DOCSLIB.ORG

Enhancing Selectivity of Minimally Invasive Peripheral Nerve Interfaces Using Combined Stimulation and High Frequency Block: from Design to Application

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Enhancing Selectivity of Minimally Invasive Peripheral Nerve Interfaces Using Combined Stimulation and High Frequency Block: from Design to Application Imperial College of Science, Technology and Medicine Department of Electrical and Electronic Engineering Enhancing Selectivity of Minimally Invasive Peripheral Nerve Interfaces using Combined Stimulation and High Frequency Block: from Design to Application Adrien Rapeaux Submitted in part fulfilment of the requirements for the degree of Doctor of Philosophy in Electrical and Electronic Engineering of Imperial College London, April 2020 Declaration of Originality This thesis represents my own work unless otherwise stated. Any text, figures, tables or other material that is not my own has been appropriately referenced. Any material that I have adapted for this work has been identified as such and where applicable the original source cited. i ii Copyright Declaration ‘The copyright of this thesis rests with the author. Unless otherwise indicated, its contents are licensed under a Creative Commons Attribution-NonCommercial 4.0 International Licence (CC BY-NC).Under this licence, you may copy and redis- tribute the material in any medium or format. You may also create and distribute modified versions of the work. This is on the condition that: you credit the author and do not use it, or any derivative works, for a commercial purpose.When reusing or sharing this work, ensure you make the licence terms clear to others by nam- ing the licence and linking to the licence text. Where a work has been adapted, you should indicate that the work has been changed and describe those changes. Please seek permission from the copyright holder for uses of this work that are not included in this licence or permitted under UK Copyright Law.’ iii iv Abstract The discovery of the excitable property of nerves was a fundamental step forward in our knowl- edge of the nervous system and our ability to interact with it. As the injection of charge into tissue can drive its artificial activation, devices have been conceived that can serve healthcare by substituting the input or output of the peripheral nervous system when damage or disease has rendered it inaccessible or its action pathological. Applications are far-ranging and trans- formational as can be attested by the success of neuroprosthetics such as the cochlear implant. However, the body’s immune response to invasive implants have prevented the use of more se- lective interfaces, leading to therapy side-effects and off-target activation. The inherent tradeoff between the selectivity and invasiveness of neural interfaces, and the consequences thereof, is still a defining problem for the field. More recently, continued research into how nervous tissue responds to stimulation has led to the discovery of High Frequency Alternating Current (HFAC) block as a stimulation method with inhibitory effects for nerve conduction. While leveraging the structure of the peripheral nervous system, this neuromodulation technique could be a key component in efforts to improve the selectivity-invasiveness tradeoff and provide more effective neuroprosthetic therapy while retaining the safety and reliability of minimally invasive neural interfaces. This thesis describes work investigating the use of HFAC block to improve the se- lectivity of peripheral nerve interfaces, towards applications such as bladder control or vagus nerve stimulation where selective peripheral nerve interfaces cannot be used, and yet there is an unmet need for more selectivity from stimulation-based therapy. An overview of the underlying neuroanatomy and electrophysiology of the peripheral nervous system combined with a review of existing electrode interfaces and electrochemistry will serve to inform the problem space. Original contributions are the design of a custom multi-channel stimulator able to combine conventional and high frequency stimulation, establishing a suitable experimental platform for ex-vivo electrophysiology of the rat sciatic nerve model for HFAC block, and exploratory ex- periments to determine the feasibility of using HFAC block in combination with conventional stimulation to enhance the selectivity of minimally-invasive peripheral nerve interfaces. v vi Acknowledgements I would like to express my most heartfelt thanks to: • My supervisor Dr. Timothy G. Constandinou, who gave me the freedom