Multiple sclerosis

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Multiple sclerosis (abbreviated MS, also known as disseminated sclerosis or encephalomyelitis disseminata) is an inflammatory disease in which the fatty myelin sheaths around the axons of the brain and spinal cord are damaged, leading to demyelination and scarring as well as a broad spectrum of signs and symptoms. (Wikipedia.org)






Conferences related to Multiple sclerosis

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2013 ICME International Conference on Complex Medical Engineering (CME)

The objective of CME 2013 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The objective of CME 2012 is to provide a forum for researchers, educators,engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2012 ICME International Conference on Complex Medical Engineering (CME)

    The aim of the conference is to bring together researchers, engineers and practitioners from diverse fields to stimulate future research and development of new theory, approaches, and tools in the field of Complex Medical Engineering.

  • 2011 ICME International Conference on Complex Medical Engineering - CME 2011

    The objective of CME 2011 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of biomedical engineering to disseminate their latest research results and exchange views on the future research directions of these fields.

  • 2010 ICME International Conference on Complex Medical Engineering - CME 2010

    TBD

  • 2009 ICME International Conference on Complex Medical Engineering - CME 2009

    The aim of CME 2009 is to bring together researchers and practitioners from diverse fields to promote scientific research and industrial development in the field of complex medical engineering. The conference will consist of workshops, special sessions, tutorials and keynote presentations from renowned experts.

  • 2007 IEEE/ICME International Conference on Complex Medical Engineering - CME 2007


2012 International Conference on Information and Automation (ICIA)

Information, automation, and related areas.


2007 4th IEEE/EMBS International Summer School and Symposium on Medical Devices and Biosensors (ISSS-MDBS 2007)



Periodicals related to Multiple sclerosis

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Biomedical 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.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.


Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Rehabilitation aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation, and hardware and software applications for rehabilitation engineering and assistive devices.




Xplore Articles related to Multiple sclerosis

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An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis

A. Akselrod-Ballin; M. Galun; R. Basri; A. Brandt; M. J. Gomori; M. Filippi; P. Valsasina 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), 2006

We present a novel multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility in detecting multiple sclerosis lesions in 3D MRI data. Our method uses segmentation to obtain a hierarchical decomposition of a multi-channel, anisotropic MRI scan. It then produces a rich set of features describing the segments in terms ...


Minimising tremor in a joystick controller using fuzzy logic

B. J. van der Zwaag; D. Corbett; L. Jain 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410), 1999

We have designed and built a fuzzy logic controller which minimises the effect of multiple sclerosis (MS) hand tremors. The aim of our project has been to give people with MS better control of an electric wheelchair by removing tremors from the joystick signal. The system intercepts the signal from the joystick and then passes it through the fuzzy logic ...


Unsupervised global optimization: applications on classification of handwritten digits and visual evoked potentials

E. Micheli-Tzanakou; T. J. Dasey [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics, 1992

The authors discuss the optical recognition of handwritten unconnected numerals and visual evoked potential (VEP) classification using two neural network learning paradigms. The first is an unsupervised approach, trained by the combinatorial optimization routine ALOPEX, while the second method uses the backpropagation algorithm. The unsupervised ALOPEX trained system classifies 1000 training digits to an accuracy of 86.3%, and 500 generalizing ...


A Multimodal data fusion approach efficiently predicts disease duration in multiple sclerosis

Ava Sheikhi Shoshtari; Sue-Jin Lin; Martin J. McKeown; Z. Jane Wang 2016 International Joint Conference on Neural Networks (IJCNN), 2016

Magnetic Resonance Imaging (MRI) biomarkers of multiple sclerosis (MS), particularly fluid-attenuated inversion-recovery (FLAIR) sequences, have long been investigated. However, advanced analytical methods, capable of fusing results from different MRI modalities, could be more informative to have enabled joint biomarkers. Here we estimate disease duration (DD) in MS subjects (n=47) based on fusion of information from Myelin Water Imaging (MWI), Diffusion ...


Classification of disease subgroup and correlation with disease severity using magnetic resonance imaging whole-brain histograms: application to magnetization transfer ratios and multiple sclerosis

J. Dehmeshki; G. J. Barker; P. S. Tofts IEEE Transactions on Medical Imaging, 2002

This paper presents a new approach to characterize subtle diffuse changes in multiple sclerosis (MS) using histograms derived from magnetization transfer ratio (MTR) images. Two major parts dominate our histogram analysis; (1) Classification of MTR histograms into control and MS subgroups; (2) Correlation with current disability, as measured by the EDSS scale (a measure of disease severity). Two data reduction ...


More Xplore Articles

Educational Resources on Multiple sclerosis

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eLearning

An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis

A. Akselrod-Ballin; M. Galun; R. Basri; A. Brandt; M. J. Gomori; M. Filippi; P. Valsasina 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), 2006

We present a novel multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility in detecting multiple sclerosis lesions in 3D MRI data. Our method uses segmentation to obtain a hierarchical decomposition of a multi-channel, anisotropic MRI scan. It then produces a rich set of features describing the segments in terms ...


Minimising tremor in a joystick controller using fuzzy logic

B. J. van der Zwaag; D. Corbett; L. Jain 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410), 1999

We have designed and built a fuzzy logic controller which minimises the effect of multiple sclerosis (MS) hand tremors. The aim of our project has been to give people with MS better control of an electric wheelchair by removing tremors from the joystick signal. The system intercepts the signal from the joystick and then passes it through the fuzzy logic ...


Unsupervised global optimization: applications on classification of handwritten digits and visual evoked potentials

E. Micheli-Tzanakou; T. J. Dasey [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics, 1992

The authors discuss the optical recognition of handwritten unconnected numerals and visual evoked potential (VEP) classification using two neural network learning paradigms. The first is an unsupervised approach, trained by the combinatorial optimization routine ALOPEX, while the second method uses the backpropagation algorithm. The unsupervised ALOPEX trained system classifies 1000 training digits to an accuracy of 86.3%, and 500 generalizing ...


A Multimodal data fusion approach efficiently predicts disease duration in multiple sclerosis

Ava Sheikhi Shoshtari; Sue-Jin Lin; Martin J. McKeown; Z. Jane Wang 2016 International Joint Conference on Neural Networks (IJCNN), 2016

Magnetic Resonance Imaging (MRI) biomarkers of multiple sclerosis (MS), particularly fluid-attenuated inversion-recovery (FLAIR) sequences, have long been investigated. However, advanced analytical methods, capable of fusing results from different MRI modalities, could be more informative to have enabled joint biomarkers. Here we estimate disease duration (DD) in MS subjects (n=47) based on fusion of information from Myelin Water Imaging (MWI), Diffusion ...


Classification of disease subgroup and correlation with disease severity using magnetic resonance imaging whole-brain histograms: application to magnetization transfer ratios and multiple sclerosis

J. Dehmeshki; G. J. Barker; P. S. Tofts IEEE Transactions on Medical Imaging, 2002

This paper presents a new approach to characterize subtle diffuse changes in multiple sclerosis (MS) using histograms derived from magnetization transfer ratio (MTR) images. Two major parts dominate our histogram analysis; (1) Classification of MTR histograms into control and MS subgroups; (2) Correlation with current disability, as measured by the EDSS scale (a measure of disease severity). Two data reduction ...


More eLearning Resources

IEEE-USA E-Books

  • 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.

  • 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.

  • 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 µs, 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

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No standards are currently tagged "Multiple sclerosis"


Jobs related to Multiple sclerosis

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