Nervous system

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The nervous system is an organ system containing a network of specialized cells called neurons that coordinate the actions of an animal and transmit signals between different parts of its body. (Wikipedia.org)






Conferences related to Nervous system

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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 Industrial Engineering and Engineering Management (IEEM)

All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.


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 International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


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


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Periodicals related to Nervous system

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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 Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


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.


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Most published Xplore authors for Nervous system

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Xplore Articles related to Nervous system

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A Novel PBPK/PD Model with Automatic Nervous System in Anesthesia

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2006

In terms of the characteristic of anesthetic operation, this paper propose new physiologically based pharmacokinetics/ pharmacodynamics (PBPK/PD) model that focus on the important role of autonomic nervous system (ANS) more. Automatic nervous system that is divided into the sympathetic nervous system and the parasympathetic nervous system, at the same time, is the important target of drug effect in anesthesia. Consequently, ...


Component analysis of heart rate variability spectra and mental load

Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993

None


Work toward real-time control of a cortical neural prothesis

IEEE Transactions on Rehabilitation Engineering, 2000

Implantable devices that interact directly with the human nervous system have been gaining acceptance in the field of medicine since the 1960's. More recently, as is noted by the FDA approval of a deep brain stimulator for movement disorders, interest has shifted toward direct communication with the central nervous system (CNS). Deep brain stimulation (DBS) can have a remarkable effect ...


Monitoring CNS function in the OR and ICU

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1988

The author reviews monitoring of central nervous system (CNS) function in the operating room (OR) and intensive care unit (ICU). He discusses the available devices and the current processing and display techniques. Areas of possible improvement in signal processing, displays, and user interpretation are indicated.<<ETX>>


Frequency-dependent examination of homosynaptic long-term depression in the freely moving rat

Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143), 2000

The strength and direction (LTP or LTD) of synaptic responses (i.e., synaptic plasticity) within the hippocampus resulting from activation of afferent inputs vary depending upon the frequency and pattern of such activation, as well, as, the order in which convergent afferents are activated. Specifically, such stimulation may result in LTP of activated synapses, or, conversely, in LTD of synaptic activity. ...


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Educational Resources on Nervous system

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IEEE-USA E-Books

  • A Novel PBPK/PD Model with Automatic Nervous System in Anesthesia

    In terms of the characteristic of anesthetic operation, this paper propose new physiologically based pharmacokinetics/ pharmacodynamics (PBPK/PD) model that focus on the important role of autonomic nervous system (ANS) more. Automatic nervous system that is divided into the sympathetic nervous system and the parasympathetic nervous system, at the same time, is the important target of drug effect in anesthesia. Consequently, not only does the action levels of automatic nervous system indicator the anesthesia state, but feed back altering the physiological state parameters of pharmacokinetics, which being one crucial reason of time-variant and nonlinear drug effect. However, the recent PBPK modeling and simulation strategy only estimate specific absorption, distribution, metabolism and excretion (ADME) parameters but consider no modulation result of automatic nervous system any longer. So far, in order to avoid over-interpreted data from mathematical models and to take more consideration of clinical significance, the PBPK/PD model with automatic nervous system presented is helpful to make clearer relationship between PK and PD, that between sophisticated of model and real physiological phenomenon in anesthesia than before

  • Component analysis of heart rate variability spectra and mental load

    None

  • Work toward real-time control of a cortical neural prothesis

    Implantable devices that interact directly with the human nervous system have been gaining acceptance in the field of medicine since the 1960's. More recently, as is noted by the FDA approval of a deep brain stimulator for movement disorders, interest has shifted toward direct communication with the central nervous system (CNS). Deep brain stimulation (DBS) can have a remarkable effect on the lives of those with certain types of disabilities such as Parkinson's disease, Essential Tremor, and dystonia. To correct for many of the motor impairments not treatable by DBS (e.g. quadriplegia), it would be desirable to extract from the CNS a control signal for movement. A direct interface with motor cortical neurons could provide an optimal signal for restoring movement. In order to accomplish this, a real-time conversion of simultaneously recorded neural activity to an online command for movement is required. A system has been established to isolate the cellular activity of a group of motor neurons and interpret their movement-related information with a minimal delay. The real-time interpretation of cortical activity on a millisecond time scale provides an integral first step in the development of a direct brain-computer interface (BCI).

