Central nervous system

View this topic in
The central nervous system (CNS) is the part of the nervous system that integrates the information that it receives from, and coordinates the activity of, all parts of the bodies of bilaterian animals—that is, all multicellular animals except sponges and radially symmetric animals such as jellyfish. (Wikipedia.org)






Conferences related to Central nervous system

Back to Top

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)

Neural Engineering

  • 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural Engineering is an emerging core discipline,which coalesces neuroscience with engineering.Members of both the Neuroscience and Engineering Communities areencouraged to attend this highly multidisciplinarymeeting. The conference will highlight the emergingengineering innovations in the restoration andenhancement of impaired sensory, motor, andcognitive functions, novel engineering for deepeningknowledge of brain function, and advanced designand use of neurotechnologies

  • 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problemsassociated with neural dysfunction including the representation of sensory and motor information, theelectrical stimulation of the neuromuscular system to control the muscle activation and movement, theanalysis and visualization of complex neural systems at multi -scale from the single -cell and to the systemlevels to understand the underlying mechanisms, the development of novel neural prostheses, implantsand wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction including the representation of sensory and motor information, the electrical stimulation of the neuromuscular system to control the muscle activation and movement, the analysis and visualization of complex neural systems at multi-scale from the single-cell and to the system levels to understand the underlying mechanisms, the development of novel neural prostheses, implants and wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2011 5th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2007 3rd International IEEE/EMBS Conference on Neural Engineering

  • 2005 2nd International IEEE/EMBS Conference on Neural Engineering

  • 2003 1st International IEEE/EMBS Conference on Neural Engineering


2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

Cluster Computing, Grid Computing, Edge Computing, Cloud Computing, Parallel Computing, Distributed Computing


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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 Chinese Control And Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2017 29th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2016 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2015 27th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2014 26th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2013 25th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2012 24th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies

  • 2009 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2008 Chinese Control and Decision Conference (CCDC)


More Conferences

Periodicals related to Central nervous system

Back to Top

Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


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.


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


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.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


More Periodicals

Most published Xplore authors for Central nervous system

Back to Top

Xplore Articles related to Central nervous system

Back to Top

Quadratic time-frequency distribution selection for seizure detection in the newborn

[{u'author_order': 1, u'affiliation': u"Centre for Clinical Research, University of Queensland, Royal Brisbane and Women's Hospital, Herston 4029, QLD, Australia", u'full_name': u'N. Stevenson'}, {u'author_order': 2, u'affiliation': u"Centre for Clinical Research, University of Queensland, Royal Brisbane and Women's Hospital, Herston 4029, QLD, Australia", u'full_name': u'M. Mesbah'}, {u'author_order': 3, u'affiliation': u"Centre for Clinical Research, University of Queensland, Royal Brisbane and Women's Hospital, Herston 4029, QLD, Australia", u'full_name': u'B. Boashash'}] 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, None

Several, recently proposed, newborn EEG seizure detection techniques use quadratic time-frequency distributions (QTFDs) to generate the time-frequency representations (TFRs) at their core. The specific type of QTFD that provides the best discrimination between the TFR of nonseizure and seizure epochs of EEG, however, has yet to be thoroughly investigated. This paper proposes the selection of an optimal QTFD that maximises ...


Automated single channel seizure detection in the neonate

[{u'author_order': 1, u'affiliation': u'Department of Electrical & Electronic Engineering, University College Cork, Ireland', u'full_name': u'B. R. Greene'}, {u'author_order': 2, u'affiliation': u'Department of Paediatrics and Child health, University College Cork, Ireland', u'full_name': u'G. B. Boylan'}, {u'author_order': 3, u'affiliation': u'Department of Electrical & Electronic Engineering, University College Cork, Ireland', u'full_name': u'W. P. Marnane'}, {u'author_order': 4, u'affiliation': u'Department of Electrical & Electronic Engineering, University College Cork, Ireland', u'full_name': u'G. Lightbody'}, {u'author_order': 5, u'affiliation': u"Department of Clinical Neurophysiology, St. Vincent's University Hospital, Dublin, Ireland", u'full_name': u'S. Connolly'}] 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, None

Neonatal seizures are the most common neurological emergency in the neonatal period and are associated with poor long-term outcome. EEG is considered the gold standard for identification of all neonatal seizures, reducing the number of EEG electrodes required would reduce patient handling and allow faster acquisition of data. A method for automated neonatal seizure detection based on two carefully chosen ...