to pursue this somewhat unusual line of inquiry within an electronic engineering research group. His expertise in technical matters, pragmatic approach to research focusing on impact and follow-through, his enthusiasm for neuroscience and relentlessly positive outlook have enabled me to cross gaps and scale walls in my pursuit. I have been, am and continue to be honoured to work with him, and I look forward to future endeavours in the group. • Dr. Ian Williams of Imperial College, who was a first contact when meeting my current research group and has remained a close friend and knowledgeable expert throughout. Discussions with him over coffee have sparked many ideas, to solve existing problems or identify unexplored paths. • Dr. Lieuwe Leene, previously of Imperial College, now at Novelda AS. His intuitive understanding of complex circuits and vast engineering knowledge completely changed my understanding of the field and pushed me to look ‘outside of the box’. His good cheer and no-nonsense approach are sorely missed. • Dr. Jerry Hunsberger of Galvani Bioelectronics for his expertise on maintaining viability of tissues ex-vivo and knowledge of neurophysiology which was instrumental in the design of an adapted experimental platform in the laboratory at Imperial College. • The Biomaterials Research Group, Imperial College, comprising Dr. Rylie Green, Dr. Omaer Syed and Mz. Estelle Cuttaz for contributions to the ex-vivo experiments, es- pecially for giving me access to animal tissue using their license. Our partnership has yielded concrete and useful results and I hope for it to continue. • The NGNI research group: my colleagues, and dare I say my friends. They are part of what makes this such a good work environment: strong ethic, commitment to high quality output, and kindness. Their expertise and support is invaluable. vii • The CBIT or Center for Bioinspired Technology of Imperial College, a collection of amaz- ing individuals of varied background showing how diversity coupled with a sense of com- munity can be such a strong combination for science. • Last but not least, my family and friends, who’ve heard me complain more times than I can count and always encouraged me to keep going. I can’t thank them enough. viii Dedication I dedicate this thesis to my wife, who has been incredibly patient with me during the entire PhD period (5 years compared to the usual 3), and especially towards the end of the write-up period as we were both working from home due to the extraordinary circumstances in the UK and around the world. I cannot thank her enough for her support, and keeping me sane. ix x Contents Declaration of Originality i Copyright Declaration iii Abstract v Acknowledgements vii Dedication ix Table of Contents xi List of Figures xix List of Tables xxv Abbreviations xxvii 1 Introduction 2 2 Background 14 2.1 Foreword........................................ 14 xi 2.2 PeripheralNervousSystemCompartments . ....... 14 2.2.1 SomaticnervousSystem . 16 2.2.2 AutonomicNervousSystem . 18 2.2.3 EntericNervousSystem . 20 2.3 NerveMicrostructureandExcitability . ........ 21 2.3.1 Thevoltage-gatedionchannel . .... 21 2.3.2 Formalism for the peripheral nerve cable model . ........ 23 2.3.3 Nervemicrostructure . 26 2.3.4 Reversal of physiological recruitment order when usingelectrodes . 27 2.4 Peripheralnerveelectrodetypes . ........ 29 2.5 Electrochemical theory for stimulation electrodes . .............. 32 2.6 ElectrodeMaterials.............................. .... 34 2.7 Premise for selective stimulation using combined stimulationandblock . 35 2.7.1 Bladder control after Spinal Cord Injury as a clinical scenario that could benefit from enhanced cuff electrode selectivity. ..... 35 2.7.2 Simulation of combined block and stimulation for selective activation of smallfibersinacompoundnerve . 37 2.7.3 BlockthresholdsintheFHmodel . .. 39 2.7.4 Relationship between inter-electrode spacing and technique selectivity . 40 2.7.5 Compared performance of monopolar block and bipolar block ...... 41 2.7.6 Compatibility of the proposed technique with existing stimulation ther- apiesforbladdercontrol . 42 xii 2.8 Conclusion...................................... 44 3 A multi-channel, block capable, modular stimulator for acute neurophysiol- ogy experiments 64 3.1 Introduction.................................... .. 64 3.2 Stimulator topologies for control of injected charge . .............. 65 3.2.1 Current-controlledstimulators . ....... 66 3.2.2 Switchedcapacitorstimulators. ...... 67 3.3 ChargeBalance ................................... 68 3.3.1 Electrode polarisation and the water window . ........ 