Neuroengineering
Neuroteknik

BMEN30F, 7.5 credits

Valid from: Spring 2023
Decided by: Professor Thomas Johansson
Date of establishment: 2022-03-24

General Information

Division: Biomedical Engineering
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course code: BMEN30
Teaching language: English

Aim

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.

Goals

Knowledge and Understanding

For a passing grade the doctoral student must

• 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

Competences and Skills

For a passing grade the doctoral student must

• 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

Judgement and Approach

For a passing grade the doctoral student must

• 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

Course Contents

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

Course Literature

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

Instruction Details

Types of instruction: Lectures, laboratory exercises, exercises, project

Examination Details

Examination format: Written exam. ing (eng) Completed laboratory work with approved laboratory report and approved assignments, approved project report and presentation.
Grading scale: Failed, pass
Examiner:

Admission Details

Assumed prior knowledge: Mathematics, Physics and Physiology (eg. EXTG50).

Further Information

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.

Course Occasion Information

Contact and Other Information

Course coordinators:

• Christian Antfolk <christian.antfolk@bme.lth.se>
• Nebojsa Malesevic <nebojsa.malesevic@bme.lth.se>