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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 full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
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.
All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation
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.
2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
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 ...
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.
IEEE Internet of Things Journal, 2016
Device-to-device (D2D) communications are emerging due to the explosive growth of smartphones and tablets. Given the possible presence of attackers, a fundamental challenge in secure D2D communications is to develop sound mobile authentication techniques whereby mobile users can select the most trustworthy D2D communication partners from possibly many candidates. This paper tackles this open challenge and proposes spatiotemporal matching as ...
NDES 2012; Nonlinear Dynamics of Electronic Systems, 2012
Wave instability in active media gives rise to formation of different types of spatial-temporal patterns. Here we discuss patterns which may arise in the vicinity of the wave bifurcation. First we consider patterns which arise due to polymodal interaction right after the wave bifurcation and obtain the conditions for them to occur. Then we suggest the scenario of transition from ...
Proceedings Eighth International Symposium on Temporal Representation and Reasoning. TIME 2001, 2001
A logic for reasoning about dynamic systems should be defined on three levels. The material level is expressed in quantitative terms, the image level defines models in terms of discrete mathematics, and the logic level defines the logical language and deduction system. Consider the problem of guiding a vehicle that has to move within severe spatial constraints. For a simple ...
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Fast processes in cardiac electrophysiology are often studied at temperatures lower than physiological. Extrapolation of values is based on widely accepted Q10 (Arrhenius) model of temperature dependence (ratio of kinetic properties for a 10degC change in temperature). In this study, we set out to quantify the temperature dependence of essential parameters that define spatiotemporal behavior of cardiac excitation. Additionally, we ...
21st International Conference on Data Engineering (ICDE'05), 2005
In this demonstration, we present a database over complex documents, which, in addition to a structured text content, also has update information, annotations, and embedded objects. We propose a new data model called spatiotemporal annotation graphs (STAG) for a database of composite digital objects and present a system that shows a query language to efficiently and effectively query such database. ...
Non-Invasive Techniques for Monitoring Chronic Heart Failure - Harry Silber - IEEE EMBS at NIH, 2019
Fusing Simultaneously Acquired EEG and fMRI to Infer Spatiotemporal Dynamics of Cognition in the Human Brain - IEEE Brain Workshop
JUSTIN M. SHAW - IEEE Magnetics Distinguished Lecture
Superconducting Detectors for Astrophysics and Cosmology - ASC-2014 Plenary series - 9 of 13 - Thursday 2014/8/14
The Vienna LTE-A Dowlink Link-Level Simulator
Sparse Fuzzy Modeling - Nikhil R Pal - WCCI 2016
Device-to-device (D2D) communications are emerging due to the explosive growth of smartphones and tablets. Given the possible presence of attackers, a fundamental challenge in secure D2D communications is to develop sound mobile authentication techniques whereby mobile users can select the most trustworthy D2D communication partners from possibly many candidates. This paper tackles this open challenge and proposes spatiotemporal matching as a promising enabler for secure D2D communications. Spatiotemporal matching is built upon the location-aware capability of D2D devices. In particular, a mobile user could very easily maintain his spatiotemporal profile recording his continuous whereabouts in time, and the level of his spatiotemporal profile matching that of the other user can be translated into the level of trust they two can have in each other. Since spatiotemporal profiles contain very sensitive personal information, privacy-preserving spatiotemporal matching is needed to ensure that as little information as possible about the spatiotemporal profile of either matching participant is disclosed beyond the matching result. Toward this end, we propose two novel privacy-preserving spatiotemporal matching protocols, which are thoroughly analyzed and evaluated through detailed simulation studies driven by experimental data.
Wave instability in active media gives rise to formation of different types of spatial-temporal patterns. Here we discuss patterns which may arise in the vicinity of the wave bifurcation. First we consider patterns which arise due to polymodal interaction right after the wave bifurcation and obtain the conditions for them to occur. Then we suggest the scenario of transition from standing waves to travelling waves with the half-wavelength observed in experiments.
A logic for reasoning about dynamic systems should be defined on three levels. The material level is expressed in quantitative terms, the image level defines models in terms of discrete mathematics, and the logic level defines the logical language and deduction system. Consider the problem of guiding a vehicle that has to move within severe spatial constraints. For a simple version of a cellular ontology, the material level is a 2D surface where vehicles move along trajectories formed from straight-line segments and circular arcs which are each others' tangents at the points of transition. The image level is obtained by dividing the surface into equally-sized cells, which may be, for example, quadratic or hexagonal. For a given cell structure, with a finite set of ports and a finite set of orientations, and allowing also for some restrictions on vehicle movements, we obtain a finite set of possible maneuvers. It is therefore possible to calculate in advance a qualitative information structure that can be used for analyzing and planning the movements of a vehicle in the cellular driving space.
