Conferences related to Neurostimulation

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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 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE International Solid- State Circuits Conference - (ISSCC)

ISSCC is the foremost global forum for solid-state circuits and systems-on-a-chip. The Conference offers 5 days of technical papers and educational events related to integrated circuits, including analog, digital, data converters, memory, RF, communications, imagers, medical and MEMS ICs.


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Periodicals related to Neurostimulation

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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 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.


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.


Device and Materials Reliability, IEEE Transactions on

Provides leading edge information that is critical to the creation of reliable electronic devices and materials, and a focus for interdisciplinary communication in the state of the art of reliability of electronic devices, and the materials used in their manufacture. It focuses on the reliability of electronic, optical, and magnetic devices, and microsystems; the materials and processes used in the ...


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Most published Xplore authors for Neurostimulation

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Xplore Articles related to Neurostimulation

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Designing an apparatus for behavioral testing in awake rodents during brain stimulation

2018 11th Biomedical Engineering International Conference (BMEiCON), 2018

Neurostimulation technologies have been shown to be effective in promoting recovery, alleviating disease symptoms, and enhancing quality of life in different neurological diseases and injuries. There is growing interest in developing neurostimulation as visual prosthetics for diseases that ultimately lead to visual impairments. However, evidence shows that the implantation of electrodes in the visual cortex, retina, and optic nerve which ...


Noninvasive neurostimulation on mice by 5 MHz ultrasound

2016 IEEE International Ultrasonics Symposium (IUS), 2016

Ultrasound has been demonstrated to be an effective approach for noninvasive neurostimulation. Low frequency ultrasound (<;1 MHz) is preferable as its low ultrasonic attenuation when passing through the skull. High frequency ultrasound is able to provide reduced size of focal region. However, the performance of stimulation with high frequency ultrasound is not proved yet. This study examines the feasibility and ...


Assessment of the Complex Refractive Indices of Xenopus Laevis Sciatic Nerve for the Optimization of Optical (NIR) Neurostimulation

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018

Despite an increasing interest in the use of light for neural stimulation, there is little information on how it interacts with neural tissue. The choice of wavelength in most of the optical stimulation literature is based on already available light sources designed for other applications. This paper is the first one to report the complex refractive index of the sciatic ...


Application of track membranes in electrodes for electrical neurostimulation

2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON), 2015

In this paper original technology of electrode production with track membrane materials for electrical neurostimulation is described. Presented results show that the technology allows one to produce conducting structures with gas-and water-permeability in places of unfilled pores by metal. The created electrodes also have antiseptic properties.


Understanding biological vision repairment using neurostimulation

2014 International Conference on Computing for Sustainable Global Development (INDIACom), 2014

Blindness is the most serious ailment that people suffer. The main motive to build Bionic eye is to copy human eye neural circuit, it aims at restoring the lookout vision to people living with blindness and low vision. In this paper a fuzzy adaptive visual processing method is used to get the function similar to neurostimulator. This technology helps to ...


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Educational Resources on Neurostimulation

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IEEE.tv Videos

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IEEE-USA E-Books

  • Designing an apparatus for behavioral testing in awake rodents during brain stimulation

    Neurostimulation technologies have been shown to be effective in promoting recovery, alleviating disease symptoms, and enhancing quality of life in different neurological diseases and injuries. There is growing interest in developing neurostimulation as visual prosthetics for diseases that ultimately lead to visual impairments. However, evidence shows that the implantation of electrodes in the visual cortex, retina, and optic nerve which are the primary targets for visual-based neurostimulation, can induce tissue damage unspecific stimulation and low perceptual spatial resolution to reproduce original images. We have recently developed an innovative, non-invasive method to control cellular function using the electromagnetic-perceptive gene (EPG). This magnetogenetic-based technology complements the existing arsenal of neurostimulation technologies and provides a novel approach for cell-specific, temporal-specific, location-specific and non-invasive neurostimulation. We worked towards developing an apparatus that will allow for behavioral testing in awake rats during magnetogenetic stimulation of the visual cortex. We designed and built a new behavioral rodent apparatus that provides direct and controlled contact with the head using non-conductive and non-ferrous materials. This apparatus allows the rat to press one of two levers depending on visual cues and magnetogenetic stimulation. In addition, this new apparatus will allow for testing of behavioral responses to cortical stimulation controlled by other neurostimulation devices, including non-invasive brain stimulation, optogenetics, ultrasound, and electrodes in awake, restrained rats.

