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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.
The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
The conference provides an overview of the state of the art developments and innovations in Antennas, Propagation, and Measurements, highlighting the latest requirements for future applications.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
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 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 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.
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
1999 IEEE Ultrasonics Symposium. Proceedings. International Symposium (Cat. No.99CH37027), 1999
Several mechanisms are postulated to be responsible for acoustically-induced hemostasis. Both mechanical and thermal aspects of ultrasound energy are thought to play a role. Thermal effects may be important when tissue shrinkage is necessary to close a bleeding site. A moderate temperature rise may also accelerate clotting when hypothermia and coagulopathy is present. Tissue welding via collagen restructuring may be ...
 Proceedings Computers in Cardiology, 1991
Spontaneous, self-sustained arterial blood pressure oscillations (APO; Mayer- rhythm) were studied in dogs exposed to hypotension, hemorrhage, hypoxia, or cerebral ischemia. Frequency spectra analysis of APO revealed a large amplitude (15-30 mmHg), low frequency (0.04-0.06 Hz) component. Higher frequency peaks (f>0.1 Hz) of much lower power amplitude were associated with respiratory activity. These experimental pathophysiologic states resulted in the loss ...
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
The objective of this research is to provide an ophthalmologist with a helpful system, capable of classifying a degree of patients' retinal haemorrhage. The system is composed of four modules: 1) data acquisition module, 2) image database module, 3) image processing module, and 4) image classification module. The system was trained with a modular neural network on a set of ...
2006 International Conference on Communications, Circuits and Systems, 2006
In this paper, a micro electronic device was presented, which can acquire multiple information of gastrointestinal tract, for instances cavity pressure, temperature and bleeding condition et al. Biotelemetry was used to communicate between internal and external body. For strict restriction of space and power, the low consumption circuits were elaborately designed. Some experiments proved the good performance of this micro ...
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991, 1991
Several mechanisms are postulated to be responsible for acoustically-induced hemostasis. Both mechanical and thermal aspects of ultrasound energy are thought to play a role. Thermal effects may be important when tissue shrinkage is necessary to close a bleeding site. A moderate temperature rise may also accelerate clotting when hypothermia and coagulopathy is present. Tissue welding via collagen restructuring may be promoted via a thermal effect. The mechanical effects of streaming and radiation pressure may assist in stopping the flow of blood out of a wound and, if directed properly, may cause insertion of blood vessel wall material into a breached region to plug the hole, and aid the natural clotting mechanism. Streaming may provide shearing forces on platelets, facilitating their activation for subsequent aggregation and adhesion to the vessel wall. Cavitation may produce tissue disruption that exposes collagen and tissue factors to platelets thus assisting in triggering clotting. These mechanisms are discussed, and supportive evidence given.
Spontaneous, self-sustained arterial blood pressure oscillations (APO; Mayer- rhythm) were studied in dogs exposed to hypotension, hemorrhage, hypoxia, or cerebral ischemia. Frequency spectra analysis of APO revealed a large amplitude (15-30 mmHg), low frequency (0.04-0.06 Hz) component. Higher frequency peaks (f>0.1 Hz) of much lower power amplitude were associated with respiratory activity. These experimental pathophysiologic states resulted in the loss of broadband frequency spectra (observed in control studies) and the emergence of dominant bifurcating narrowband APO rhythms. The periodicities observed implicate a CNS-mediated neural pacemaker (i.e. sympathetic overdrive) in arterial pressure oscillations.<<ETX>>
The objective of this research is to provide an ophthalmologist with a helpful system, capable of classifying a degree of patients' retinal haemorrhage. The system is composed of four modules: 1) data acquisition module, 2) image database module, 3) image processing module, and 4) image classification module. The system was trained with a modular neural network on a set of 25 images, and tested on a set of 160 images. A training performance of greater than 95% was achieved. The classifying part of the system showed 79% recognition accuracy. Since the testing images were taken from independent sources, we assume that the system should also provide an accurate classification of other image types.
In this paper, a micro electronic device was presented, which can acquire multiple information of gastrointestinal tract, for instances cavity pressure, temperature and bleeding condition et al. Biotelemetry was used to communicate between internal and external body. For strict restriction of space and power, the low consumption circuits were elaborately designed. Some experiments proved the good performance of this micro device. The multi- information acquiring system is of much significance for gastrointestinal disease diagnose.
Currently available tomographic image reconstruction schemes for optical tomography (OT) are mostly based on the limiting assumptions of small perturbations and a priori knowledge of the optical properties of a reference medium. Furthermore, these algorithms usually require the inversion of large, full, ill-conditioned Jacobian matrixes. In this work a gradient-based iterative image reconstruction (GIIR) method is presented that promises to overcome current limitations. The code consists of three major parts: (1) A finite-difference, time-resolved, diffusion forward model is used to predict detector readings based on the spatial distribution of optical properties; (2) An objective function that describes the difference between predicted and measured data; (3) An updating method that uses the gradient of the objective function in a line minimization scheme to provide subsequent guesses of the spatial distribution of the optical properties for the forward model. The reconstruction of these properties is completed, once a minimum of this objective function is found. After a presentation of the mathematical background, two- and three-dimensional reconstruction of simple heterogeneous media as well as the clinically relevant example of ventricular bleeding in the brain are discussed. Numerical studies suggest that intraventricular hemorrhages can be detected using the GIIR technique, even in the presence of a heterogeneous background.
The percutaneous nephrolithotomy is a minimally invasive surgery that is employed to remove larger stones (calculi) in the kidney. This technique places a nephroscope into the kidney through a small tract set after a small incision in the patients back. During the tract positioning, there are risks of kidney bleeding and of injury of other organs near the kidney such as the bowels, spleen or lever. In order to minimize this risks a preoperative planning helps for the choice of the best kidney calyx target and for the definition of the optimal track to reach this target. Our study is focused on the development of a computer tool that will help establishing the preoperative planning on patient specific data. Especially, this tool allows defining interactively and visually the optimal track on a 3D volume data acquired on the patient, simulating the effect on the anatomy of the real passageway and finally gives the necessary information back to the surgeon in order to transpose during the intervention the defined optimal track.
Gastrointestinal (GI) bleeding detection plays an essential role in wireless capsule endoscopy (WCE) examination. In this paper, we present a new approach for WCE bleeding detection that combines handcrafted (HC) features and convolutional neural network (CNN) features. Compared with our previous work, a smaller-scale CNN architecture is constructed to lower the computational cost. In experiments, we show that the proposed strategy is highly capable when training data is limited, and yields comparable or better results than the latest methods.
An improved current bleeding CMOS mixer is designed in this paper. The conversion gain of the mixer is increased and the flicker noise of the mixer is reduced by inserting the inductor to form resonant circuit with parasitic capacitors of the source ports of the switch transistors in Gilbert mixer. The mixer is designed by using SMIC 0.18 um CMOS process. The simulated results show that the mixer proposed has a 1.76 dB increase of conversion gain, 2.1 dBm improvement of IIP3, 0.5 dB decrease of noise figure with local power of -3 dBm as compared with the mixer before inserting the inductor.
We demonstrate how sigmoidal fuzzification affects discriminant capacities. In particular, we study the preprocessing perceptron and compare it with the multilayer perceptron. Case studies are selected from the medical domain, where output performance needs to be related to requirements for high sensitivities. These smaller and more informative networks tend also to be more robust with respect to accuracy with various requirements on sensitivities.
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