Fast processes in cardiac electrophysiology are often studied at temperatures lower than physiological. Extrapolation of values is based on widely accepted Q10 (Arrhenius) model of temperature dependence (ratio of kinetic properties for a 10degC change in temperature). In this study, we set out to quantify the temperature dependence of essential parameters that define spatiotemporal behavior of cardiac excitation. Additionally, we examined temperature's effects on restitution dynamics. We employed fast fluorescence imaging with voltage-and calcium-sensitive dyes in neonatal rat cardiomyocyte sheets. Conduction velocity (CV), calcium transient duration (CTD), action potential duration (APD) and wavelength (W=CV*duration) change as functions of temperature were quantified. Using 24degC as a reference point, we found a strong temperature-driven increase of CV (Q10=2.3) with smaller CTD and APD changes (Q10=1.33, 1.24, respectively). The spatial equivalents of voltage and calcium duration, wavelength, were slightly less sensitive to temperature with Q10=2.05 and 1.78, respectively, due to the opposing influences of decreasing duration with increased velocity. More importantly, we found that Q10 varies as a function of diastolic interval. Our results indicate the importance of examining temperature sensitivity across several frequencies. Armed with our results, experimentalists and modelers alike have a tool for reconciling different environmental conditions. In a broader sense, these data help better understand thermal influences on arrhythmia development or suppression such as during hibernation or cardiac surgery
In this demonstration, we present a database over complex documents, which, in addition to a structured text content, also has update information, annotations, and embedded objects. We propose a new data model called spatiotemporal annotation graphs (STAG) for a database of composite digital objects and present a system that shows a query language to efficiently and effectively query such database. The particular application to be demonstrated is a database over annotated MS Word and PowerPoint presentations with embedded multimedia objects.
In case of emergency, we need to grasp the situation and make correct assessment quickly. The video data taken from monitoring cameras are important information in the emergent situation. In our research, we built a support system for identifying video data of monitoring cameras. The system collects video data from the net-cameras through the Internet and deals with them as spatiotemporal data. To search video data, we proposed an intuitive search method for users. In the method, we assume a virtual wall in the city. This method allows users to search for the video data, which is recorded during a period, and records a virtual wall in a certain direction. The users set the above search-key on the map, and it will be transformed to the search-key for the spatiotemporal access structure to proceed the search. When the system shows the search result, the video data, which is easy to understand the whole scene, will be displayed first. As the horizontal direction of the screen corresponds to the virtual wall's direction in the real world, the user can narrow down the search result in the horizontal direction of the screen. We built a prototype in Java, Javaservlet and C++.
A comprehensive equation for natural and physical systems including electric and magnetic, mass, and wave interactions has long been an objective of engineers and scientists. Dynamic energy appears to be one possible technique. A method of mathematics is used with curved space vectors which greatly reduces the calculus. The vector relationship between cyclic time and reference time is identified. A diffusion relationship is developed which has the potential for describing the Higgs field. The diffusion is defined in terms of a volume gradient varying with reference time. By judicious definition of dynamic energy, the diffusion is also a direct relationship of electrical charge and magnetism with waves or photons, and mass.
