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Erratum to: Supplemental vibrotactile feedback control of stabilization and reaching actions of the arm using limb state and position error encodings

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Journal of neuroengineering and rehabilitation 2017年第1期14卷 69页

作者： Alexis R Krueger Psiche Giannoni Valay Shah Maura Casadio Robert A Scheidt Biomedical Engineering Marquette University Milwaukee WI USA. Informatics Bioengineering Robotics and Systems Engineering University of Genova Genoa Italy. Robotics Brain and Cognitive Science Italian Institute of Technology Genoa Italy. Biomedical Engineering Marquette University Milwaukee WI USA. robert.scheidt@marquette.edu. Physical Medicine and Rehabilitation Northwestern University Feinberg School of Medicine Chicago IL USA. robert.scheidt@marquette.edu. Sensory Motor Performance Program Rehabilitation Institute of Chicago Chicago IL USA. robert.scheidt@marquette.edu. Neurology Medical College of Wisconsin Wauwatosa WI USA. robert.scheidt@marquette.edu. Neuromotor Control Laboratory Department of Biomedical Engineering Marquette University Olin Engineering Center 206 P.O. Box 1881 Milwaukee WI 53201-1881 USA. robert.scheidt@marquette.edu.

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Transient Electronics: Dry Transient Electronic Systems by Use of Materials that Sublime (Adv. Funct. Mater. 12/2017)

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Advanced Functional Materials 2017年第12期27卷

作者： Bong Hoon Kim Jae‐Hwan Kim Luana Persano Suk‐Won Hwang Seungmin Lee Jungyup Lee Yongjoon Yu Yongseon Kang Sang M. Won Jahyun Koo Youn Kyoung Cho Gyum Hur Anthony Banks Jun‐Kyul Song Phillip Won Young Min Song Kyung‐In Jang Daeshik Kang Chi Hwan Lee Dario Pisignano John A. Rogers Departments of Materials Science and Engineering Biomedical Engineering Chemistry Neurological Surgery Mechanical Engineering Electrical Engineering and Computer Science Simpson Querrey Institute and Feinberg Medical School Center for Bio‐Integrated Electronics Northwestern University Evanston IL 60208 USA Department of Materials Science and Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana IL 61801 USA NEST Istituto Nanoscienze‐CNR Piazza S. Silvestro 12 I‐56127 Pisa Italy KU‐KIST Graduate School of Converging Science and Technology Korea University Seoul 02841 Republic of Korea School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology (GIST) Gwangju 61005 Republic of Korea Department of Robotics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea Department of Mechanical Engineering Ajou University Suwon 443–749 Republic of Korea Weldon School of Biomedical Engineering School of Mechanical Engineering The Center for Implantable Devices and Birck Nanotechnology Center Purdue University West Lafayette IN 47907 USA Dipartimento di Matematica e Fisica “Ennio De Giorgi” Università del Salento Via Arnesano I‐73100 Lecce Italy

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Prototyping a simple small smart robotic arm — Manipulator

Prototyping a simple small smart robotic arm — Manipulator

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International Conference on Control, Automation and robotics (ICCAR)

作者： Meteb Altaf Eball Ahmad Abdulmohsin Jarwali Faisal Alateeq Faisal Alturki National Center for Robotics Technology and Intelligent Systems King Abdulaziz City for Science and Technology Riyadh Saudi Arabia King Abdulaziz City for Science And Technology Riyadh Al Riyadh Province SA Department of Biomedical Technology King Saud University Riyadh Saudi Arabia

In many experiments, it is frequently necessary to be able to perform several types of applications using simple manipulators for pick and place as in the case of sample preparation for different types of experiments. This paper describes a simple small and smart manipulator prototype using 3D printer which overcomes the need for small manipulations and handling applications. This manipulator will use pizo electric materials to perform the required operation. This manipulator will have only two links with small gripper and limited motion. The design will describe the motion and the required parts to get this small simple smart manipulator working.

