Spinal cord injury

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A spinal cord injury (SCI) refers to any injury to the spinal cord that is caused by trauma instead of disease. Depending on where the spinal cord and nerve roots are damaged, the symptoms can vary widely, from pain to paralysis to incontinence. Spinal cord injuries are described at various levels of "incomplete", which can vary from having no effect on the patient to a "complete" injury which means a total loss of function. (Wikipedia.org)






Conferences related to Spinal cord injury

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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 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


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 Condition Monitoring and Diagnosis (CMD)

CMD provides a forum for both researchers and experts in power engineering to discuss and share ideas, present results, reflect on past experiences and discuss future projects on the high voltage electric power apparatus monitoring, fault diagnosis and asset management.

  • 2016 International Conference on Condition Monitoring and Diagnosis (CMD)

    The conference will cover the following topics: 1) Evaluation of failure and degradation of power equipment based on CMD; 2) Advanced sensors and diagnosis techniques for smart grid; 3) Strategy planning and asset management for power equipment; 4) Fusion of big data and smart grid control with CMD techniques for power equipment; 5) Insulation structure design and lifetime assessment for HVDC system; 6) Degradation and lifetime assessment of new energy devices for power geneartion and storage.

  • 2012 IEEE International Conference on Condition Monitoring and Diagnosis (CMD)

    Condition monitoring and diagnosis for power equipments and power systems,power plants, dielectric materials and their aging mechanisms, degradation assessment for power system, application of information and communication technologies for condition monitoring and diagnosis, tropical climate and other related issues including recycling, reuse and mitigation,strategic planning and management for condition monitoring and diagnosis.

  • 2008 International Conference on Condition Monitoring and Diagnosis (CMD)

    Condition Monitoring and Diagnosis for Power Plants Condition Monitoring and Diagnosis of HV Power Apparatus and Power System Electrical, Mechanical, Thermal and Chemical Failure Phenomena Dielectric Materials Aging and Failure Mechanism Advanced Sensing Technologies for Condition Monitoring and Diagnosis Application of Artificial Intelligence for Data Mining and Condition Assessment Applications of Information Technology for Asset Management Strategic Planning and Management for Condition Monitoring


2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

(BSN) Body sensor networks increase the opportunity to measure physiology and behaviour outside the clinical setting. Means of communication, on-chip and off-line data processing and proper modelling turn these measurements into useful information. (BHI) is “Informatics for smart, precision and preventive medicine”.

  • 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

    The BSN Conference is an annual event that brings together students, professors, doctors and industry people to discuss the latest trends in wearable body sensors and issues these body sensors are solving

  • 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

    The availability of small, low-cost networked sensors combined with advanced signal processing and information extraction is driving a revolution in physiological monitoring and intervention. Body Sensor Networks (BSN) are enabling technologies for precision healthcare, enhanced sports and fitness training, novel life-style monitoring, and individualized security. The 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2015) will address BSN research and offer participants a unique forum to discuss the key issues and innovative solutions for sensors, communications, algorithms, systems, and applications. The conference features numerous invited lectures by leading academic researchers and industrial experts. On the days before and after the conference, tutorials will be presented, detailing and demonstrating BSN technologies from sensor networks to the algorithms that employ them.

  • 2014 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

    BSN 2014 will provide a unique forum for researchers and industry practitioners to discuss the latest work in various fields utilizing body sensor networks. Building on the success of the previous 10 annual meetings, the 11th BSN conference will be held at ETH Zurich in Zurich, Switzerland and technically co-sponsored by the IEEE EMB Society.

  • 2013 IEEE International Conference on Body Sensor Networks (BSN)

    This conference brings together innovators and leaders from academic, industry, business, and government to provide a forum to discuss ideas, concepts, and experimental results in the following body sensor network topic areas:- Sensors- Communications and networking- Systems and resource management- Algorithms and signal processing- Medical and performance applications

  • 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks (BSN)

    Recent advances in bionics, wireless network and computer technologies have enabled the realisation of miniaturised wireless biosensors for pervasive monitoring. Based on these technologies, the concept of Body Sensor Network has been proposed to improve patient care, chronic disease management, and promote lifelong health and wellbeing for the ageing population.

