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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 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 17th International Symposium on Biomedical Imaging (ISBI 2020)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation
IEEE/SICE SII is the premier symposium series presenting the state of the art and future perspectives of System integration, where industry experts, researchers, and academics share ideas and experiences surrounding frontier technologies, breakthrough and innovative solutions and applications.2020 IEEE/SICE International Symposium on System Integrations (SII 2020) will be as the 12th symposium on system integration. System integration is one of the key technologies and the integration of hardware and software is especially important to solve the industrial or social system problems in new century. This symposium focuses to the new research and industrial application of system integration, and discusses the approach method to improve effectiveness of system integration.
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
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.
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.
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.
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.
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2006
Non-invasive techniques to explore intracranial compliance and pressure have been extensively explored in recent years. Previous techniques have used expensive technologies to make these measurements, often with difficulty. We present a novel, inexpensive method and algorithm to observe trends in intracranial compliance measurement targeted towards the treatment and management of hydrocephalus. The technique uses two photo-plethysmographic sensors to record arterial ...
Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988
2009 IEEE 35th Annual Northeast Bioengineering Conference, 2009
Processing visual signals from our external world and executing actions based upon that afferent information require contributions of not only cortical regions but also subcortical areas. The brainstem is an essential subcortical region in which neurons related to the transmission of ocular movements reside. Saccadic and vergence eye movements, used throughout our day to acquire visual information, were studied using ...
Proceeding of Southwest Symposium on Image Analysis and Interpretation, 1996
Computer-aided visualization of the brain surface has numerous applications in structural and functional brain mapping for neuroscience, as well as in surgical path planning. Surface visualization of the brain using magnetic resonance (MR) images requires pixels in the images to be discriminated, or segmented into various tissue types. In this work, an automated and efficient method, based on mathematical morphology ...
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
The mean of cardiovascular pressure signals is an important metric in patient monitoring applications for many types of diseases and injuries. It is typically calculated with a moving average of 3-8 s of the pulsatile signal. This method of calculating the mean introduces a delay of 1.5-4 s. We demonstrate that an FIR filter with coefficients calculated with a least ...
Non-invasive techniques to explore intracranial compliance and pressure have been extensively explored in recent years. Previous techniques have used expensive technologies to make these measurements, often with difficulty. We present a novel, inexpensive method and algorithm to observe trends in intracranial compliance measurement targeted towards the treatment and management of hydrocephalus. The technique uses two photo-plethysmographic sensors to record arterial pulse perfusion, a common tilt table apparatus to methodically and artificially increase intracranial pressure, and a digital signal processing algorithm to determine phase difference between the waveforms. A secondary phase-difference disease signature approach is also hypothesized
Processing visual signals from our external world and executing actions based upon that afferent information require contributions of not only cortical regions but also subcortical areas. The brainstem is an essential subcortical region in which neurons related to the transmission of ocular movements reside. Saccadic and vergence eye movements, used throughout our day to acquire visual information, were studied using eight control subjects who participated in four oculomotor experiments with fMRI. There are two main discoveries from this investigation. First, the activity with the brainstem for conveying signals to the cranial nerves can be observed via fMRI. Second, the pontine sites of the brainstem in humans contain not only saccade related signals but also vergence activity.
Computer-aided visualization of the brain surface has numerous applications in structural and functional brain mapping for neuroscience, as well as in surgical path planning. Surface visualization of the brain using magnetic resonance (MR) images requires pixels in the images to be discriminated, or segmented into various tissue types. In this work, an automated and efficient method, based on mathematical morphology and unsupervised clustering analysis, is proposed for segmenting 3-D MR images of the human head. The proposed method provides better rendered views of the brain surface with much less computation time, compared to a previous, direct fuzzy-based approach. The resulting rendered views of the brain surface are shown, as well as the efficiency and error analysis of the proposed methodology.