关键词： Wires Muscles Three-dimensional displays Printers Manipulator dynamics

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Oximetry: Miniaturized Battery‐Free Wireless Systems for Wearable Pulse Oximetry (Adv. Funct. Mater. 1/2017)

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Advanced Functional Materials 2017年第1期27卷

作者： Jeonghyun Kim Philipp Gutruf Antonio M. Chiarelli Seung Yun Heo Kyoungyeon Cho Zhaoqian Xie Anthony Banks Seungyoung Han Kyung‐In Jang Jung Woo Lee Kyu‐Tae Lee Xue Feng Yonggang Huang Monica Fabiani Gabriele Gratton Ungyu Paik John A. Rogers Department of Materials Science and Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana IL 61801 USA Departments of Materials Science and Engineering Northwestern University Evanston IL 60208 USA Beckman Institute University of Illinois at Urbana‐Champaign Urbana IL 61801 USA Departments of Biomedical Engineering Northwestern University Evanston IL 60208 USA Department of Electrical and Computer Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana IL 61801 USA Department of Civil and Environmental Engineering Northwestern University Evanston IL 60208 USA AML Department of Engineering Mechanics Center for Mechanics and Materials Tsinghua University Beijing 100084 China Department of Robotics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 South Korea Departments of Civil and Environmental Engineering Mechanical Engineering Materials Science and Engineering Center for Engineering and Health Skin Disease Research Center Northwestern University Evanston IL 60208 USA Department of Energy Engineering Hanyang University Seoul 133‐791 Republic of Korea Departments of Materials Science and Engineering Biomedical Engineering Chemistry Neurological Surgery Mechanical Engineering Electrical Engineering and Computer Science Simpson Querrey Institute & Feinberg Medical School Center for Bio‐Integrated Electronics Northwestern University Evanston IL 60208 USA

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Image-based navigation for a robotized flexible endoscope

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8899卷 77-87页

作者： Van Der Stap, Nanda Slump, C.H. Broeders, Ivo A. M. J. Van Der Heijden, Ferdi Robotics and Mechatronics group MIRA Institute for Biomedical Technology and Technical Medicine University of Twente Enschede Netherlands Department of Surgery Meander Medical Center P.O. Box 1502 Amersfoort3800 BM Netherlands

ISBN: (纸本)9783319134093

Robotizing flexible endoscopy enables image-based control of endoscopes. Especially during high-throughput procedures, such as a colonoscopy, navigation support algorithms could improve procedure turnaround and ergonomics for the *** this study, we have developed and implemented a navigation algorithm that is based on image classification followed by dark region segmentation. Robustness and accuracy were evaluated on real images obtained from human colonoscopy exams. Comparison was done using manual annotation as a reference. Intraclass correlation (ICC) was employed as a measure for similarity between automated and manual *** discrimination of the developed classifier was 6.8, making it a reliable classifier. In the experiments, the developed algorithm gave an ICC of 93 % (range 84.7-98.8 %) over the test image sequences on average. If images were classified as ‘uninformative’, which led to re-initialization of the algorithm, this was predictive for the result of dark region segmentation *** conclusion, the developed target detection algorithm provided accurate results and is thought to provide reliable assistance in the clinic. The clinical relevance of this kind of navigation and control is currently being investigated. © Springer International Publishing Switzerland 2014.

关键词： Endoscopy

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Hierarchical Classification of Large-Scale Patient Records for Automatic Treatment Stratification

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IEEE Journal of biomedical and Health Informatics 2015年第4期19卷 1234-1245页

作者： Mei, Kuizhi Peng, Jinye Gao, Ling Zheng, Naiquan Nigel Fan, Jianping Institute of Artificial Intelligence and Robotics Xi'An Jiaotong University Xi'an710049 China School of Information Science and Technology Northwest University Xi'an710069 China Center of Biomedical Engineering University of North Carolina at Charlotte NC28223 United States Department of Computer Science University of North Carolina at Charlotte NC28223 United States

In this paper, a hierarchical learning algorithm is developed for classifying large-scale patient records, e.g., categorizing large-scale patient records into large numbers of known patient categories (i.e., thousands of known patient categories) for automatic treatment stratification. Our hierarchical learning algorithm can leverage tree structure to train more discriminative max-margin classifiers for high-level nodes and control interlevel error propagation effectively. By ruling out unlikely groups of patient categories (i.e., irrelevant high-level nodes) at an early stage, our hierarchical approach can achieve log-linear computational complexity, which is very attractive for big data applications. Our experiments on one specific medical domain have demonstrated that our hierarchical approach can achieve very competitive results on both classification accuracy and computational efficiency as compared with other state-of-the-art techniques. © 2015 IEEE.

