English

Every spring semester

The aim of this course is to give a broad overview of neural engineering concepts and principles for recording outgoing (efferent) and generating ingoing (afferent) neural signals. These concepts form the basis for neural interfaces or human-machine interfaces. This area is interdisciplinary and encompasses the fields of neuroscience, physiology, signalprocessing, machine learning and robotics. The course will give insights into existing and future neural interfaces, neural prostheses and neurorobotics.

The course will introduce principles and technologies of neuroengineering applications including basic human neurophysiology and -anatomy, brain stimulator, spinal cord stimulation, functional electrical stimulation (FES), neural-machine interface for motor prosthesis control, artificial visual and auditory devices for augmented sensory perception

be familiar with the basic anatomy and physiology of the human central and peripheral nervous system
understand how motor commands translates into muscle actions
understand how sensation translates into perceptions
understand and be able to describe basic principles behind human-machine interfac

be able to use techniques for electroencephalography recordnings
be able to use techniques for electromyography recordings
be able to use techniques for nerve stimulation
be able to apply neural engineering in different contexts
be able to describe human-machine interfaces for the spinal cord, peripheral nerves and muscles

be able to analyse, evaluate and implement human-machine interfaces
be able to interpret and discuss informaiton from scientific literature regarding neruoengineering advances
be able to reflect over the ethical consequences of neuroengineering

Lectures

Laboratory exercises

Exercises

Project

Written exam

ing (eng) Completed laboratory work with approved laboratory report and approved assignments, approved project report and presentation.

Failed, pass

Mathematics, Physics and Physiology (eg. EXTG50).

 

Lecturepresentations och labmanuals. Journal articles and book chapters (online resources)

Expert guest lecturers from other faculties or other universities may appear. With less than 12 participants, the course may be given with reduced teaching and more self studies.

BMEN30F

2022-03-24

Professor Thomas Johansson