Brasil

Dados da Disciplina

INSTITUTO DE ENSINO E PESQUISA ALBERTO SANTOS DUMONT
Neuroengenharia (33280010001P2)
INTERFACES CÉREBRO-MÁQUINA
ICM
001
4
23/09/2014 à -
Não
Introdução e história da interface cérebro-máquina (ICM) e suas derivações: interface cérebro-computador (ICC), interface homem-máquina (IHM), interface homem-computador (IHC), interface cérebro-neural-máquina (BNMI), e interface cérebro-máquina-cérebro (BMBI). Dispositivos mais utilizados para a aquisição de dados e suas diferenças. ICM restaurativa/assistiva. A disciplina tem como objetivo principal apresentar aos estudantes diversas técnicas de interface cérebro-máquina, mostrar a diferença entre elas e a aplicabilidade. Os alunos são estimulados a tirar suas próprias conclusões a respeito das técnicas e escolher a melhor delas para cada situação, bem como terão a oportunidade de fazer experimentos práticos. Conteúdo temático: i. Visão Geral da Neuroengenharia em Interfaces Cérebro-Máquina ii. Introdução e história das interfaces homem-máquina. iii. Tipos de dispositivos utilizados e diferenças tecnológicas, tipos de sinais e processamentos. - Eletroencefalograma (EEG) - Magnetoencefalograma (MEG) - Eletromiografia (EMG) - Eye-tracking - Ressonância magnética funcional (fMRI) - Espectroscopia de infravermelho próximo (NIRS) - Tomografia por emissão de positrões (PET) - Eletrocorticografia (ECoG) - Matrizes de eletrodos - Interfaces gráficas: Open Vibe, BCI 2000, Open BCI, EEG Lab, etc - P300 - Potencial evocado visual (PEV) - Potencial relacionado ao evento (PRE) - Spike, LFP e Filtro Wiener - Técnicas de estimulação motora: Estimulação elétrica funcional (FES), Estimulação da medula iv. Aplicações clínicas de dispositivos restaurativos e assistivos v. Desenvolvimento e futuro da interfaces homem-máquina e neuropróteses
- Walter Freeman (Author), Rodrigo Quian Quiroga. Imaging Brain Function With EEG: Advanced Temporal and Spatial Analysis of Electroencephalographic Signals, 2012. - Nidal Kamel (Editor), Aamir Saeed Malik (Editor). EEG/ERP Analysis: Methods and Applications, 2014. - Lebedev MA, Nicolelis MAL (2006) Brain machine interfaces: Past, present and future. Trends Neurosci.29:536-546. - Carmena JM, Lebedev MA, Crist RE, O'Doherty JE, Santucci DM, et al. (2003) Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates. PLoS Biol 1(2): e42. doi:10.1371/journal.pbio.0000042. - Birbaumer N and Cohen LG (2007) Brain-computer interfaces: communication and restoration of movement in paralysis. J Physiol 579:621–636. - Soekadar SR, Birbaumer N, Cohen LG (2011) Brain-Computer Interfaces in the Rehabilitation of Stroke and Neurotrauma. Systems Neuroscience and Re-habilitation 1:3-18. - Soekadar SR, Witkowski M, Mellinger J, Ramos A, Birbaumer N, Cohen LG (2011) ERD-based online brain-machine interfaces (BMI) in the context of neu-rorehabilitation: optimizing BMI learning and performance. IEEE Trans Neural Syst Rehabil Eng. 19:542-549. - Birbaumer N (2006) Breaking the silence: Brain-computer interfaces (BCI) for com-munication and motor control. Psychophysiology 43:517–532. - Soekadar S., Haagen K., Birbaumer N. (2008) Brain Computer Interfaces (BCI) : Restoration of movement and Thought from Neuroelectric and Metabolic Brain Activity, Coordination: Neural, Behavioral and Social Dynamics, Springer Berlin Heidelberg, chapter 11, p. 229-252. Bibliografia complementar: - Jonathan Wolpaw (Editor), Elizabeth Winter Wolpaw (Editor). Brain-Computer Interfaces: Principles and Practice, 2012. - Dornhege, Millán, Hinterberger , McFarland,Müller. Toward Brain-Computer Interfacing (Neural Information Processing series), 2007. - Bin He. Neural Engineering, 2013. - Farina, Dario; Jensen, Winnie. Introduction to Neural Engineering for Motor Rehabilitation, 2013. - Luck, S.J. An Introduction to the Event-Related Potential Technique, 2014. - Paul E. Holtzheimer (Editor), William McDonald. A Clinical Guide to Transcranial Magnetic Stimulation, 2014. - Lucia Alba-ferrara. Transcranial Magnetic Stimulation: Methods, Clinical Uses and Effects on the Brain (Neuroscience Research Progress), 2013. - Andres M. Lozano, Mark Hallett. Brain Stimulation, Volume 116: Handbook of Clinical Neurology, 2013. - Roi Cohen Kadosh. The Stimulated Brain: Cognitive Enhancement Using Non-Invasive Brain Stimulation, 2014. - Saltzman, W.M. Biomedical Engineering: Bridging Medicine and Technology,2009. - Brendan Z. Allison, Stephen Dunne, Robert Leeb and José Del R. Millán. Towards Practical Brain-Computer Interfaces: Bridging the Gap from Research to Real-World Applications, 2013. - Guger C., Allison B., Leuthardt E.C. Brain-Computer Interface Research: A State-of-the-Art Summary, 2013. - Roi Cohen Kadosh. The Stimulated Brain: Cognitive Enhancement Using Non-Invasive Brain Stimulation, 2014. - Thomas Jue (Editor), Kazumi Masuda (Editor). Application of Near Infrared Spectroscopy in Biomedicine, 2013. - Donald A. Burns (Editor), Emil W. Ciurczak (Editor). Handbook of Near-Infrared Analysis, Third Edition (Practical Spectroscopy), 2007. - Vincent Walsh, Alvaro Pascual-Leone. Transcranial Magnetic Stimulation: A Neurochronometrics of Mind, 2005. - Artemiadis, P. Neuro-Robotics: From Brain Machine Interfaces to Rehabilitation Robotics (Trends in Augmentation of Human Performance), 2014. - Cristina Morganti-Kossmann (Editor), Ramesh Raghupathi (Editor), Andrew Maas (Editor). Cambridge University Press; 1 edition. Traumatic Brain and Spinal Cord Injury: Challenges and Developments, 2012 - Jonathan Wolpaw (Editor), Elizabeth Winter Wolpaw (Editor). Brain-Computer Interfaces: Principles and Practice, 2012

Cursos

Neuroengenharia
Mestrado
60