285 resources related to Degenerative diseases
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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
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
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
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.
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.
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.
Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...
Measurements and instrumentation utilizing electrical and electronic techniques.
IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...
2007 IEEE/ICME International Conference on Complex Medical Engineering, 2007
The study of the segmentation of MRI Spine Image is of crucial importance for computer aided medical image identifying and clinical studies of neurological pathology. Computer characterization of a vertebra or disk is of limited clinical value if that structure cannot be accurately segmented and identified. However, Manual operations of tracking these structures are so tedious that automated method of ...
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2006
It is difficult to understand verbal descriptions of visual phenomenon if one has no such experience. Virtual reality offers a unique opportunity to "experience" diminished vision and the problems it causes in daily life. We have developed an application to simulate age-related macular degeneration, glaucoma, protanopia, and diabetic retinopathy in a familiar setting. The application also includes the introduction of ...
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
We developed and validated a new method to create automated 3D parametric surface models of the lateral ventricles, designed for monitoring degenerative disease effects in clinical neuroscience studies and drug trials. First we used a set of parameterized surfaces to represent the ventricles in a manually labeled set of 9 subjects' MRIs (atlases). We fluidly registered each of these atlases ...
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
The Argustrade II 60 channel epiretinal prosthesis has been developed in order to provide partial restoration of vision to subjects blinded from outer retinal degenerative disease. To date the device has been implanted in 21 subjects as part of a feasibility study. In 6 month post-implantation door finding and line tracking orientation and mobility testing, subjects have shown improvements of ...
Proceedings 17th IEEE International Conference on Automated Software Engineering,, 2002
In our study of composite systems, we found a class of requirements that could not be guaranteed to hold. Specifically, these requirements required the environment of the overall system to behave in ways that could not be controlled. The best we could do in such cases was to note the assumptions placed on the environment for the requirements to be ...
Q&A with Chris Berka: IEEE Brain Podcast, Episode 9
Ted Berger: Far Futures Panel - Technologies for Increasing Human Memory - TTM 2018
EMBC 2011-Keynote Lectures and Panel Discussion-PT I-Subra Suresh
Q&A with Dr. Elisa Konofagou: IEEE Brain Podcast, Episode 10
Q&A with Kip Ludwig: IEEE Brain Podcast, Episode 7
Q&A with Sri Sarma: IEEE Brain Podcast, Episode 2
Applying Control Theory to the Design of Cancer Therapy
IEEE Magnetics 2014 Distinguished Lectures - Tim St Pierre
Implantable Wireless Medical Devices and Systems
Brave New Brain-Tech | IEEE TechEthics Panel
The study of the segmentation of MRI Spine Image is of crucial importance for computer aided medical image identifying and clinical studies of neurological pathology. Computer characterization of a vertebra or disk is of limited clinical value if that structure cannot be accurately segmented and identified. However, Manual operations of tracking these structures are so tedious that automated method of spine tracking and segmentation are in high demand. In this paper, a vertebral disks segmentation method is proposed. The method can locate and label the disks through locating the spinal cord with Hough Transform. The efficiency of the proposed method is demonstrated by experiments using real MR images provided by College of Medicine, University of Cincinnati.
It is difficult to understand verbal descriptions of visual phenomenon if one has no such experience. Virtual reality offers a unique opportunity to "experience" diminished vision and the problems it causes in daily life. We have developed an application to simulate age-related macular degeneration, glaucoma, protanopia, and diabetic retinopathy in a familiar setting. The application also includes the introduction of eye anatomy representing both normal and pathologic states. It is designed for patient education, health care practitioner training, and eye care specialist education
We developed and validated a new method to create automated 3D parametric surface models of the lateral ventricles, designed for monitoring degenerative disease effects in clinical neuroscience studies and drug trials. First we used a set of parameterized surfaces to represent the ventricles in a manually labeled set of 9 subjects' MRIs (atlases). We fluidly registered each of these atlases and mesh models to a set of MRIs from 12 Alzheimer's disease (AD) patients and 14 matched healthy elderly subjects, and we averaged the resulting meshes for each of these images. Validation experiments on expert segmentations showed that (1) the Hausdorff labeling error rapidly decreased, and (2) the power to detect disease-related alterations monotonically improved as the number of atlases, N, was increased from 1 to 9. We then combined the segmentations with a radial mapping approach to localize ventricular shape differences in patients. In surface-based statistical maps, we detected more widespread and intense anatomical deficits as we increased the number of atlases, and we formulated a statistical stopping criterion to determine the optimal value of N. Anterior horn anomalies in Alzheimer's patients were only detected with the multi-atlas segmentation, which clearly outperformed the standard single-atlas approach.
