Multiple sclerosis
385 resources related to Multiple sclerosis
IEEE Organizations related to Multiple sclerosis
Back to TopConferences related to Multiple sclerosis
Back to Top2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications
2018 25th IEEE International Conference on Image Processing (ICIP)
The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.
The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)
The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
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Periodicals related to Multiple sclerosis
Back to TopBiomedical Engineering, IEEE Transactions on
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Computational Intelligence Magazine, IEEE
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.
Engineering in Medicine and Biology Magazine, IEEE
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
Image Processing, IEEE Transactions on
Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.
Information Technology in Biomedicine, IEEE Transactions on
Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.
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Most published Xplore authors for Multiple sclerosis
Back to TopXplore Articles related to Multiple sclerosis
Back to TopThe PSO Algorithm and the Diagnosis of Multiple Sclerosis Using Artificial Neural Networks
[{u'author_order': 1, u'affiliation': u'Dept. of Comput. Sci., Montclair State Univ., Montclair, NJ, USA', u'full_name': u'\xc1ngel Guti\xe9rrez'}] 2014 Annual Global Online Conference on Information and Computer Technology, None
Artificial neural networks with radial basis functions are used to diagnose patients with multiple sclerosis. But the training of this type of network requires a great amount of time. It would be advantageous if we could speed up this training. The Particle Swarm Optimization (PSO) algorithm was previously used in a particular case, but the results were poor. It was ...
Automatic computer-aided detection of Multiple Sclerosis (MS) lesions on MR images
[{u'author_order': 1, u'affiliation': u'Bilgisayar Mühendisliği, SAKARYA Üniversitesi', u'full_name': u'Ziya Ekgi'}, {u'author_order': 2, u'affiliation': u'Nöroloji, BEZMİALEM VAKIF Üniversitesi', u'full_name': u'Muhammed Emin \xd6zean'}, {u'author_order': 3, u'affiliation': u'Nöroloji, BEZMİALEM VAKIF Üniversitesi', u'full_name': u'Ay\u015fe Arala\u015fmak'}, {u'author_order': 4, u'affiliation': u'Bilgisayar Mühendisliği, BİLECİK ŞEYH EDEBALİ Üniversitesi', u'full_name': u'Emre Dandil'}, {u'author_order': 5, u'affiliation': u'Mekatronik Mühendisliği, SAKARYA Üniversitesi', u'full_name': u'Murat \xc7akiro\u011flu'}] 2015 19th National Biomedical Engineering Meeting (BIYOMUT), None
Multiple Sclerosis (MS) is a central nervous system (CNS) disorders resulting from damage to the myelin sheath which helps to ensure the transmission of messages between the brain and spinal cord. MS lesions occur in patients with damage to the myelin sheath. Progression of MS lesions is important for examining the disease. MS lesions often Magnetic Resonance Imaging (MRI) is ...
Feature Reduction and Texture Classification in MRI-Texture Analysis of Multiple Sclerosis
[{u'author_order': 1, u'affiliation': u'School of Biomedical Engineering, Capital University of Medical Sciences, Beijing, China, 100069. Tel: +86-10-8391-1545, Fax: +86-10-8391-1544', u'full_name': u'Jing Zhang'}, {u'author_order': 2, u'affiliation': u'School of Biomedical Engineering, Capital University of Medical Sciences, Beijing, China, 100069. Tel: +86-10-8391-1545, Fax: +86-10-8391-1544', u'full_name': u'Lei Wang'}, {u'author_order': 3, u'affiliation': u'School of Biomedical Engineering, Capital University of Medical Sciences, Beijing, China, 100069. Tel: +86-10-8391-1545, Fax: +86-10-8391-1544, Email: tlzheng@cpums.edu.cn', u'full_name': u'Longzheng Tong'}] 2007 IEEE/ICME International Conference on Complex Medical Engineering, None
The aim of this study was to investigate the performance of texture analysis in texture classification and tissue discrimination between MS lesions, normal appearing white matter (NAWM) and normal white matter (NWM) in order to support early diagnosis of MS. T2-weighted MR images of sixteen relapsing remitting MS (RRMS) patients and sixteen healthy subjects were selected. Based on the lesion ...