关键词： Learning algorithms

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A soft exoskeleton for hand assistive and rehabilitation application using pneumatic actuators with variable stiffness

A soft exoskeleton for hand assistive and rehabilitation app...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Hong Kai Yap Jeong Hoon Lim Fatima Nasrallah James C. H. Goh Raye C. H. Yeow Department of Biomedical Engineering National University of Singapore Singapore NUS Graduate School for Integrative Sciences and Engineering Jeong Hoon Lim is with the Department of Medicine National University of Singapore Singapore Fatima Nasrallah is with the Clinical Imaging Research Centre Agency for Science Technology and Research Singapore Singapore Institute for Neurotechnology and Advanced Robotics Center

In this paper, we present the design of a soft wearable exoskeleton that comprises of a glove embedded with pneumatic actuators of variable stiffness for hand assistive and rehabilitation application. The device is lightweight and easily wearable due to the usage of soft pneumatic actuators. A key feature of the device is the variable stiffness of the actuators at different localities that not only conform to the finger profile during actuation, but also provides customizability for different hand dimensions. The actuators can achieve different bending profiles with variable stiffness implemented at different localities. Therefore, the device is able to perform different hand therapy exercises such as full fist, straight fist, hook fist and table top. The device was characterized in terms of its range of motion and maximum force output. Experiments were conducted to examine the differences between active and passive actuation. The results showed that the device could achieve hand grasping and pinching with acceptable range of motion and force.

关键词： Actuators Thumb Electronics packaging Grasping Joints Force

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Planning screw insertion trajectory in lumbar spinal fusion using Pre-operative CT images

Planning screw insertion trajectory in lumbar spinal fusion ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： N. Daemi A. Ahmadian A. Mirbagheri A.H. Ahmadian H. Saberi F. Amidi J. Alirezaie Department of Biomedical Engineering and Medical Physics Tehran University of Medical Sciences and Research Centre for Biomedical Technology and Robotics Tehran Iran Department of Mechanical Engineering Sharif University of Technology Tehran Iran Department of Neurosurgery Imam Khomeini Hospital Tehran University of Medical Sciences and Brain and Spinal Injuries Repair Research Center (BASIR)Imam Khomeini Complex Hospital Tehran Iran Department of Anatomy Tehran University of Medical Sciences Tehran Iran Department of Electrical Engineering Ryerson University Toronto Canada

ISBN: (纸本)9781424492695

Spinal fusion permanently connects two or more vertebrae in spine to improve stability, correct a deformity or reduce pain by immobilizing the vertebrae through pedicle screw fixation. Pedicle screws should be inserted very carefully to prevent possible irrecoverable damages to the spinal cord. Surgeons use CT/fluoroscopic images to find how to insert the screws safely. However, there is still human error, as determining precise trajectory in 3D space is difficult because of asymmetric structure of pedicle. In this study we attempt to propose a shape based method to help the surgeons to find the more accurate and safe path for screw insertion that minimizes the risk or invasiveness of the surgery using pre-operative CT images. We extracted two features for insertion paths from CT images, named "safety margin" and "pedicular screw fixation strength". By using weighted k-means different paths were clustered and compared with each other. Results of comparison between those paths obtained from surgeon's pre-operative planning, intra operative and the proposed method proves a great improvement on the rate of success in reaching a suitable insertion trajectory by using our method. It is observed that the risk of damage in intra operative stage can be potentially high and it can be reduced considerably by using the proposed planning approach.

关键词： Pre-operative CT safety margin

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