70 3.3.2 DCleakageincurrent-modestimulators . ...... 70 3.4 Compensation techniques for charge accumulation . ............ 71 3.4.1 PassivedischargeandDCfiltering. ..... 71 3.4.2 Activechargebalancing . 72 3.4.3 Ongoing research on charge balance for safe neural stimulation . 75 3.5 DesigningforHighFrequencyStimulation . ........ 77 3.6 Development paradigm: discrete vs integrated electronics............. 79 3.7 Embedded system design with electrically isolated modules............ 80 3.8 Address-event representation of stimulation commands . ............. 82 3.9 Stimulator integration into experimental platforms . ............... 83 3.10 HFAC-capable current source using discrete
Load more

Recommended publications
  • Acceptability Study of A3-K3 Robotic Architecture for a Neurorobotics Painting
    ORIGINAL RESEARCH published: 10 January 2019 doi: 10.3389/fnbot.2018.00081 Acceptability Study of A3-K3 Robotic Architecture for a Neurorobotics Painting Salvatore Tramonte 1*, Rosario Sorbello 1*, Christopher Guger 2 and Antonio Chella 1,3 1 RoboticsLab, Department of Industrial and Digital Innovation (DIID), Universitá di Palermo, Palermo, Italy, 2 G.tec Medical Engineering GmbH, Schiedlberg, Austria, 3 ICAR-CNR, Palermo, Italy In this paper, authors present a novel architecture for controlling an industrial robot via Brain Computer Interface. The robot used is a Series 2000 KR 210-2. The robotic arm was fitted with DI drawing devices that clamp, hold and manipulate various artistic media like brushes, pencils, pens. User selected a high-level task, for instance a shape or movement, using a human machine interface and the translation in robot movement was entirely demanded to the Robot Control Architecture defining a plan to accomplish user’s task. The architecture was composed by a Human Machine Interface based on P300 Brain Computer Interface and a robotic architecture composed by a deliberative layer and a reactive layer to translate user’s high-level command in a stream of movement for robots joints. To create a real-case scenario, the architecture was Edited by: Ganesh R. Naik, presented at Ars Electronica Festival, where the A3-K3 architecture has been used for Western Sydney University, Australia painting. Visitors completed a survey to address 4 self-assessed different dimensions Reviewed by: related to human-robot interaction: the technology knowledge, the personal attitude, the Calogero Maria Oddo, innovativeness and the satisfaction. The obtained results have led to further exploring the Scuola Sant’Anna di Studi Avanzati, Italy border of human-robot interaction, highlighting the possibilities of human expression in Valery E.
    [Show full text]
  • Biomed Research International Special Issue on Brain Computer
    BioMed Research International Special Issue on Brain Computer Interface Systems for Neurorobotics: Methods and Applications CALL FOR PAPERS Brain computer interface (BCI) systems establish a direct communication between Lead Guest Editor the brain and an external device. ese systems can be used for entertainment, to Victor H. C. De Albuquerque, improve the quality of life of patients and to control Virtual Reality applications, Universidade de Fortaleza, Fortaleza, industrial machines, and robots. In the neuroscience eld such as in neuroreha- Brazil bilitation, BCIs are integrated into controlled virtual environments used for the [email protected] treatment of disability, for example, cerebral palsy, Down syndrome, and depression. Its aim is to promote a recovery of brain function lost due to a lesion through Guest Editors noninvasive brain stimulation (brain modulation) in a more accurate and faster Robertas Damaševičius, Kaunas manner than the traditional techniques. Neurorobotics combines BCIs with robotics University of Technology, Kaunas, aiming to develop articial limbs, which can act as real members of human body Lithuania being controlled from a brain-machine interface. With the advancement of a better [email protected] understanding of how our brain works, new realistic computational algorithms are being considered, making it possible to simulate and model specic brain functions Nuno M. Garcia, University of Beira for the development of new Computational Intelligence algorithms and, nally, BCI Interior, Covilhã, Portugal for mobile devices/apps. [email protected] As an augmentative communication channel, BCI has already attracted considerable Plácido R. Pinheiro, Universidade de research interest thanks to recent advances in neurosciences, wearable biosensors, Fortaleza, Fortaleza, Brazil and data mining.
