Brain Port Device Will Be Introduced in 2006
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Ecog Signal Processing for Brain Computer Interface with Multiple Degrees of Freedom for Clinical Application Marie-Caroline Schaeffer
ECoG signal processing for Brain Computer Interface with multiple degrees of freedom for clinical application Marie-Caroline Schaeffer To cite this version: Marie-Caroline Schaeffer. ECoG signal processing for Brain Computer Interface with multiple degrees of freedom for clinical application. Medical Physics [physics.med-ph]. Université Grenoble Alpes, 2017. English. NNT : 2017GREAS026. tel-01763451 HAL Id: tel-01763451 https://tel.archives-ouvertes.fr/tel-01763451 Submitted on 11 Apr 2018 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. THÈSE Pour obtenir le grade de DOCTEUR DE LA COMMUNAUTE UNIVERSITE GRENOBLE ALPES Spécialité : MBS – Modèles, méthodes et algorithmes en biologie, santé et environnement Arrêté ministériel : 25 mai 2016 Présentée par Marie-Caroline SCHAEFFER Thèse dirigée par Tetiana AKSENOVA (EDISCE), CEA préparée au sein du Laboratoire CLINATEC dans l'École Doctorale Ingénierie pour la Santé, la Cognition et l’Environnement Traitement du signal ECoG pour Interface Cerveau Machine à grand nombre de degrés de liberté pour application clinique Thèse soutenue publiquement le 6 Juin 2017 , devant le jury composé de : Prof. Alim-Louis BENABID Président Dr. Laurent BOUGRAIN Membre Prof. François CABESTAING Rapporteur Dr. Marco CONGEDO Membre Prof. -
ENG 384 Assignment.Odt
PLANNING AND CONSTRUCTION OF MECHATRONICS ENGINEERING FACILITIES FOR SUSTAINABLE DEVELOPMENT IN NIGERIA; CHALLENGES AND WAY FORWARD BY SAJINYAN, OLANREWAJU OLAKUNLE 18/ENG05/055 SUBMITTED TO MECHANICAL AND MECHATRONICS DEPARTMENT COLLEGE OF ENGINEERING, ABUAD IN PARTIAL FULFILLMENT OF ENG 384: ENGINEERING LAW 2ND MAY, 2021 ABSTRACT With time, technology and engineering keep progressing across the world. In ancient times, it started with only civil engineering which involved the building of structures like houses for shelter or tools to make farming easier. Now there’s a wide range of individual engineering studies one can dive into inside this modern age. Some examples being Electrical engineering, mechanical engineering, computer engineering, even software engineering. Some of these modern age engineering programs can be further divided into other engineering categories Mechatronics engineering included. Other engineering disciplines from these categories include: Bio-Medical engineering, Structural engineering, Aeronautical Engineering. In this paper, planning and construction of Mechatronics engineering structures and facilities for sustainable development in Nigeria; its challenges as well as its way forward will be treated. INTRODUCTION TO MECHATRONICS ENGINEERING Mechatronics, also called mechatronics engineering, is an interdisciplinary branch of engineering that focuses on the engineering of electronic, electrical and mechanical engineering systems, and also includes a combination of robotics, electronics, computer, telecommunications, -
THE 11TH WORLD CONGRESS on the Relationship Between Neurobiology and Nano-Electronics Focusing on Artificial Vision
THE 11TH WORLD CONGRESS On the Relationship Between Neurobiology and Nano-Electronics Focusing on Artificial Vision November 10-12, 2019 The Henry, An Autograph Collection Hotel DEPARTMENT OF OPHTHALMOLOGY Detroit Institute of Ophthalmology Thank you to Friends of Vision for your support of the Bartimaeus Dinner The Eye and The Chip 2 DEPARTMENT OF OPHTHALMOLOGY Detroit Institute of Ophthalmology TABLE OF CONTENTS WELCOME LETTER—PAUL A. EDWARDS. M.D. ....................................................... WELCOME LETTER—PHILIP C. HESSBURG, M.D. ..................................................... DETROIT INSTITUTE OF OPHTHALMOLOGY ......................................................... ORGANIZING COMMITTEE/ACCREDITATION STATEMENT ............................................... CONGRESS 3-DAY SCHEDULE ................................................................... PLATFORM SPEAKER LIST ...................................................................... SPEAKER ABSTRACTS .......................................................................... POSTER PRESENTERS’ LIST ..................................................................... POSTER ABSTRACTS ........................................................................... BARTIMAEUS AWARD—PREVIOUS RECIPIENTS ...................................................... SUPPORTING SPONSORS . Audio-Visual Services Provided by Dynasty Media Network http://dynastymedianetwork.com/ The Eye and The Chip Welcome On behalf of the Henry Ford Health System and the Department of Ophthalmology, -