Functional error assessment in gait event discrimination for FES-assisted locomotion

[{u'author_order': 1, u'affiliation': u'Fac. of Rehabilitaton Med., Alberta Univ., Edmonton, Alta., Canada', u'full_name': u'A. Kostov'}] Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, None

Discrimination of gait events is required for control of functional electrical stimulation (FES) used to assist with locomotion after lesions in the central nervous system. The authors have previously demonstrated that adaptive logic networks (ALNs) can be used in gait event discrimination (GED) and automatic design of control algorithms for FES-assisted locomotion. Machine learning techniques for supervised learning generalize well ...


Knowledge-based prehension: capturing human dexterity

[{u'author_order': 1, u'affiliation': u'Sch. of Eng. & Sci., Hartford Graduate Center, CT, USA', u'full_name': u'T. Iberall'}, {u'author_order': 2, u'affiliation': u'Sch. of Eng. & Sci., Hartford Graduate Center, CT, USA', u'full_name': u'J. Jackson'}, {u'author_order': 3, u'affiliation': u'Sch. of Eng. & Sci., Hartford Graduate Center, CT, USA', u'full_name': u'L. Labbe'}, {u'author_order': 4, u'affiliation': u'Sch. of Eng. & Sci., Hartford Graduate Center, CT, USA', u'full_name': u'R. Zampano'}] Proceedings. 1988 IEEE International Conference on Robotics and Automation, None

A major question facing the development of sophisticated robotics systems is how to capture the functionality seen in versatile living systems. An approach that has proven useful in designing complex systems is to capture the explicit constraints in a knowledge based system. A knowledge-based planning system under development is reported which attempts to capture the versatility of human prehension. The ...


Molecular Imaging of Central Nervous System with Multi-modal Nonlinear Optical Microscopy

[{u'author_order': 1, u'affiliation': u'Weldon School of Biomedical Engineering, Institute for Applied Neurology, Center for Paralysis Research, Purdue University, West Lafayette, Indiana 47907. Email: wangh@ecn.purdue.edu', u'full_name': u'Haifeng Wang'}, {u'author_order': 2, u'affiliation': u'Weldon School of Biomedical Engineering, Institute for Applied Neurology, Center for Paralysis Research, Purdue University, West Lafayette, Indiana 47907.', u'full_name': u'Yan Fu'}, {u'author_order': 3, u'affiliation': u'Weldon School of Biomedical Engineering, Institute for Applied Neurology, Center for Paralysis Research, Purdue University, West Lafayette, Indiana 47907; Department of Basic Medical Sciences, Institute for Applied Neurology, Center for Paralysis Research, Purdue University, West Lafayette, Indiana 47907.', u'full_name': u'Riyi Shi'}, {u'author_order': 4, u'affiliation': u'Weldon School of Biomedical Engineering, Institute for Applied Neurology, Center for Paralysis Research, Purdue University, West Lafayette, Indiana 47907; Department of Chemistry, Institute for Applied Neurology, Center for Paralysis Research, Purdue University, West Lafayette, Indiana 47907. Email: jcheng@purdue.edu', u'full_name': u'Ji-Xin Cheng'}] 2007 Conference on Lasers and Electro-Optics (CLEO), None

Coherent anti-Stokes Raman scattering (CARS) and sum-frequency generation (SFG) microscopy are combined on the same platform. Simultaneous SFG imaging of astroglial filaments and CARS imaging of myelin sheath in spinal cord are shown.