    [Show full text]
  • Ethical and Social Aspects of Neurorobotics
    Science and Engineering Ethics https://doi.org/10.1007/s11948-020-00248-8 ORIGINAL RESEARCH/SCHOLARSHIP Ethical and Social Aspects of Neurorobotics Christine Aicardi2 · Simisola Akintoye3 · B. Tyr Fothergill1 · Manuel Guerrero4,5 · Gudrun Klinker6 · William Knight1 · Lars Klüver7 · Yannick Morel8 · Fabrice O. Morin6 · Bernd Carsten Stahl1 · Inga Ulnicane1 © The Author(s) 2020 Abstract The interdisciplinary feld of neurorobotics looks to neuroscience to overcome the limitations of modern robotics technology, to robotics to advance our understand- ing of the neural system’s inner workings, and to information technology to develop tools that support those complementary endeavours. The development of these tech- nologies is still at an early stage, which makes them an ideal candidate for proac- tive and anticipatory ethical refection. This article explains the current state of neu- rorobotics development within the Human Brain Project, originating from a close collaboration between the scientifc and technical experts who drive neurorobotics innovation, and the humanities and social sciences scholars who provide contextu- alising and refective capabilities. This article discusses some of the ethical issues which can reasonably be expected. On this basis, the article explores possible gaps identifed within this collaborative, ethical refection that calls for attention to ensure that the development of neurorobotics is ethically sound and socially acceptable and desirable. Keywords Neurorobotics · Ethics · Responsible Research and Innovation
    [Show full text]
  • Computational Neuroscience Meets Optogenetics: Unlocking the Brain’S Secrets
    Health & Medicine ︱ Prof Simon Schultz and Dr Konstantin Nikolic Computational neuroscience meets optogenetics: Unlocking the brain’s secrets Working at the interface omposed of billions of specialised responsible for perception, action Simplified models allow researchers to study how the geometry of a neuron’s “dendritic tree” affects its ability to process information. between engineering and nerve cells (called neurons) wired and memory. But this is changing. neuroscience, Professor Simon C together in complex, intricate Schultz and Dr Konstantin webs, the brain is inherently challenging LET THERE BE LIGHT Nikolic at Imperial College to study. Neurons communicate with A powerful new tool (invented by Boyden of Neurotechnology and Director of SHEDDING LIGHT ON THE BRAIN AN INSIGHT INTO NEURONAL GAIN London are developing tools each other by transmitting electrical and and Deisseroth just a little over a decade the Imperial Centre of Excellence in Their innovative approach uses Using two biophysical models of to help us understand the chemical signals along neural circuits: ago) allows researchers to map the brain’s Neurotechnology, Dr Konstantin Nikolic, sophisticated two-photon microscopy, neurons, genetically-modified to include intricate workings of the brain. signals that vary both in space and time. connections, giving unprecedented Associate Professor in the Department optogenetics and electrophysiology two distinct light-sensitive proteins Combining a revolutionary Until now, technical limitations in the access to the workings of the brain. Its of Electrical and Electronic Engineering, to measure (and disturb) patterns of (called opsins): channelrhodopsin-2 technology – optogenetics available research methods to study the impressive resolution enables precise and Dr Sarah Jarvis are taking a unique neuronal activity in vivo (in living tissue).
    [Show full text]
  • Implantable Microelectrodes on Soft Substrate with Nanostructured Active Surface for Stimulation and Recording of Brain Activities Valentina Castagnola
    Implantable microelectrodes on soft substrate with nanostructured active surface for stimulation and recording of brain activities Valentina Castagnola To cite this version: Valentina Castagnola. Implantable microelectrodes on soft substrate with nanostructured active sur- face for stimulation and recording of brain activities. Micro and nanotechnologies/Microelectronics. Universite Toulouse III Paul Sabatier, 2014. English. tel-01137352 HAL Id: tel-01137352 https://hal.archives-ouvertes.fr/tel-01137352 Submitted on 31 Mar 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSETHÈSE En vue de l’obtention du DOCTORAT DE L’UNIVERSITÉ DE TOULOUSE Délivré par : l’Université Toulouse 3 Paul Sabatier (UT3 Paul Sabatier) Présentée et soutenue le 18/12/2014 par : Valentina CASTAGNOLA Implantable Microelectrodes on Soft Substrate with Nanostructured Active Surface for Stimulation and Recording of Brain Activities JURY M. Frédéric MORANCHO Professeur d’Université Président de jury M. Blaise YVERT Directeur de recherche Rapporteur Mme Yael HANEIN Professeur d’Université Rapporteur M. Pascal MAILLEY Directeur de recherche Examinateur M. Christian BERGAUD Directeur de recherche Directeur de thèse Mme Emeline DESCAMPS Chargée de Recherche Directeur de thèse École doctorale et spécialité : GEET : Micro et Nanosystèmes Unité de Recherche : Laboratoire d’Analyse et d’Architecture des Systèmes (UPR 8001) Directeur(s) de Thèse : M.