Human Enhancement Technologies and Our Merger with Machines
Human Enhancement and Technologies Our Merger with Machines Human • Woodrow Barfield and Blodgett-Ford Sayoko Enhancement Technologies and Our Merger with Machines Edited by Woodrow Barfield and Sayoko Blodgett-Ford Printed Edition of the Special Issue Published in Philosophies www.mdpi.com/journal/philosophies Human Enhancement Technologies and Our Merger with Machines Human Enhancement Technologies and Our Merger with Machines Editors Woodrow Barfield Sayoko Blodgett-Ford MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade • Manchester • Tokyo • Cluj • Tianjin Editors Woodrow Barfield Sayoko Blodgett-Ford Visiting Professor, University of Turin Boston College Law School Affiliate, Whitaker Institute, NUI, Galway USA Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Philosophies (ISSN 2409-9287) (available at: https://www.mdpi.com/journal/philosophies/special issues/human enhancement technologies). For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Volume Number, Page Range. ISBN 978-3-0365-0904-4 (Hbk) ISBN 978-3-0365-0905-1 (PDF) Cover image courtesy of N. M. Ford. © 2021 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. -
Rehabilitation Technologies: Biomechatronics Point of View
1 Rehabilitation Technologies: Biomechatronics Point of View Erhan Akdoğan and M. Hakan Demir Yıldız Technical University Turkey 1. Introduction Rehabilitation aims to bring back the patient’s physical, sensory, and mental capabilities that were lost due to injury, illness, and disease, and to support the patient to compensate for deficits that cannot be treated medically (http://www.ehendrick.org/healthy, June 2010). After the Spinal Cord Injury (SCI), stroke, muscle disorder, and surgical operation such as knee artroplasticy, patients need rehabilitation to recover their movement capability (mobilization) (Bradly et al., 2000; Inal, 2000; Metrailler et al., 2007; Okada et al., 2000; Reinkensmeyer, 2003 and http://www.manchesterneurophysio.co.uk, November 2010). The number of those who need rehabilitation is steadily increasing everyday. Parallel to this, equipment and techniques used in the field of rehabilitation are becoming more advanced and sophisticated. On the other hand, mechatronics, an interdisciplinary science, is a combination of machinery, electric-electronics and computer sciences plays an important role in rehabilitation technologies. In particular mechatronics systems provide important benefits for movements that are related to physical exercises in rehabilitation process. Biomechatronics is a sub-discipline of mechatronics. It is related to develop mechatronics systems which assist or restore to human body. A biomechatronic system has four units: Biosensors, Mechanical Sensors, Controller, and Actuator. Biosensors detect intentions of human using biological reactions coming from nervous or muscle system. The controller acts as a translator between biological and electronic systems, and also monitors the movements of the biomechatronic device. Mechanical sensors measure information about the biomechatronic device and relay to the biosensor or controller. -
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. -
Electronic Approaches to Restoration of Sight
Home Search Collections Journals About Contact us My IOPscience Electronic approaches to restoration of sight This content has been downloaded from IOPscience. Please scroll down to see the full text. 2016 Rep. Prog. Phys. 79 096701 (http://iopscience.iop.org/0034-4885/79/9/096701) View the table of contents for this issue, or go to the journal homepage for more Download details: IP Address: 171.64.108.170 This content was downloaded on 09/08/2016 at 17:30 Please note that terms and conditions apply. IOP Reports on Progress in Physics Reports on Progress in Physics Rep. Prog. Phys. Rep. Prog. Phys. 79 (2016) 096701 (29pp) doi:10.1088/0034-4885/79/9/096701 79 Review 2016 Electronic approaches to restoration of sight © 2016 IOP Publishing Ltd G A Goetz1,2 and D V Palanker1,3 RPPHAG 1 Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305, USA 2 Neurosurgery, Stanford University, Stanford, CA 94305, USA 096701 3 Ophthalmology, Stanford University, Stanford, CA 94305, USA E-mail: [email protected] and [email protected] G A Goetz and D V Palanker Received 11 November 2014, revised 11 April 2016 Accepted for publication 23 May 2016 Electronic approaches to restoration of sight Published 9 August 2016 Abstract Printed in the UK Retinal prostheses are a promising means for restoring sight to patients blinded by the gradual atrophy of photoreceptors due to retinal degeneration. They are designed to reintroduce ROP information into the visual system by electrically stimulating surviving neurons in the retina. This review outlines the concepts and technologies behind two major approaches to retinal prosthetics: epiretinal and subretinal. -
