Conferences related to Nerve fibers

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & 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


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


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Periodicals related to Nerve fibers

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


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.


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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.


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Most published Xplore authors for Nerve fibers

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Xplore Articles related to Nerve fibers

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Blind source separation of nerve cuff recordings

Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), 2003

Nerve cuff Electrodes record an aggregate signal from a nerve comprised of several fascicles. Recovering individual fascicular signals could be important for the control of prosthetic devices. Blind Source Separation methods have been designed for recovering individual source signals from multi-channel recordings of a mixture of multiple sources. Here, we present a simulation study of the feasibility of applying Blind ...


Synchronization Index of Neural Spike Trains in Response to Simulated Vowel Signal Stimuli in the Presence of a Pseudo-spontaneous Activity

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

This article presents a statistical analysis of neural spike trains in an auditory nerve fiber (ANF) model stimulated extracellularly by simulated vowel electric stimuli under the case where a high-rate pulsatile waveform is presented as a conditioner for increasing the across-fiber-independency, i.e., desynchronization. In the computer simulation, stimulus current waveforms were presented repeatedly to a stimulating electrode located 1 mm ...


Engineering three-dimensional nervous tissue constructs based on fiber-gel substrates

Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC), 2010

Three-dimensional (3D) nervous tissue constructs were developed using a compliant gel matrix and a fiber component for promoting contact-guided axon outgrowth. Rat embryonic (E15) dorsal root ganglion expiants (DRGs) were cultured on biodegradable poly-L-lactic acid (PLLA) and wet-spun type I collagen fibers embedded in soft collagen gels. Gel constructs containing fibers induced greater axon outgrowth distances with significantly more directionality ...


The importance of using multiple styles of generalization

Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

There are many ways for a learning system to generalize from training set data. There is likely no one style of generalization which will solve all problems better than any other style, for different styles will work better on some applications than others. The authors present several styles of generalization and use them to suggest that a collection of such ...


A 3D Self-Adjust Region Growing Method for Axon Extraction

2007 IEEE International Conference on Image Processing, 2007

Neuron axon analysis is an important means to investigate disease mechanisms and signaling pathways in neurobiology and often requires collecting a great amount of statistical information and phenomena. Automated extraction of axons in 3D microscopic images posts a key problem in the field of neuron axon analysis. To address tortuous axons in 3D volumes, a self-adjust region growing approach referring ...


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Educational Resources on Nerve fibers

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IEEE-USA E-Books

  • Blind source separation of nerve cuff recordings

    Nerve cuff Electrodes record an aggregate signal from a nerve comprised of several fascicles. Recovering individual fascicular signals could be important for the control of prosthetic devices. Blind Source Separation methods have been designed for recovering individual source signals from multi-channel recordings of a mixture of multiple sources. Here, we present a simulation study of the feasibility of applying Blind Source Separation (BSS) to recover fascicular signals from multiple contact nerve cuff electrodes. Spontaneous neuroelectric activities and their recordings are simulated. Hyvarinen's FastICA algorithm, a popular method for BSS, combined with a correlation analysis is used for separation. The ability of the method to separate the fascicular signals was estimated by measuring the correlation between the input and output signals. In 25 random trials with different signals the mean value of the correlation coefficient was 0.86 (/spl plusmn/ 0.15 S.D.). Although all signals were recovered every time, the algorithm was not able to determine the origin of the signals. The BSS procedure permutes separated signals randomly.

  • Synchronization Index of Neural Spike Trains in Response to Simulated Vowel Signal Stimuli in the Presence of a Pseudo-spontaneous Activity

    This article presents a statistical analysis of neural spike trains in an auditory nerve fiber (ANF) model stimulated extracellularly by simulated vowel electric stimuli under the case where a high-rate pulsatile waveform is presented as a conditioner for increasing the across-fiber-independency, i.e., desynchronization. In the computer simulation, stimulus current waveforms were presented repeatedly to a stimulating electrode located 1 mm above the 26th node of Ranvier, in an ANF axon model having 50 nodes of Ranvier, each consisting of stochastic sodium and potassium channels. From spike firing times recorded at the 36th node of Ranvier, the raster plots were depicted to explore the temporal precision and reliability of spike trains. Then the period histograms were generated to obtain the synchronization index defined using Shannon's entropy as a distance between the period histogram and the vowel electric stimuli. In the present article, it is shown that at a specific amplitude of simulated vowel waveforms, the possibility to encode the vowel signals with various amplitudes became greater, as well as the synchronization index was found to be maximized. It was implied that setting the amplitude of vowel signals to the specific values which maximize the synchronization index might contribute to efficiently encoding information on vowel formants under the high-rate pulsatile stimulation in cochlear prostheses

  • Engineering three-dimensional nervous tissue constructs based on fiber-gel substrates

    Three-dimensional (3D) nervous tissue constructs were developed using a compliant gel matrix and a fiber component for promoting contact-guided axon outgrowth. Rat embryonic (E15) dorsal root ganglion expiants (DRGs) were cultured on biodegradable poly-L-lactic acid (PLLA) and wet-spun type I collagen fibers embedded in soft collagen gels. Gel constructs containing fibers induced greater axon outgrowth distances with significantly more directionality along the aligned fibers. Interestingly, wet-spun type I collagen from rat tail tendon displayed a highly aligned outgrowth pattern from DRG axons suggesting potential use for peripheral nerve repair.