    [Show full text]
  • ECE 5070: Neuroengineering and Neuroprosthetics
    ECE 5070: Neuroengineering and Neuroprosthetics Course Description An overview of the broad field of Neuroengineering for graduate and senior undergraduate students with engineering or neuroscience backgrounds. Focusing on neural interfaces and prostheses, this course covers from basic neurophysiology and computational neuronal models to advanced neural interfaces and prostheses currently being actively developed in the field. Transcript Abbreviation: Neur Eng & Prosth Grading Plan: Letter Grade Course Deliveries: Classroom Course Levels: Undergrad, Graduate Student Ranks: Junior, Senior, Masters, Doctoral Course Offerings: Autumn Flex Scheduled Course: Never Course Frequency: Even Years Course Length: 14 Week Credits: 3.0 Repeatable: No Time Distribution: 3.0 hr Lec Expected out-of-class hours per week: 6.0 Graded Component: Lecture Credit by Examination: No Admission Condition: No Off Campus: Never Campus Locations: Columbus Prerequisites and Co-requisites: Prereq: 3050 or BME 3703; or Neurosc 3010; or Grad standing in Engineering or Neurosc. Exclusions: Not open to students with credit for 5194.03 or Neurosc 5070. Cross-Listings: Cross-listed in Neurosc. Course Rationale: Introduce students a vibrant, interdisciplinary field which integrates engineering and neuroscience principles for treating neurological disorders. The course is required for this unit's degrees, majors, and/or minors: No The course is a GEC: No The course is an elective (for this or other units) or is a service course for other units: Yes Subject/CIP Code: 14.1001 Subsidy Level: Doctoral Course Programs Abbreviation Description CpE Computer Engineering EE Electrical Engineering Course Goals Master principles of neural interfaces. Be competent with computational neural models. Be competent with design of common neuroprostheses.
    [Show full text]
  • New Technologies for Human Robot Interaction and Neuroprosthetics
    University of Plymouth PEARL https://pearl.plymouth.ac.uk Faculty of Science and Engineering School of Engineering, Computing and Mathematics 2017-07-01 Human-Robot Interaction and Neuroprosthetics: A review of new technologies Cangelosi, A http://hdl.handle.net/10026.1/9872 10.1109/MCE.2016.2614423 IEEE Consumer Electronics Magazine All content in PEARL is protected by copyright law. Author manuscripts are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author. CEMAG-OA-0004-Mar-2016.R3 1 New Technologies for Human Robot Interaction and Neuroprosthetics Angelo Cangelosi, Sara Invitto Abstract—New technologies in the field of neuroprosthetics and These developments in neuroprosthetics are closely linked to robotics are leading to the development of innovative commercial the recent significant investment and progress in research on products based on user-centered, functional processes of cognitive neural networks and deep learning approaches to robotics and neuroscience and perceptron studies. The aim of this review is to autonomous systems [2][3]. Specifically, one key area of analyze this innovative path through the description of some of the development has been that of cognitive robots for human-robot latest neuroprosthetics and human-robot interaction applications, in particular the Brain Computer Interface linked to haptic interaction and assistive robotics. This concerns the design of systems, interactive robotics and autonomous systems. These robot companions for the elderly, social robots for children with issues will be addressed by analyzing developmental robotics and disabilities such as Autism Spectrum Disorders, and robot examples of neurorobotics research.