James Phillips CV
Curriculum Vitae James Otho Phillips, Ph.D. Personal Data Place of Birth Portland, Oregon Citizenship USA Education: Pomona College, B.A. 1977 Claremont, CA English literature University of Washington Ph.D. 1993 Seattle, WA Psychology and Physiology > separate qualifying and general examinations in each discipline, doctoral committee from Arts and Sciences and from School of Medicine, and two-part dissertation containing behavioral and neurophysiological studies > Psychology specialization in neuropsychology of memory and learning > Physiology specialization in oculomotor and vestibular neurophysiology Postgraduate Training: Post-doctoral and Senior Fellowships 1993-1997 Department of Physiology and Biophysics University of Washington, Seattle, WA Faculty Positions Held: Research Asst. Professor 1998-2002 Department of Otolaryngology - HNS University of Washington, Seattle, WA Research Asst. Professor 1998-2002 Division of Ophthalmology, Department of Surgery Children’s Hospital and Regional Medical Center Seattle, WA Research Assoc. Professor 2003-2016 Department of Otolaryngology - HNS University of Washington, Seattle, WA Research Assoc. Professor 2003-2016 Division of Ophthalmology, Department of Surgery Children’s Hospital and Regional Medical Center Seattle, WA Adjunct Research Associate Professor 2016 Speech and Hearing Sciences University of Washington, Seattle, WA Phillips, J.O. 2 Hospital Positions Held: Vestibular-Oculomotor Physiologist, Medical Staff, Consulting 2000-2016 Division of Ophthalmology, Department of Surgery, -
Chapter 23. Lower Limb Active Prosthetic Systems—Overview
CHAPTER LOWER LIMB ACTIVE PROSTHETIC SYSTEMS— OVERVIEW 23 Alexandra S. Voloshina and Steven H. Collins Department of Mechanical Engineering, Stanford University, Stanford, CA, United States 23.1 INTRODUCTION Changes in lower limb mechanics, sensory feedback, and power output associated with lower limb loss have substantial impacts on the gait biomechanics and energetics of individuals with amputa- tions. During unimpaired level ground walking, the ankle produces significant net positive ankle power throughout the stride [1,2], with other locomotor tasks, such as walking up slopes, relying on additional net positive power output at the knee [3]. As a result, lower limb amputation and the associated loss of ankle and knee power production is linked to slower self-selected walking speeds and increased energy expenditure [4]. People with transtibial and transfemoral amputation expend up to 30% and 60% more metabolic energy, respectively [4,5], when compared to unimpaired indi- viduals walking at the same speed. Similarly, the preferred walking speed of individuals with amputation can be 10%À65% slower than the average walking speed of unaffected individuals, depending on the level of amputation and the walking surface [4,6]. Individuals with lower limb amputation often adapt compensatory gait strategies that can lead to significant changes in gait dynamics, joint loading and work, and muscle activity in the affected and unaffected limbs. For example, unilateral below-knee prosthesis users tend to favor their unaf- fected limb [7,8], which often endures greater joint forces, moments, and stress during daily activity [9À11]. The hip joint on the contralateral limb can produce up to three times more work than the hip joint of an unimpaired individual, likely as compensation for lack of power production of con- ventional passive prostheses [1,12]. -
Connecting Brain Computer Interface Technology with Ubiquitous Complex Event Processing