The Argustrade II 60 channel epiretinal prosthesis has been developed in order to provide partial restoration of vision to subjects blinded from outer retinal degenerative disease. To date the device has been implanted in 21 subjects as part of a feasibility study. In 6 month post-implantation door finding and line tracking orientation and mobility testing, subjects have shown improvements of 86% and 73%, respectively, for system on vs. system off. In high-contrast square localization tests using a touch screen monitor 87% of tested subjects performed significantly better with the system on compared with off. These preliminary results show that the Argus II system provides some functional vision to blind subjects.
In our study of composite systems, we found a class of requirements that could not be guaranteed to hold. Specifically, these requirements required the environment of the overall system to behave in ways that could not be controlled. The best we could do in such cases was to note the assumptions placed on the environment for the requirements to be met, and then monitor the environment at runtime to detect deviations from our assumptions about its behavior. This paper discusses a short example of carrying out this type of monitoring. It introduces three tools to support requirements monitoring: (1) a tool to capture a requirement formally, (2) a tool to translate that requirement into a runtime specification, and (3) a tool to actually do the runtime monitoring.
In this paper an embedded prototype testing device has been presented that was developed in order to formalize the testing procedure in order to detect the indications of macular degeneration (MD) in the human eye. The basic idea of increased delay time for the diseased eye is exploited in this work and a simple and easy to use prototype has been materialized. In order to make a fully automated early warning system (EWS) to detect the macular degeneration symptoms, this device can be used as the data collection source. At present, this device is being used for clinical testing and collecting the necessary data.
Assessment of the risk for the development of age related macular degeneration requires reliable detection of retinal abnormalities that are considered as precursors of the disease. A typical sign for the latter are the so-called drusen, which appear as abnormal white-yellow deposits on the retina. This paper presents a novel segmentation algorithm for automatic detection of abnormalities in images of the human eye's retina, acquired from a depth- vision camera. Conventional image processing techniques are sensitive to non- uniform illumination and nonhomogeneous background, which obstructs the derivation of reliable results for a large set of different images. Homomorphic filtering and a multilevel variant of histogram equalization are used for non-uniform illumination compensation and enhancement. We develop a novel segmentation technique, the histogram-teased adaptive local thresholding (HALT), to detect drusen in retina images by extracting the useful information without being affected by the presence of other structures. We provide experimental results from the application of our technique to real images, where certain abnormalities (drusen) have slightly different characteristics from the background and are hard to be segmented by other conventional techniques.
The 3D image space defined from the 3-space of CT image data is capable of accurately identifying the anatomy of vertebral bodies. With the recent advances made by highly accurate stereotactic systems, a means of consistently identifying six markers on a vertebral body was implemented and subsequent 3D measurements were ascertained. Three points were used to form two vectors on each body. In turn, the cross product from these two vectors resulted in a third vector orthogonal to the two. This was done for both bodies in the spinal motion segment. The spines were then implanted with two threaded intervertebral fusion cages and the measurements were repeated. The difference between the original lordosis and final lordosis is the reported restored lordosis. Six human cadaver lumbar spines were used to evaluate the restored lordosis through this technique. The final lordosis was found to be statistically larger than the original lordosis and the restored lordosis from these intervertebral cages were found to be 5.8/spl deg//spl plusmn/3.6.
The present study proposed methods of preventing diseases, controlling chronic degenerative diseases and promoting health, which are major concerns of sports medicine. In the proposed methods, we analyzed wu-shu trainees' physical activities scientifically and quantitatively. The amount of physical activities was measured using SenseWear-PRO2-armband developed by body-medai company. The armband includes skin temperature sensor, skin surface temperature sensor, accelerometer, thermal diffusion sensor, and galvanic skin reaction sensor. Obtained data were recorded in the armband. Recorded data were analyzed using inner/view wearer software in terms of skin temperature, calorie consumption and the amount of physical activities. According to the results, those had continued exercise for a long time consumed a lot of energy in a short time, and intensive physical activities increased energy consumption and, at the same time, raised temperature. In addition, our experiment showed that the increase of energy consumption also raised skin temperature, which in turn caused heat flux. What is more, skin conduction appeared not to be affected by factors such as physical activity, energy consumption and skin temperature. The results of this research may provide information useful for preventing cardiovascular diseases, controlling chronic degenerative diseases and ultimately managing health through activating physiological metabolism.
Optical Coherence Tomography (OCT) is a new technique for non-invasive non- contact cross-sectional imaging of the human retina. The authors investigated the relationship between OCT images and visual function in hereditary retinal degenerations. OCTs suggest abnormalities mainly at the level and sclerad to the retinal pigment epithelium and reductions in "retinal" thickness. These findings correlate well with the levels of dysfunction in these retinal regions and are in keeping with expectations from retinal histopathology of postmortem donor tissue. In vivo imaging of retinal structure holds promise as a complement to clinical and visual function evaluations in the diagnosis of retinal degenerations and monitoring of future treatment trials.
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