Summary form only given: Congestive heart failure is a leading cause of morbidity and mortality in the United States and worldwide. Although not the only cause of congestive heart failure, loss of myocardium due to obstructive coronary artery disease is a major contributor to this condition. The loss of myocardium is mainly regional and, therefore, localized therapy holds the most promise. In recent years, many clinical studies have been initiated to deliver localized therapy in the form of various cell types for reconstitution of the myocardium. However, there is much debate on the optimal cell type, whether or not stem cells can differentiate into functional myocardium and the long-term effects of these non-myocytes. In addition to exogenous cell delivery, paracrine effects arising from delivery of angiogenic factors and other biochemical agents suggest that the myocardium retains the ability to remodel and heal. Understandably, there has been tremendous focus on both growth factor- and gene therapy-based therapeutics. While a source of great promise, direct growth factor delivery to the myocardium will most likely be inefficient as several studies have noted that many of these small proteins are carried away in the highly vascularized cardiac tissue. Gene therapy, while providing an excellent analytical tool, has not met with enthusiasm clinically, mostly due to the inability to quantify delivery and nonspecific targeting in vivo. This body of work supports two crucial conclusions: (1) appropriate biological cues that act locally on the myocardium can improve functional outcomes, and (2) spatiotemporal control over the delivery and presentation of these cues remains challenging and inefficient. The current body of work on cardiac drug delivery and stem cell therapy support two crucial conclusions: (1) appropriate biological cues that act locally on the myocardium can improve functional outcomes, and (2) spatiotemporal control over the delivery and presentation of these cues remains challenging and inefficient. Using specialized biomaterials, we are able to address this. Our laboratory has used functional nanoparticles to deliver regenerative cues with both spatial and temporal control. By adding biomimetic signals to the surface of the nanoparticles, we are able to enhance nonphagocytic cell uptake, achieve cell-specific targeting, and deliver molecules in a time-controlled manner. Furthermore, by combining our nanoparticles with self-assembling peptide nanofibers, we can achieve some of these in 3D while retaining implanted cells. Following infarction, and during cell differentiation and survival, there are unique sequences of events that contribute to the pathophysiology of the processes. By enhanced understanding of these signals, and the spatiotemporal control needed to deliver them, it will help design better therapeutics for cardiac regeneration. Using high-throughput screening, we have identified several carbohydrates that bind with high affinity to both cardiomyocytes and cardiac progenitor cells. For example, n-acetylglucasmine (GlcNAc) and related sugars bound with high affinity to both of these important cell types. Modification of the sugars with phospholipds allowed incorporation of into hydrophobic nanoparticles with high fidelity. When delivered to cardiomyocytes or cardiac progenitor cells, these biologically- modified nanoparticles enhanced uptake by several fold. In addition to using sugars, we also used metal affinity chromatography chemistry to link Nickel- NTA to the outside of nanoparticles. This not only allowed for conjugation of Histidine-tagged proteins to the outside for temporal delivery, but also allowed for conjugation of cell-specific targeting agents as well. Indeed, when His-VE-Cadherin was used as a model targeting agent, binding and uptake by endothelial cells increased significantly. For cell therapy, incorporation of proper signals to the micoenvironment is critical. One such signal that greatly impacts differentiation is the Notch1 pathway. We were able to immobilize Jagged1, the ligand of Notch1, on to self-assembling peptide nanofibers. Inclusion of this bioactive signal significantly enhanced cardiogenic differentiation. Morever, by including time release nanoparticles, we were able to improve differentiation and survival significantly more, underscoring the need to spatiotemporal control of drug delivery for enhancing cell therapy.
Summary form only given. We have investigated the spatiotemporal behavior excited Xe atoms density in the 1s<sub>5</sub> metastable states by laser absorption spectroscopy and electron temperature by emission spectroscopy, respectively, in accordance with various barrier ribs and xenon contents. The maximum density of excited Xe atoms in the 1s<sub>5</sub> in discharge cell with stripe type and closed type barrier rib have been measured to be 1.28 x 10<sup>13</sup> cm<sup>-3</sup> and 1.45 x 10<sup>13</sup> cm<sup>-3</sup>, respectively. In this experiment, the maximum value of excited Xe atoms density is not different much in different ribs. However, the distribution with spatiotemporal behavior is more uniform in the closed type barrier rib than stripe type rib. Throughout this experiment, we could understand influence of barrier rib and xenon contents on the excited xenon density and electron temperature in micro discharge cell.
The relationship between the spectrum of cardiac signals and the spatial resolution of electrode systems has been previously investigated for highly correlated cardiac dynamics. This relationship is however less understood for partially correlated cardiac dynamics, which can be suitable to model complex arrhythmias such as fibrillation. In this study, we analyze in a 2D simulation environment the spectrum of cardiac signals induced by partially correlated dynamics. We generate cardiac dynamics of different degrees of spatiotemporal correlation and synthesize cardiac signals measured by unipolar electrodes of different spatial resolutions. We quantify the spatial resolution by the lead equivalent volume (LEV) and show that for low LEV values, the bandwidth (BW) is inversely related to the LEV whereas for higher LEV values, the BW saturates. Moreover, the LEV saturation point is lower for lower degrees of spatiotemporal correlation. Our observations could help in devising new techniques for analyzing the spectrum of cardiac signals during complex cardiac arrhythmias.
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