  • Monitoring CNS function in the OR and ICU

    The author reviews monitoring of central nervous system (CNS) function in the operating room (OR) and intensive care unit (ICU). He discusses the available devices and the current processing and display techniques. Areas of possible improvement in signal processing, displays, and user interpretation are indicated.<<ETX>>

  • Frequency-dependent examination of homosynaptic long-term depression in the freely moving rat

    The strength and direction (LTP or LTD) of synaptic responses (i.e., synaptic plasticity) within the hippocampus resulting from activation of afferent inputs vary depending upon the frequency and pattern of such activation, as well, as, the order in which convergent afferents are activated. Specifically, such stimulation may result in LTP of activated synapses, or, conversely, in LTD of synaptic activity. The present study was designed to: (1) determine whether stimulation frequencies effective at inducing LTD in vitro and in the anesthetized preparations are also as effective in the freely moving adult rat, and (2) at what frequency does the shift from homosynaptic LTD to LTP occur. Population spike amplitude and EPSP slope measures were recorded in the dentate gyrus following low-frequency stimulation of the lateral perforant pathway at various frequencies during experiments conducted on adult freely moving rats. Preliminary results indicate that LTD can reliably be induced in freely moving animals and that there is a frequency-dependent shift in induction of LTP/LTD.

  • Non-linear Analysis of Cardiac Autonomic Nervous Activity using Principal Dynamic Fluctuation Analysis

    Heart Rate Variability (HRV) is a marker of sympathovagal balance of Autonomous Nervous System (ANS). The homeostasis of the cardiovascular system is properly maintained by the efficient interaction of parasympathetic and sympathetic nervous systems. The efficiency of such interactions is understood from the computations of the ratio of the sympathetic to parasympathetic spectral powers. This paper introduces a modified Principal Dynamic fluctuation analysis (PDFA) using a non-linear kernel trick to estimate the dynamics of cardiac autonomic nervous systems activity from the heart rate variability. It is found that the wide range of beating ratio has better sympathovagal balance. A large LF/HF ratio suggests predominantly vagal conrol. Comparison of this method to the conventional linear methods shows PDFA provide more accurate assessment of the sympathovagal balance. We obtained consistent results in all of our signals, comprising of seven sudden death cardiac signals and five normal sinus rhythm signals.

  • Characterization of upper motor neuron dysfunction: motor control profile

    None

  • Comments on "Characteristics of randomly connected threshold-element networks and network systems"

    None

  • Presentation session: Neuroanatomy, neurogeneration, and modeling: “Relating optical signals induced by infrared neural stimulation to electrophysiology”

    Infrared neural stimulation (INS) is well characterized for the peripheral nervous system; however, translation to the central nervous system (CNS) presents a new set of challenges which require us to consider different anatomy, multiple cell types, and the physiology associated with structures in the CNS. This study represents the first attempt to translate INS to in vivo stimulation of the CNS. The results from this study show that INS generates intrinsic optical signals of similar magnitude and shape associated with well characterized mechanical stimuli. Electrophysiology analysis indicates INS evokes inhibitory responses in rat somatosensory cortex. The implications of this work could lead to neural implants which allows for single cell stimulation making it possible to design closed loop neural prosthetics.

  • Life-like learning in technical artefacts: biochemical vs. neuronal mechanisms

    Learning in technical artefacts is based on programming tools, like artificial neural nets. These tools still restrict the individual development of an artefact too much. To allow a proper unrestricted development in changing environments, new principles have to be applied in the construction of technical artefacts. In order to study elementary mechanisms of learning and associated factors, we draw on two biological examples. The study of unicellular biochemical networks can help to detect regularities, which are also present on higher levels of evolution. Imprinting, as a form of individual learning, is based on mechanisms, which show the evolutionary rules of stochasticity, selection and reproducibility on the level of cell tissues. The differences and analogies of biochemical and neural networks show elementary mechanism and principles as well as missing factors for the construction of programming tools in technical artefacts.



Standards related to Nervous system

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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 Nervous system

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