  • 2010 International Conference on Body Sensor Networks (BSN)

    This conference will address the fast-growing BSN research field, and offers participants a unique forum to discuss the key issues and innovative solutions in current BSN research. The conference will feature a number of invited lectures by leading academic researchers and industrial experts and include a showcase and demonstration of healthcare and other technologies.

  • 2007 Wearable & Implantable Body Sensor Networks Conference (BSN)

  • 2006 Wearable & Implantable Body Sensor Networks Conference (BSN)


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Periodicals related to Spinal cord injury

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Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


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.


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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.


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


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Most published Xplore authors for Spinal cord injury

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Xplore Articles related to Spinal cord injury

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Adaptive Neural Network Control of FES Cycling

[{u'author_order': 1, u'affiliation': u'Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China', u'full_name': u'Peng-Feng Li'}, {u'author_order': 2, u'affiliation': u'Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China', u'full_name': u'Zeng-Guang Hou'}, {u'author_order': 3, u'affiliation': u'Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China', u'full_name': u'Feng Zhang'}, {u'author_order': 4, u'affiliation': u'Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China', u'full_name': u'Yi-Xiong Chen'}, {u'author_order': 5, u'affiliation': u'Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China', u'full_name': u'Xiao-Liang Xie'}, {u'author_order': 6, u'affiliation': u'Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China', u'full_name': u'Min Tan'}, {u'author_order': 7, u'affiliation': u'Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China', u'full_name': u'Hong-Bo Wang'}] 2010 4th International Conference on Bioinformatics and Biomedical Engineering, None

FES cycling is a safe and easy way for the rehabilitation of spinal cord injury (SCI) patients. In order to design an control system for FES cycling, this paper presents a control strategy of the cycling induced by FES. The control system is developed based on artificial neural networks and consists of two layers: the outer layer controls the FES ...


Pressure measurement of air cushions for patients

[{u'author_order': 1, u'affiliation': u'Kibikogen Rehabiliatation Center, Okayama, Japan', u'full_name': u'Y. Tanimoto'}, {u'author_order': 2, u'full_name': u'H. Takechi'}, {u'author_order': 3, u'full_name': u'H. Nagahata'}, {u'author_order': 4, u'full_name': u'H. Yamamoto'}] IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309), None

Pressure sores are a serious problem for patients with spinal cord injuries (SCI). Many kinds of pressure-relieving cushions have been developed to distribute the weight widely. In rehabilitation medicine, the selection of the wheelchair cushion and the adjustment of the cushion are very important problem for the medical staff in prevention of pressure sores. So we propose a radar chart ...


Is Implicit Motor Imagery a Reliable Strategy for a Brain–Computer Interface?

[{u'author_order': 1, u'affiliation': u'Centre for Rehabilitation Engineering, University of Glasgow, Glasgow, U.K.', u'full_name': u'Bethel A. Osuagwu'}, {u'author_order': 2, u'affiliation': u'Centre for Rehabilitation Engineering, University of Glasgow, Glasgow, U.K.', u'full_name': u'Magdalena Zych'}, {u'author_order': 3, u'affiliation': u'Centre for Rehabilitation Engineering, University of Glasgow, Glasgow, U.K.', u'full_name': u'Aleksandra Vuckovic'}] IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017

Explicit motor imagery (eMI) is a widely used brain-computer interface (BCI) paradigm, but not everybody can accomplish this task. Here, we propose a BCI based on implicit motor imagery (iMI). We compared classification accuracy between eMI and iMI of hands. Fifteen able-bodied people were asked to judge the laterality of hand images presented on a computer screen in a lateral ...


Data mining in healthcare information systems: case study of a veterans' administration spinal cord injury population

[{u'author_order': 1, u'affiliation': u'Decision Support Clinical Coordinator, VA Hines Hosp., IL, USA', u'full_name': u'M. R. Kraft'}, {u'author_order': 2, u'full_name': u'K. C. Desouza'}, {u'author_order': 3, u'full_name': u'I. Androwich'}] 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, None

In the following paper the process of knowledge generation from the Veterans Administration healthcare information system is explored. This inquiry is concerned with predicting length of stay of a subset of the total patient population, specifically those with spinal cord injuries (SCI). Although SCI patients do not present large numbers, they are outliers in the healthcare system due to extended ...