EEG Artifact Reduction in VEP Using 2-Stage PCA and N4 Analysis of Alcoholics
[{u'author_order': 1, u'affiliation': u'Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia', u'full_name': u'P. Sharmilakanna'}, {u'author_order': 2, u'full_name': u'R. Palaniappan'}] 2005 3rd International Conference on Intelligent Sensing and Information Processing, None
In this paper, repeated applications of principal component analysis (PCA) are proposed to reduce background electroencephalogram (EEC) artifact from multi- channel and multi-trial visual evoked potential (VEP) signals. This allows single trial analysis of VEP signals. PCA has been used for noise reduction but the method of repeated applications of PCA is novel. In the study here, PCA was applied ...
Classification of Magnetic Resonance brain images by using weighted radial basis function kernels
[{u'author_order': 1, u'affiliation': u'Computer Science Department, Tunghai University, Taichung, 407, Taiwan', u'full_name': u'Ching-Tsorng Tsai'}, {u'author_order': 2, u'affiliation': u'Department of Biomedical, Engineering, Hungkuang University, Taichung, Taiwan', u'full_name': u'Hsian Min Chen'}, {u'author_order': 3, u'affiliation': u'Taichung Veterans General Hospital, and Department of Radiology and China Medical University Hospital, Taichung, Taiwan 407, Taiwan', u'full_name': u'Jyh-Wen Chai'}, {u'author_order': 4, u'affiliation': u'Taichung Veterans General Hospital and Department of Radiology and Central Taiwan University of Science and Technology, Taichung, Taiwan 407, Taiwan', u'full_name': u'Clayton Chi-Chang Chen'}, {u'author_order': 5, u'affiliation': u'Department of Computer Science and Electrical, Engineering, University of Maryland, Baltimore County, Baltimore, MD 2125', u'full_name': u'Chein-I Chang'}] 2011 International Conference on Electrical and Control Engineering, None
The paper proposed a weighted Radial basis function kernel (WRBF) approach that can be used to detect and classify anomalies in Magnetic Resonance (MR) images. A weighted Radial basis function kernel (WRBF) approach, despite the fact that the idea of WRBF kernels can be traced back to the work [1], its application to Radial basis function (RBF) kernel is new. ...
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Educational Resources on Multiple sclerosis
Back to TopIEEE.tv Videos
Handling of a Single Object by Multiple Mobile Robots based on Caster-Like Dynamics 
Arogyaswami J. Paulraj 
Brooklyn 5G - 2015 - Edward G. Tiedemann Jr. - Multiple Antennas in Wireless Systems (MAWS) 
26th Annual MTT-AP Symposium and Mini Show - Ken Kenjale 
Cloud Computing Potential Role in Transforming India 
Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical Systems 
SIMD Programming in VOLK, the Vector-Optimized Library of Kernels 
IMS 2014: Super High Bit Rate Radio Access Technologies for Small Cells Using Higher Frequency Bands 
The Other 5G: 60 GHz Wifi Access / B-Haul Solutions - Arogyaswami Paulraj - Brooklyn 5G Summit 2018 
IEEE WEBINAR SERIES-April 2, 2014 - Understanding Mosfet Parameters: We Do Need Even More Footnotes in Mosfet Datasheets 
Carrier Aggregation Receivers - Shimi Shilo & Dror Regev - RFIC Showcase 2018 
Comparing Modern Multiport VNA vs. Conventional Switch-based VNA: MicroApps 2015 - Keysight Technologies 
IEEE Magnetics 2014 Distinguished Lectures - JONATHAN COKER 
Choosing the Right Connectivity Technology for your IoT Application - Geoff Mulligan - 5G World Forum Santa Clara 2018 
RF as the Differentiator (RFIC 2015 Keynote) 
Fast Broadband Impedance Matching with Automatic Circuit Synthesis: MicroApps 2015 - Keysight Technologies 
Indian Institute of Technology Madras accepts the Spectrum Technology in the Service of Society Award - Honors Ceremony 2017 
Humanitarian Technology Challenge 
2011 IEEE Awards Alexander Graham Bell Medal - Arogyaswami J. Paulraj 
Welcome Address - Ted Rappaport and Amitava Ghosh: Brooklyn 5G Summit 2017 IEEE-USA E-Books
Within the context of healthcare, there has been a long-standing interest in understanding the posture and movement of the human body. Gait analysis work over the years has looked to articulate the patterns and parameters of this movement both for a normal healthy body and in a range of movement-based disorders. In recent years, these efforts to understand the moving body have been transformed by significant advances in sensing technologies and computational analysis techniques all offering new ways for the moving body to be tracked, measured, and interpreted. While much of this work has been largely research focused, as the field matures, we are seeing more shifts into clinical practice. As a consequence, there is an increasing need to understand these sensing technologies over and above the specific capabilities to track, measure, and infer patterns of movement in themselves. Rather, there is an imperative to understand how the material form of these technologies enables them also t be situated in everyday healthcare contexts and practices. There are significant mutually interdependent ties between the fundamental characteristics and assumptions of these technologies and the configurations of everyday collaborative practices that are possible them. Our attention then must look to social, clinical, and technical relations pertaining to these various body technologies that may play out in particular ways across a range of different healthcare contexts and stakeholders. Our aim in this book is to explore these issues with key examples illustrating how social contexts of use relate to the properties and assumptions bound up in particular choices of body-tracking technology. We do this through a focus on three core application areas in healthcare--assessment, rehabilitation, and surgical interaction--and recent efforts to apply body-tracking technologies to them.