  • Noninvasive neurostimulation on mice by 5 MHz ultrasound

    Ultrasound has been demonstrated to be an effective approach for noninvasive neurostimulation. Low frequency ultrasound (<;1 MHz) is preferable as its low ultrasonic attenuation when passing through the skull. High frequency ultrasound is able to provide reduced size of focal region. However, the performance of stimulation with high frequency ultrasound is not proved yet. This study examines the feasibility and effectiveness of using high frequency, i.e. 5 MHz, focused ultrasound to perform the neurostimulation on mice. The acoustic properties of 1 MHz and 5 MHz ultrasound on mouse skull were evaluated by a 3D acoustic scanning system. By performing proper acoustic compensation, 1 MHz and 5 MHz ultrasound can present the same acoustic intensity level after passing the skull. They were used to do the brain stimulation with same group of mice. Electromyography (EMG) signals collected from tail muscles and videos of motion responses were analyzed for the evaluation of neurostimulation. The results illustrated that 5 MHz ultrasound can successfully achieve the neurostimulation by monitoring the EMG and motion responses. The equivalent diameter (D) of stimulus for 5 MHz is significantly smaller than that of 1 MHz. Focused ultrasound with higher frequency can provide smaller size of stimulation region, which offers precise control of the neurostimulation in a non-invasive manner.

  • Assessment of the Complex Refractive Indices of Xenopus Laevis Sciatic Nerve for the Optimization of Optical (NIR) Neurostimulation

    Despite an increasing interest in the use of light for neural stimulation, there is little information on how it interacts with neural tissue. The choice of wavelength in most of the optical stimulation literature is based on already available light sources designed for other applications. This paper is the first one to report the complex refractive index of the sciatic nerve of Xenopus laevis, which is a crucial parameter for identifying the optimal wavelength of optical stimuli. The Xenopus laevis neural tissue is the most widely used tissue type in peripheral neurostimulation studies. In this paper, the reflectance (R) and the transmittance (T) of the sciatic nerve were measured over a wavelength range of 860-2250 nm, and the corresponding real (n) and the imaginary (k) refractive indices were calculated using appropriate formulae in a novel way. The reported n values were between 1.3-1.44 and the k values are of the order of 10-5 over the full wavelength range. The absorption coefficient α was found to be 100-500 cm-1. Several localized wavelength ranges were identified that can offer a maximized power coupling between potential optical stimuli and the neural tissue (1150-1200 nm, 1500-1700 nm, and 1900-2050 nm). The narrower regions of 1400-1600 nm and 1850-2150nm were found to exhibit maximized absorbance. Separately, three regions were identified, where the penetration depths are the greatest (950-1000 nm, 1050-1350 nm, and 1600-1900 nm). This paper provides, for the first time, the fundamental specifications for optimizing the parameters of optical neurostimulation systems.

  • Application of track membranes in electrodes for electrical neurostimulation

    In this paper original technology of electrode production with track membrane materials for electrical neurostimulation is described. Presented results show that the technology allows one to produce conducting structures with gas-and water-permeability in places of unfilled pores by metal. The created electrodes also have antiseptic properties.

  • Understanding biological vision repairment using neurostimulation

    Blindness is the most serious ailment that people suffer. The main motive to build Bionic eye is to copy human eye neural circuit, it aims at restoring the lookout vision to people living with blindness and low vision. In this paper a fuzzy adaptive visual processing method is used to get the function similar to neurostimulator. This technology helps to restore vision to blind people by linking Information Technology and Biotechnology and providing stimulation of visual cortex of brain electrically. It describes the formulation of artificial vision system and gives the working of neurostimulation model of artificial silicon retina, and overcomes the drawbacks of system available at present. At the end the strategy is applied to the real bionic eye system based on the model and the performance of the system is measured with the help of lot of experiments which conforms the vision to blind people.