    [Show full text]
  • Brain-Machine Interface: from Neurophysiology to Clinical
    Neurophysiology of Brain-Machine Interface Rehabilitation Matija Milosevic, Osaka University - Graduate School of Engineering Science - Japan. Abstract— Long-lasting cortical re-organization or II. METHODS neuroplasticity depends on the ability to synchronize the descending (voluntary) commands and the successful execution Stimulation of muscles with FES was delivered using a of the task using a neuroprosthetic. This talk will discuss the constant current biphasic waveform with a 300μs pulse width neurophysiological mechanisms of brain-machine interface at 50 Hz frequency via surface electrodes. First, repetitive (BMI) controlled neuroprosthetics with the aim to provide transcranial magnetic stimulation (rTMS) intermittent theta implications for development of technologies for rehabilitation. burst protocol (iTBS) was used to induce cortical facilitation. iTBS protocol consists of pulses delivered intermittently at a I. INTRODUCTION frequency of 50 Hz and 5 Hz for a total of 200 seconds. Functional electrical stimulation (FES) neuroprosthetics Moreover, motor imagery protocol was used to display a can be used to applying short electric impulses over the virtual reality hand opening and closing sequence of muscles or the nerves to generate hand muscle contractions movements (hand flexion/extension) while subject’s hands and functional movements such as reaching and grasping. remained at rest and out of the visual field. Our work has shown that recruitment of muscles using FES goes beyond simple contractions, with evidence suggesting III. RESULTS re-organization of the spinal reflex networks and cortical- Our first results showed that motor imagery can affect level changes after the stimulating period [1,2]. However, a major challenge remains in achieving precise temporal corticospinal facilitation in a phase-dependent manner, i.e., synchronization of voluntary commands and activation of the hand flexor muscles during hand closing and extensor muscles [3].
    [Show full text]
  • Practical and Ethical Issues at the Intersection of Brain Science and Society
    Emerging Neurotechnologies: Practical and Ethical Issues at the Intersection of Brain Science and Society James Giordano PhD Departments of Neurology and Biochemistry Neuroethics Studies Program, Pellegrino Center for Clinical Bioethics Georgetown University Medical Center Washington, DC, USA and EU-Human Brain Project SP-12 Uppsala University, Sweden Neuroscience… • Huge leaps using technology to study and understand how nervous systems and brains are structured and function. Allowed understanding at certain levels of causality: – Formal: Overall “workings” of biological systems – Material: Structure and functional roles of neurons, glia But not at others… – Efficient: How “grey stuff” actually makes “great stuff” – Final: For what? To what “ends”? Core Questions... What do we do with the information and capability we have? What do we do about the information and capability we don’t? Questions toward Innovation • Tools to Theory • Theory to Tools... ...to Theory AISC Approach Brain Science on the World Stage • EU Human Brain Project • US BRAIN initiative • China Brain Project • Japan Brain Project • Global NeuroS/T Economic Predictions 2025 – Asia – US/Western Europe – South America Neuroscience and Technologies (NeuroS/T) • Assessment – Biomarkers – Genetics/genomics – Imaging – Brain modeling/mapping • Interventional – Technopharmaceutics – P-Stim – Neurofeedback – Transcranial Modulation – Deep Brain Stimulation – BCI – Neuroprosthetics • Derivative – -Artificial neural networks – -AI technologies A-3: Actual Ability to Assess...Access...Affect To What Effect(s) and Ends? Neuroimaging – PET – CT – MR – fMR – DTI – MEG/qEEG Can we Scan the Brain to Depict Consciousness and/or “Read” Minds? text copyright, J. Giordano, 2014 Neurogenetics – Genotyping – Phenotyping – Proteomics – Genetic Intervention(s) Can we “Predict” or “Create” Present and Future “Selves”? text copyright, J.
    [Show full text]
  • Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: a Systematic Literature Review
    sensors Systematic Review Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review Nuraini Jamil 1 , Abdelkader Nasreddine Belkacem 2,* , Sofia Ouhbi 1 and Abderrahmane Lakas 2 1 Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; [email protected] (N.J.); sofi[email protected] (S.O.) 2 Department of Computer and Network Engineering, College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; [email protected] * Correspondence: [email protected] Abstract: Humans interact with computers through various devices. Such interactions may not require any physical movement, thus aiding people with severe motor disabilities in communicating with external devices. The brain–computer interface (BCI) has turned into a field involving new elements for assistive and rehabilitative technologies. This systematic literature review (SLR) aims to help BCI investigator and investors to decide which devices to select or which studies to support based on the current market examination. This examination of noninvasive EEG devices is based on published BCI studies in different research areas. In this SLR, the research area of noninvasive Citation: Jamil, N.; Belkacem, A.N.; BCIs using electroencephalography (EEG) was analyzed by examining the types of equipment used Ouhbi, S.; Lakas, A. Noninvasive for assistive, adaptive, and rehabilitative BCIs. For this SLR, candidate studies were selected from Electroencephalography Equipment the IEEE digital library, PubMed, Scopus, and ScienceDirect. The inclusion criteria (IC) were limited for Assistive, Adaptive, and to studies focusing on applications and devices of the BCI technology.