  • The importance of using multiple styles of generalization

    There are many ways for a learning system to generalize from training set data. There is likely no one style of generalization which will solve all problems better than any other style, for different styles will work better on some applications than others. The authors present several styles of generalization and use them to suggest that a collection of such styles can provide more accurate generalization than any one style by itself. Empirical results of generalizing on several real-world applications are given, and comparisons are made on the generalization accuracy of each style of generalization. The empirical results support the hypothesis that using multiple generalization styles can improve generalization accuracy.<<ETX>>

  • A 3D Self-Adjust Region Growing Method for Axon Extraction

    Neuron axon analysis is an important means to investigate disease mechanisms and signaling pathways in neurobiology and often requires collecting a great amount of statistical information and phenomena. Automated extraction of axons in 3D microscopic images posts a key problem in the field of neuron axon analysis. To address tortuous axons in 3D volumes, a self-adjust region growing approach referring to surface modeling and self-adjustment which takes advantage of the nature of axon (e.g., continuity), is presented. Experimental results on axon volumes show that the proposed scheme provides a reliable solution to axon retrieving and overcomes several common drawbacks from other existing methods.

  • Artificial neural net based controller using interfaces to the peripheral nervous system

    Two artificial neural net (ANN) based controllers using interfaces to the peripheral nervous system are presented. The aim of the paper is to show the ANNs' capability to interact with the biological nervous system for control purposes. First, we present a system for controlling a limb prostheses by means of biological nerve signals. Recordings of nerve signals done by regeneration type neurosensors interfacing the peripheral nerve system are processed by ANNs in order to control a commercial available hand prostheses. The second system presented is the inverse of the presented controller above. In this case, the aim of the controller is the restoration of lost hand function for disabled persons Here, the ANN is the kernel of a closed loop control calculating stimulation patterns for the peripheral nerve system in order to evoke hand movements related to the patient's intent.

  • Lab-on-a-chip devices for cell biology studies

    Microtechnology offers the attractive possibility of modulating the microenvironment of single cells and, for the same price, obtain data at high throughput for a small cost. Microfluidic or "Lab on a Chip" devices, in particular, promise to play a key role for several reasons: 1) the dimensions of microchannels can be comparable to or smaller than a single cell; 2) the unique physicochemical behavior of liquids confined to microenvironments enables new strategies for delivering compounds to cells on a subcellular level; 3) the devices consume small quantities of precious/hazardous reagents (thus reducing cost of operation/disposal); and 4) the can be mass-produced in low-cost, portable units. Not surprisingly, in recent years there has been an eruption of microfluidic implementations of a variety of traditional bioanalysis techniques. I will review the latest efforts of our laboratory in the development of cell-based microdevices for cell biology studies, such as neuromuscular synaptogenesis, axon guidance, and chemotaxis.

  • The FEM analysis of the peroneal nerve stimulation in hemiplegia

    We present details of the modeling, design, and evaluation of single-channel implantable system with a half cuff for monopolar selective stimulation of the common peroneal nerve in hemiplegia. For this purpose, an activating and total equivalent driving function for 12 /spl mu/m nerve fibers located at six positions within the nerve were calculated by the finite element method (FEM).

  • An asynchronous pulse neural network model and its analog IC implementation

    Prototype neuron and axon circuits for the asynchronous pulse neural network model are fabricated with 1.2 /spl mu/m CMOS technology and tested. The neuron circuit can function as both of a coincidence detector and an integrator. These opposite neuronal functions can be controlled by changing the internal time constants through the external voltages. The axon circuit, which mimics axonal, dendritic and synaptic delays, realizes pulse delay. The delay time can be continuously controlled by the external voltage.

  • Neuron function: the mystery persists

    There are currently three primary models of how neurons function, each with its uses and variations, according to James McClelland, a professor of psychology and computer science at Carnegie Mellon University and codirector of the Center for Neural Basis of Cognition. The first and simplest is the integrate-and-fire model, which is based on the idea that the neuron adds and subtracts excitatory and inhibitory inputs until it reaches a threshold, at which point it fires a single impulse or action potential. Another model is the sigmoid transfer function, in which the neuron adds up excitatory and inhibitory inputs (as in the integrate-and-fire model) but treats the output as a continuous quantity. Finally, in the sigma-pi unit model, a neuron's output is equal to the sum of many products, each consisting of a multiplication of several inputs.



Standards related to Nerve fibers

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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 Nerve fibers

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