Robot-Assisted Neurorehabilitation
This chapter addresses the use of robots to facilitate the recovery of neuromotor functions. Early approaches to robot-based therapy were mostly empirical and limited by the available hardware, designed for industrial applications. More recent applications build on the current understanding of the physiology of the reorganization of the nervous system following a lesion. The chapter focuses on rehabilitation of the upper limb, but similar principles are applicable to the lower limb. It addresses the neuromotor recovery of chronic stroke survivors and examines two case studies in more detail. Then, the chapter discusses the available evidence on the efficacy of robot therapy. Finally, it suggests that robots may be potentially useful in the context of other neurological diseases, for example, multiple sclerosis and cerebral palsy.
Diseases and Injuries of the Central Nervous System Leading to Sensory-Motor Impairment
Damage to the central and peripheral nervous systems is associated with a loss of motor drive and a defective afferent input to the central nervous system (CNS). This chapter starts with a presentation of neuron injury. The injuries are categorized based on the extent and type of damage to the nerve and the surrounding connective tissue. The chapter addresses sensory¿¿-¿¿motor deficits that are caused by neuron injury or disease: (a) cerebrovascular accident (CVA), or stroke, which causes impairments due to changes in blood supply to the brain; (b) spinal cord injuries (SCIs), which result in total or partial obstruction of flow of both sensory and motor information between the peripheral and central nervous systems; (c) nontraumatic disorders of the CNS (amyotrophic lateral sclerosis and multiple sclerosis); and (d) cerebral palsy (CP). Finally, the chapter presents the incidence of CNS diseases.
Propagation of the Action Potential
There are two types of regenerating nerve fibers: unmyelinated and myelinated. Unmyelinated fibers are generally small (diameter up to 0.0013 mm or 0.00005 in.) and have a slow speed [up to 1.5 meters/second (m/s) or 3.2 mph]. Two- thirds of the fibers in the body are of this type; they are used for chores for which low speed is adequate, such as the reporting of pain and temperature. A regenerating axon fires (starts to generate an action potential [AP]) when the voltage across the membrane rises above a threshold level such as 8 mV. The AP propagates like an ocean wave; the conduction speed of an unmyelinated fiber is determined by the forward speed of the wavefront at the 8-mV level. Myelinated fibers are relatively large (diameter up to 0.022 mm or 0.0009 in.) and have a high speed (up to 130 m/s or 290 miles per hour [mph]). They are used for the retrieval and processing of information where high speed is vital. A myelinated fiber is high speed because its membrane is relatively thick, but it is interrupted by nodes at which the AP is regenerated. The conduction speed is determined by the time taken for the AP to reach the 8-mV level from one node to the next. This time is approximately constant, 17 ¿¿s, regardless of nerve fiber diameter. Nonregenerative or weakly regenerative sections of nerve fiber are reflected in lower-than-normal conduction speeds; this is important clinical evidence for nerve dysfunction, such as in multiple sclerosis.
Standards related to Multiple sclerosis
Back to TopNo standards are currently tagged "Multiple sclerosis"