More Xplore Articles

Educational Resources on Central nervous system

Back to Top

eLearning

No eLearning Articles are currently tagged "Central nervous system"

IEEE-USA E-Books

  • Central Nervous System Tissue Engineering: Current Considerations and Strategies

    Combating neural degeneration from injury or disease is extremely difficult in the brain and spinal cord, i.e. central nervous system (CNS). Unlike the peripheral nerves, CNS neurons are bombarded by physical and chemical restrictions that prevent proper healing and restoration of function. The CNS is vital to bodily function, and loss of any part of it can severely and permanently alter a person's quality of life. Tissue engineering could offer much needed solutions to regenerate or replace damaged CNS tissue. This review will discuss current CNS tissue engineering approaches integrating scaffolds, cells and stimulation techniques. Hydrogels are commonly used CNS tissue engineering scaffolds to stimulate and enhance regeneration, but fiber meshes and other porous structures show specific utility depending on application. CNS relevant cell sources have focused on implantation of exogenous cells or stimulation of endogenous populations. Somatic cells of the CNS are rarely utilized for tissue engineering; however, glial cells of the peripheral nervous system (PNS) may be used to myelinate and protect spinal cord damage. Pluripotent and multipotent stem cells offer alternative cell sources due to continuing advancements in identification and differentiation of these cells. Finally, physical, chemical, and electrical guidance cues are extremely important to neural cells, serving important roles in development and adulthood. These guidance cues are being integrated into tissue engineering approaches. Of particular interest is the inclusion of cues to guide stem cells to differentiate into CNS cell types, as well to guide neuron targeting. This review should provide the reader with a broad understanding of CNS tissue engineering challenges and tactics, with the goal of fostering the future development of biologically inspired designs. Table of Contents: Introduction / Anatomy of the CNS and Progression of Neurological Damage / Biomaterials for Scaffold Preparation / Cel Sources for CNS TE / Stimulation and Guidance / Concluding Remarks

  • 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.

  • Robust Adaptive Dynamic Programming as A Theory of Sensorimotor Control

    Many tasks that humans perform in our everyday life involve different sources of uncertainties. However, it is interesting and surprising to notice how the central nervous system (CNS) can gracefully coordinate our movements to deal with these uncertainties. This chapter studies sensorimotor control with static and dynamic uncertainties under the framework of robust adaptive dynamic programming (RADP). The linear version of RADP is extended for stochastic systems by taking into account signal¿¿¿dependent noise, and the proposed method is applied to study the sensorimotor control problem with both static and dynamic uncertainties. Results presented in the chapter suggest that the CNS may use RADP¿¿¿like learning strategy to coordinate movements and to achieve successful adaptation in the presence of static and/or dynamic uncertainties. In the absence of dynamic uncertainties, the learning strategy reduces to an ADP¿¿¿like mechanism.

  • Muscle Coordination, Motor Synergies, and Primitives from Surface EMG

    To investigate neural control strategies, muscle activity must be measured during motor behavior. Recent advances in the investigation of the neural control of movement have led to a re-examination of the mechanisms of sensorimotor integration in the central nervous system (CNS) and in the spinal circuitry in particular. This chapter considers different approaches used to uncover the modular organization of the motor output in human behaviors such as responding to postural perturbations, reaching with the arm, and locomotion, as well as its plasticity and flexibility in movement disorders. It also investigates the strategies that the CNS employs to coordinate the activation of many muscles start from electromyographic (EMG) signals recorded simultaneously from many muscles. Different muscle synergies models are used to decompose the EMG envelopes using appropriate factorization algorithms. The chapter further considers the spatiotemporal organization of the activity patterns of leg and trunk muscles during locomotion.