  • Seizure Suppression Efficacy of Closed-Loop Versus Open-Loop Deep Brain Stimulation in a Rodent Model of Epilepsy

    We assess and compare the effects of both closed-loop and open-loop neurostimulation of the rat hippocampus by means of a custom low-power programmable therapeutic neurostimulation device on the suppression of spontaneous seizures in a rodent model of epilepsy. Chronic seizures were induced by intraperitoneal kainic acid injection. Two bipolar electrodes were implanted into the CA1 regions of both hippocampi. The electrodes were connected to the custom-built programmable therapeutic neurostimulation device that can trigger an electrical stimulation either in a periodic manner or upon detection of the intracerebral electroencephalographic (icEEE) seizure onset. This device includes a microchip consisting of a 256-channel icEEG recording system and a 64-channel stimulator, and a programmable seizure detector implemented in a field-programmable gate array (FPGA). The neurostimulator was used to evaluate seizure suppression efficacy in ten epileptic rats for a total of 240 subject-days (5760 subject-hours). For this purpose, all rats were randomly divided into two groups: the no-stimulation group and the stimulation group. The no-stimulation group did not receive stimulation. The stimulation group received, first, closed-loop stimulation and, next, open- loop stimulation. The no-stimulation and stimulation groups had a similar seizure frequency baseline, averaging five seizures per day. Closed-loop stimulation reduced seizure frequency by 90% and open-loop stimulation reduced seizure frequency by 17%, both in the stimulation group as compared to the no- stimulation group.

  • Square-shaped glass microlens array for fiber-optic neurostimulation

    We present a square glass microlens array for the improvement of light transfer efficiency of the fiber-optic neural probe. Optimal design has been derived using finite element analysis and fabricated microlens array has been analyzed.

  • Experimental Identification of the Locus of Interaction Between Low-Energy UltraSound and the Nervous System of Lumbricus Terrestris During the Phenomenon of Neurostimulation

    The interest for ultrasound neurostimulation and potential medical applications keep increasing, but few models are currently available to study the biophysical mechanisms at the preclinical level. In the present work, we aim to demonstrate the interest of an earthworm model of giant neurons to study the phenomenon of Low Energy UltraSound (LEUS)neurostimulation.

  • Development of back-end process integration for implantable neurostimulation application

    In recent years, biomedical electronics devices have attracted more and more attention. Electrostimulation devices for neural diseases require electroactive and biocompatible interface materials to transmit signals and to protect surrounding tissues at the same time. The traditional process of bio- chip package is hermetically sealed by biocompatible materials. However, the electrodes on the microchip must be exposed to contact with neuron tissues to interact and to transmit signals. Therefore, the back-end processes for the neurostimulation devices require integrating electrode deposition and biocompatible packaging. In this work, we developed back-end processes including electrode deposition by sputtering, biocompatible packaging by CVD, surface treatments, photolithography, and RIE. This study demonstrated a possible solution for novel neurostimulation implants. We also characterized the surface morphology, chemical composition, optical properties by optical microscope, scanning electron microscope, energy dispersive X-ray spectroscopy, atomic force microscope and alpha-step. The reliability was evaluated with an accelerated stability test by soaking microchips at 57 °C for 20 days which was equivalent to 80 days at 37 °C.

  • Feasibility and main mechanisms underlying in vivo ultrasound neurostimulation of the ventral nerve cord's giant axons of lumbricus terrestris

    Biomedical focused ultrasound (US) could represent a new modality of neurostimulation overcoming the limitations of current techniques in terms of invasiveness and spatial resolution. While it has already been proven that low energy US can stimulate nervous activity at the systemic level, little is known regarding the biophysical mechanisms underlying this phenomenon. In this in vivo study, we intended firstly to prove the feasibility of generating US- induced nervous responses in a model of earthworm giant axons. Secondly, this nervous model was used to investigate the biological mechanisms responsible for US neurostimulation. Following a hypothesis of a cavitation-induced phenomenon proposed in previous studies, we used a confocal US device driven with US sequences specifically designed to induce cavitation (f = 1.1 MHz, Ncycles/pulse = 44 - 88, PRF = 32 - 250 Hz, Npulses/train = 76, TRF = 0.25 Hz). In vivo neural responses, constitued of trains of action potentials (APs) could be triggered by US along the lateral giant fibers (LGF) using acoustic pressures ranging from 5.8 to 14.3 MPa. These levels of pressure and the associated radiation forces are repeatable effects, while the observed phenomenon of US neurostimulation was not. Cavitation is a complex and random phenomenon, and the acoustic signatures recorded by hydrophone confirmed that identical ultrasound burst could induce very different bubbles cloud in the vicinity of the targeted nerve. These first results suggest that, in these experimental conditions, cavitation rather than radiation force is the main biophysical mechanism underlying ultrasound neurostimulation. Moreover, according to our observations, there is no direct causal link between a single US pulse and a single AP. APs should not be studied individually, but as a group, or a serial of subgroups, triggered by a train of US pulses.



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