Connecting Brain Computer Interface Technology with Ubiquitous Complex Event Processing – Aspects of New Applications in the Fields of Biology, Brain Research and Medicine Extended Abstract Yuri Danilov Kurt Kaczmarek Mitchell Tyler TCNL, room M1012, 1550 University Ave, Biomedical Engineering Department, UW- Madison, USA [email protected] , … Rainer von Ammon CITT GmbH, Konrad-Adenauerallee 30, D-93051 Regensburg, Germany [email protected] Outline (to be replaced by abstract in the final paper, Springer style) 1. Why connecting BCI with U-CEP? 2. BCI as interface to and from the brain 3. The role of U-CEP 4. Infrastructure for connecting BCI and U-CEP: Body Area Networks and Wearable Technologies 5. The appropriate computing power - cognitive computing chips, combining digital ‘neurons’ and ‘synapses’ 5. New applications based on connecting BCI and U-CEP 6. BrainPort technology 7. CN-NINM technology 8. Example “Depression (or another example)”: Defining biomarkers, event modelling of biosensors as event sources and process modelling for influencing the protein-machinery Why connecting BCI with U-CEP? The edBPM/U-CEP workshop series has so far focused on the topics of connecting Internet of Services and Things with the management of business processes and the Future and Emerging Technologies as addressed by the ISTAG Recommendations of the European FET-F 2020 and Beyond Initiative [1]. Such FET challenges are not longer limited to business processes, but focus on new ideas in order to connect processes on the basis of CEP with disciplines of Cell Biology, Epigenetics, Brain Research, Robotics, Emergency Management, SocioGeonomics, Bio- and Quantum Computing – summarized under the concept of U-CEP [2]. -
Curriculum Vitae
Curriculum Vitae Sudeep Sarkar Professor and Chair, Department of Computer Science and Engineering University of South Florida 4202 East Fowler Ave., ENB 118 Tampa, Florida 33620 E-mail: [email protected] http://www.cse.usf.edu/˜sarkar/ October 13, 2017 To teach, to seek, to serve, & to learn. 1. Educational Background • Doctor of Philosophy (Electrical Engineering) o The Ohio State University, Columbus, Ohio, March 1993. o Dissertation title: On Computing Perceptual Organization in Computer Vision. o Advisor: Prof. Kim L. Boyer. • Master of Science (Electrical Engineering) o The Ohio State University, Columbus, Ohio, March 1990. o Thesis: Optimal, Efficient Detection and Low Level Perceptual Organization of Edge Features. o Advisor: Prof. Kim L. Boyer. • Bachelor of Technology (Electrical Engineering) o Indian Institute of Technology, Kanpur, India, May 1988. o Project: Modeling of flicker noise using autoregressive moving average (ARMA) models: Simulation and Hardware Validation. o Project Advisor: Prof R. Sharan. 2. Honors 1. Fellow of the National Academy of Inventors (NAI), 2017. 2. Fellow of the American Institute for Medical and Biological Engineering (AIMBE), 2016. 3. Best Student Paper Award at IEEE International Conference on Identity, Security, and Behavior Analysis, 2015. 4. Best Scientific Paper Award at International Conference on Pattern Recognition, 2014. 5. Outstanding Faculty Award, University of South Florida, 2014. 6. Fellow of the American Association for the Advancement of Sciences (AAAS), 2013. 7. Fellow of the Institute for Electrical and Electronics Engineering (IEEE), 2013. 8. IEEE Computer Society Distinguished Visitor Program Speaker, 2010-2012. 9. Charter Member of National Academy of Inventors, 2010. 10. IBM Best Student Paper Award at International Conference on Pattern Recognition, 2010. -
Non Invasive Brain-Machine Interfaces Final Report
Non Invasive Brain-Machine Interfaces Final Report Authors: José del R. Millán, Pierre W. Ferrez, Anna Buttfield Affiliation: IDIAP Research Institute ESA Research Fellow/Technical Officer: Carlo Menon Contacts: Prof. Dr. José del R. Millán Tel: +41-27-7217770 Fax: +41-27-7217712 e-mail: [email protected] Dr. Carlo Menon Tel: +31(0)715658675 Fax: +31(0)715658018 e-mail: [email protected] Ariadna ID: 05/6402 Available on the ACT website Study Duration: 2 months http://www.esa.int/act Contract Number: 19708/06/NL/HE Table of Contents 1. Introduction............................................................................................. 3 2. EEG-based Brain-Computer Interfaces: Methodologies ........................ 6 2.1 Evoked BCIs ................................................................................... 6 2.2 Spontaneous BCI............................................................................. 7 2.2.1 Slow Potentials................................................................. 8 2.2.2 Rhythmic Activity............................................................ 9 2.3 Operant Conditioning & Machine Learning ................................. 11 2.4 Synchronous vs. Asynchronous BCI............................................. 12 2.5 Spatial Filtering............................................................................. 13 3. Hardware............................................................................................... 14 4. Current Applications............................................................................