The mean of cardiovascular pressure signals is an important metric in patient monitoring applications for many types of diseases and injuries. It is typically calculated with a moving average of 3-8 s of the pulsatile signal. This method of calculating the mean introduces a delay of 1.5-4 s. We demonstrate that an FIR filter with coefficients calculated with a least squares error (LSE) estimator can reduce this delay without a clinically significant impact on the accuracy of the displayed signal. Preliminary results with intracranial pressure signals show that the delay can be completely eliminated with a maximum root-mean-square error of approximately 1 mmHg. Reduction or elimination of this delay could permit patient monitors to display the mean in real time and permit clinicians to respond to acute events more rapidly
A mathematical model has been developed to simulate the dynamics of intracranial pressure and cerebral blood flow. This model is based on the hypothesis that during the condition of normal vascular tone a major component of venous blood flow into the superior sagittal sinus is reduced during positive pressure inhalation. In contrast, during loss of vascular tone and massive vasodilation, venous blood flow is not markedly reduced during positive pressure inhalation. A non-linear resistance was used to simulate the pressure dependent behavior of both the resistance of bridging veins into the lateral lacuna and resistance of elements of chordae Willisii along the walls of the sagittal sinus. All parameters of the model were obtained from previously published values or direct calculation using available physiological data and analog simulation. A comparison between the experimentally recorded and simulated intracranial pressure signals demonstrates the possible validity of the model.
Maintaining intracranial pressure (ICP) below 20-25 mmHg is an important clinical goal in the treatment of patients with traumatic brain injury (TBI). It is well known that the partial pressure of arterial CO<sub>2</sub> (PaCO<sub>2</sub>) can affect cerebral blood flow, cerebral blood volume, and therefore ICP. The end-tidal CO<sub>2 </sub> (ETCO<sub>2</sub>) is usually monitored by clinicians as a proxy for PaCO<sub>2</sub>. We show examples where subclinical fluctuations in ETCO<sub>2</sub> are associated with clinically significant fluctuations in ICR We estimated ICP from past and present values of ETCO<sub>2</sub> with a linear estimator. The variance of the ICP residuals was 37 percent of the variance of the ICP signal at frequencies above 0.33 mHz. We suggest that a large proportion of clinically significant ICP fluctuations could be eliminated or reduced if the patients ventilation and CO<sub>2</sub> levels were more tightly regulated
The aim was to evaluate the effect of irradiation on cerebral microvascular permeability and cell adhesion. A cranial window was implanted in anesthetized male Sprague-Dawley rats to visualize the cerebral subpial vessels. Intravital fluorescence microscopy was used to obtain the fluorescent images of cerebral microvessels after i.v injection of FITC-dextran and rhodamine to measure vascular permeability and leukocyte adhesion, respectively. Permeability was determined by measurement of relative fluorescent intensity inside and outside of venules at specific time points after irradiation.
Existing neurosurgical intracranial pressure monitors can only be used in the hospital (usually ICU) setting, and have limited useful life due to drift and infection. Our work aims to develop a reliable and mass-producible MEMS-based microwave intracranial pressure sensor and a simple and portable microwave monitor for the sensor. This will also allow noninvasive monitoring of intracranial pressure.
Image segmentation still requires improvements although there have been research work since the last few decades. This is due to some factors. Firstly, most image segmentation solution is problem-based. Secondly, medical image segmentation methods generally have restrictions because medical images have very similar gray level and texture among the interested objects. The goal of this work is to design a framework to extract simultaneously several objects of interest from computed tomography (CT) images. Our method does not need a large training set or priori knowledge. The learning phase is based on reinforcement learning (RL). The input image is divided into several sub- images, and each RL agent works on it to find the suitable value for each object in the image. Each state in the environment has associated defined actions, and a reward function computes reward for each action of the RL agent. Finally the valuable information is stored in a Q-Matrix, and the final result can be applied in segmentation of new similar images. The experimental results for cranial CT images demonstrated segmentation accuracy above 93%.
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