Stepping Over Virtual Obstacles with an Actuated Gait Orthosis

[{u'author_order': 1, u'affiliation': u'Sensory-Motor Systems Laboratory, ETH Zurich, e-mail: wellner@mavt.ethz.ch', u'full_name': u'Mathias Wellner'}, {u'author_order': 2, u'affiliation': u'Hocoma AG, Volketswil, Sensory-Motor Systems Laboratory, ETH Zurich', u'full_name': u'Alexander Duschau-Wicke'}, {u'author_order': 3, u'affiliation': u'Sensory-Motor Systems Laboratory, ETH Zurich', u'full_name': u'Joachim von Zitzewitz'}, {u'author_order': 4, u'affiliation': u'Sensory-Motor Systems Laboratory, ETH Zurich, SCI Center, Balgrist University Hospital, Zurich', u'full_name': u'Robert Riener'}] 2007 IEEE Virtual Reality Conference, None

The rehabilitation robot LOKOMAT has been developed at University Hospital Balgrist to automate treadmill training of spinal cord injury and stroke patients. Current rehabilitation training on that robot consists of moving the patient's legs on predefined trajectories. However, this kind of training is not challenging, as patients are moved regardless of their efforts and do not see their advancement. To ...


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No eLearning Articles are currently tagged "Spinal cord injury"

IEEE-USA E-Books

  • The Graph Theoretical Approach in Brain Functional Networks:Theory and Applications

    The present book illustrates the theoretical aspects of several methodologies related to the possibility of i) enhancing the poor spatial information of the electroencephalographic (EEG) activity on the scalp and giving a measure of the electrical activity on the cortical surface. ii) estimating the directional influences between any given pair of channels in a multivariate dataset. iii) modeling the brain networks as graphs. The possible applications are discussed in three different experimental designs regarding i) the study of pathological conditions during a motor task, ii) the study of memory processes during a cognitive task iii) the study of the instantaneous dynamics throughout the evolution of a motor task in physiological conditions. The main outcome from all those studies indicates clearly that the performance of cognitive and motor tasks as well as the presence of neural diseases can affect the brain network topology. This evidence gives the power of reflecting cerebral "s ates" or "traits" to the mathematical indexes derived from the graph theory. In particular, the observed structural changes could critically depend on patterns of synchronization and desynchronization - i.e. the dynamic binding of neural assemblies - as also suggested by a wide range of previous electrophysiological studies. Moreover, the fact that these patterns occur at multiple frequencies support the evidence that brain functional networks contain multiple frequency channels along which information is transmitted. The graph theoretical approach represents an effective means to evaluate the functional connectivity patterns obtained from scalp EEG signals. The possibility to describe the complex brain networks sub-serving different functions in humans by means of "numbers" is a promising tool toward the generation of a better understanding of the brain functions. Table of Contents: Introduction / Brain Functional Connectivity / Graph Theory / High- Resolution EEG / Cortical Networks n Spinal Cord Injured Patients / Cortical Networks During a Lifelike Memory Task / Application to Time-varying Cortical Networks / Conclusions

  • 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

  • Advanced User Interfaces for Upper Limb Functional Electrical Stimulation

    Spinal cord injury (SCI) paralyzes approximately 12,000 people each year in the United States. Individuals with an injury at and above the sixth cervical vertebra (C6) lose function in the upper and lower limbs. To provide greater independence to this population, the restoration of reaching and grasping movements is critically important. Functional electrical stimulation (FES) is currently the only clinical approach for reanimating paralyzed muscles. The chapter starts by reviewing existing technologies for obtaining a control signal that is usable for a FES neuroprosthesis. This is followed by a discussion of the promise that recent advances in brain¿¿-¿¿machine interfaces (BMIs) hold for more natural user interfaces. Differences in the information content of potential signal sources suggest that enhanced control signals may be generated through an efficient combination of the available sources from each individual. Finally, the chapter discusses the relation between off-line decoder accuracy and online user performance.



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