    [Show full text]
  • Subproject 10: Neurorobotics
    Co-funded by the European Union Subproject 10: Neurorobotics Deliverable D10.7.2 Revised Report, 6 Oct 2017 D10.7.2 (D60.2 D25, SGA1 M12) ACCEPTED 20171108.docx PU = Public 08-Nov-2017 Page 1 of 124 Co-funded by the European Union Project Number: 720270 Project Title: Human Brain Project SGA1 Document Title: D10.7.2 SP10 Neurorobotics Platform - Results for SGA1 Period 1 Document Filename: D10.7.2 (D60.2 D25, SGA1 M12) ACCEPTED 20171108.docx Deliverable Number: SGA1 D10.7.2 Deliverable Type: Report Work Package(s): All WPs in SP10 Dissemination Level: PU = Public Planned Delivery SGA1 M12 / 31 Mar 2017 Date: Submitted: 31 May 2017 (M14), Resubmitted 6 Oct 2017 (M19), Accepted 08 Nov Actual Delivery Date: 2017 Authors: Alois KNOLL, TUM (P56), Marc-Oliver Gewaltig, EPFL (P1) Compiling Editors: Florian RÖHRBEIN, TUM (P56) Contributors: All Task leaders and their representatives SciTechCoord Re- EPFL (P1): Jeff MULLER, Martin TELEFONT, Marie-Elisabeth COLIN view: UHEI (P47): Martina SCHMALHOLZ, Sabine SCHNEIDER Editorial Review: EPFL (P1): Guy WILLIS, Colin McKINNON Abstract: This document describes the progress made in the first half of the first SGA. Keywords: Neurorobotics, virtual robotics, in silico experiments D10.7.2 (D60.2 D25, SGA1 M12) ACCEPTED 20171108.docx PU = Public 08-Nov-2017 Page 2 of 124 Co-funded by the European Union Table of Contents 1. Preamble ........................................................................................................ 8 2. SP Leader’s Overview........................................................................................
    [Show full text]
  • Editorial Brain Computer Interface Systems for Neurorobotics: Methods and Applications
    Hindawi BioMed Research International Volume 2017, Article ID 2505493, 2 pages https://doi.org/10.1155/2017/2505493 Editorial Brain Computer Interface Systems for Neurorobotics: Methods and Applications Victor Hugo C. de Albuquerque,1 Robertas DamaševiIius,2 Nuno M. Garcia,3 Plácido Rogério Pinheiro,1 and Pedro P. Rebouças Filho4 1 Programa de Pos´ Graduac¸ao˜ em Informatica´ Aplicada, Laboratorio´ de Bioinformatica,´ Universidade de Fortaleza, Fortaleza, CE, Brazil 2Department of Software Engineering, Kaunas University of Technology, Kaunas, Lithuania 3Department of Informatics, Instituto de Telecomunicac¸oes˜ and ALLab Assisted Living Computing and Telecommunications Laboratory,UniversidadedaBeiraInterior,Covilha,˜ Portugal 4Laboratorio´ de Processamento de Imagens e Simulac¸ao˜ Computacional, Instituto Federal de Educac¸ao,˜ Cienciaˆ e Tecnologia do Ceara,´ Maracanau,´ CE, Brazil Correspondence should be addressed to Victor Hugo C. de Albuquerque; [email protected] Received 7 August 2017; Accepted 7 August 2017; Published 30 October 2017 Copyright © 2017 Victor Hugo C. de Albuquerque et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Brain computer interface (BCI) systems establish a direct data mining. However, to overcome numerous challenges the communication between the brain and an external device. BCI technology still requires research in high-performance These systems can be used for entertainment, to improve the and robust signal processing and machine learning algo- quality of life of patients and to control virtual and augmented rithmstoproduceareliableandstablecontrolsignalfrom reality applications, industrial machines, and robots. In the nonstationary brain signals to allow development of real- neuroscience field such as in neurorehabilitation, BCIs are life BCI systems usable across many individuals.
    [Show full text]