Neuroengineering

Code:

M.BIO013

Acronym:

NEURO

Keywords
Classification	Keyword
OFICIAL	Biomedical Engineering

Instance: 2022/2023 - 2S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Bioengineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M.BIO	18	Syllabus	1	-	6	39	162
MEB	10	Syllabus	1	-	6	39	162

Teaching language

Suitable for English-speaking students

Objectives

Learning outcomes and competences

This UC intends to contribute to the development of competencies related to different neuroengineering aspects, namely of the used equipments and the analysis methodologies for biosignals of the nervous systems and of the neuroimage, as weel as the ones for neuro-stimulation.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Matlab/Octave - advanced level
Digital Signal (and imaging) Processing - advanced level

Program

1. Background and history of neuro-engineering

2. Introduction to the central nervous system
Neurophysiology of the CNS
Neurons; synapses; neuro-networks and brain.

3. Neural signals generation processes

4. Brain imaging acquisition systems
Electroencephalograph
Neuro-sensors and electrodes
Neuroimaging systems: CT, MRI, fMRI, PET/SPECT

5. Computational analysis methods of neuro-signals and neuro-images
Brain Mapping
Signal processing EEG and ECoG
Segmentation of brain structures
Multimodal data fusion
Mapping morpho-functional
Statistical analysis of brain imaging

6. Neuronal modulation
Principles of neurostimulation
Electrical stimulation of the cortex and magnetic trans-cranial
Neuro-prostheses
Examples of neurostimulators

7. Mini-project in neuro-engineering

Visits to BRAINlab-INESC TEC and to a neuroimaging center

Mandatory literature

Arthur Toga; Brain Warping, Academic Press. ISBN: 0126925356
Kamel, N & Malik A; EEG/ERP Analysis: Methods and Applications, CRC Press. ISBN: 1482224690

Teaching methods and learning activities

Theoretical concepts presentations, theoretical-practical work and development of a small project.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	45,00
Participação presencial	5,00
Trabalho prático ou de projeto	50,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Elaboração de projeto	58,00
Estudo autónomo	16,00
Frequência das aulas	52,00
Trabalho laboratorial	20,00
Trabalho escrito	16,00
Total:	162,00

Eligibility for exams

Evaluation components have a minimal grade of 7/20

Calculation formula of final grade

Evaluation: 0.05P + 0.5Proj + 0.45Ex

P - in-class presence
proj- project
Ex- exam

Observations

Max course size 20 students.