  • Neural Control of Movement

    This chapter contains sections titled: 2.1 Bioelectric Signal Transmission in the Nervous System, 2.2 Information Processing in the Nervous System, 2.3 Peripheral Sensory Receptors, 2.4 Functional Control of Movement by the Central Nervous System, 2.5 Summary

  • Functional Electrical Therapy of Upper Extremities

    This chapter describes functional electrical therapy (FET) systems that relate to the methods used in recovery of upper limb functioning in humans with a sensory¿¿-¿¿ motor lesion in the central nervous system (CNS) that impacts reaching and grasping. FET functionally assists the user while the sensory feedback associated with the performance of the activities contributes to the relearning process of the brain. This functional sensory feedback should be maximized both in intensity and duration and should not be limited to short clinical training sessions. During the therapy period, a FET system can be provided to each stroke patient for use during his or her daily activities, thus resulting in intensive training. FET allows patients to train performing functional movements and learn new strategies of optimal use of preserved sensory¿¿-¿¿motor mechanism. This training could be understood as the process of recalibration of the natural control system.

  • Development of a Testbed for Robotic Neuromuscular Controllers

    Current control approaches to robotic legged locomotion rely on centralized planning and tracking or motion pattern matching. Central control is not available to robotic assistive devices that integrate with humans, and matching predefined patterns severely limits user dexterity. By contrast, biological systems show substantial legged dexterity even when their central nervous system is severed from their spinal cord, indicating that neuromuscular feedback controls can be harnessed to encode stability, adaptability, and maneuverability into legged systems. Here we present the initial steps to develop a robotic gait testbed that can implement and verify neuromuscular controls for robotic assistive devices. The initial stage consists of an antagonistically actuated two segment leg with a floating compliant joint. We detail its electromechanical design and low level, velocity-based torque control. Additionally, we present experiments that test the leg's performance during human-like high fidelity motions. The results show that the robot can track fast motions corresponding to 87% of the maximum performance limit of human muscle. The experiments also reveal limitations of our current implementation and we discuss solutions to overcoming them.

  • Operant Conditioning of Spinal Reflexes for Motor Rehabilitation after CNS Damage

    Spinal reflex behaviors can be changed through operant conditioning, in which modification of a behavior is brought about by the consequence of that behavior. Spinal reflex conditioning can be used to change a spinal reflex pathway so as to ameliorate movement disabilities due to central nervous system (CNS) damage. This chapter demonstrates that operant conditioning can increase or decrease the soleus H-reflex in neurologically intact people, and investigates whether down-conditioning can reduce abnormal soleus H-reflex excitability in people with incomplete SCI and can thereby alleviate spastic gait. Finally, operant conditioning protocols that focus on modifying EEG activity over sensorimotor cortex might conceivably provide an additional approach to improving cortical control of motor function.

  • The Challenge of Information Balance in the Age of Affluent Communication

    This chapter contains sections titled: * Introduction * Quantitative Aspects of Information Overload * Qualitative Aspects of Information Overload * Conclusion * A Call for Fundamental Research * References * Xerox Takes on Information Overload * Identifying the Problem * Sharing Information * Sorting Information * Cutting Through the Clutter * Life-Saving Software * Urban Central Nervous System

  • Operational Aspects of Some Fundamental Concepts of Human Communication

    This chapter contains sections titled: The Subjective Aspect, The Operational Effect of Information, The Central Nervous System, The Physical Representation of the Perceived World, Meaning, Relevance, The Communication Process, Conclusion, Postscript



Standards related to Central nervous system

Back to Top

IEEE Standard for Safety Levels With Respect to Human Exposure to Electromagnetic Fields, 0-3 kHz

Develop safety levels for human exposure to electromagnetic fields from 0 to 3kHz. This standard will be based on the results of an evaluation of the relevant scientific literature and proven effects which are well established and for which thresholds of reaction are understood. Field limits will be derived from threshold current densities or internal electric fields.



Jobs related to Central nervous system

Back to Top