.2012..

Students learn about modern technologies and development trends in the field of neural prostheses.
The acquired knowledge is used in solving practical engineering problems in the field of neural prostheses.
The basic operating principles of neural prosthses. Neural prosthesis as a functional replacement for natural biological systems. Neural prosthetic system design. The effects of electromagnetic fields on the sensory-motor mechanisms. Therapeutic effects of electrical and magnetic stimulation. Design of electronic neuromuscular stimulators. Functional electrical stimulation (FES). Pacemakers and defibrillators. Phrenic nerve pacing. Motor prosthetics for control of movement (restitution of grasping, standing and walking). Sensory function restitution-sensory prosthetics (auditory prosthetics – cochlear implants, visual prosthetics). Bladder control implants. Prosthetics for pain relief. Muscle exercises.
Lectures. Computer practice. Laboratory practice. Consultations.
AuthorsNameYearPublisherLanguage
Popović D, Sinkjær T.Control of movement for physically disabled2000Springer-Verlag, LondonEnglish
Warren E. Finn, Peter G. LoPrestiHandbook of Neuroprosthetic Methods2003CRC Press, Boca Raton, FLEnglish
Daniel J. DiLorenzo, Joseph D, BronzinoNeuroengineering2008CRC Press, Taylor & Francis GroupEnglish
Course activity Pre-examination ObligationsNumber of points
ProjectYesYes30.00
TestYesYes10.00
TestYesYes10.00
Theoretical part of the examNoYes50.00
Name and surnameForm of classes
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Jorgovanović Nikola
Full Professor

Lectures
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Bojanić Dubravka
Associate Professor

Lectures
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Popov Nikola

Laboratory classes
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Vukmirović Srđan
Associate Professor

Laboratory classes
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Đozić Damir

Laboratory classes
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Đozić Damir

Computational classes
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Krajoski Goran

Computational classes
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Popov Nikola

Computational classes