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检索条件"任意字段=Conference on Visualization in Biomedical Computing"

共 893 条记录，以下是301-310 订阅

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Designing Wearable Sensor-Based Analytics for Quantitative Mobility Assessment

Designing Wearable Sensor-Based Analytics for Quantitative M...

引用

International conference on Smart computing (SMARTCOMP)

作者： Gina Sprint Diane J. Cook Douglas L. Weeks School of Electrical Engineering and Computer Science Washington State University Pullman WA St. Luke's Rehabilitation Institute Spokane WA

Wearable sensors are gaining traction in various healthcare domains, including patient mobility assessment performed in rehabilitation environments. Typically, clinical observations by therapists are used to characterize patient movement abilities and progress. More precise quantitative measurements of patient performance can be collected with wearable inertial sensors. Highly useful quantitative information and visual presentations of wearable sensor data are critical in gaining therapist acceptance of the technology and improving the therapy experience for patients. To bridge the gap between design of mobility monitoring technology and actual use of the technology, we report responses from interviews conducted with physical therapy providers at an inpatient rehabilitation facility. The information presented during the interviews includes results from our wearable sensor-based mobility assessment algorithms. Our smart computing algorithms utilize wearable sensor data to extract patient movement metrics, train clinical assessment prediction models, and visualize the data. The interview results indicate therapy providers are interested in using wearable sensors and wearable sensor- based metrics, prediction tools, and visualizations while they provide therapy services for their patients. Based on therapist feedback, we suggest future research directions that may increase the clinical utility and adoption of wearable sensor systems and data visualization for mobility assessment.

关键词： Wearable sensors Medical treatment Data visualization Interviews biomedical monitoring

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Rehabilitación física a partir de interacción basada en movimiento

Rehabilitación física a partir de interacción basada en m...

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Colombian conference on computing (CCC)

作者： José Antonio Fernandez-Valls Alberto Mora Plata Víctor M. R. Penichet María D. Lozano Juan Enrique Garrido Universidad de Castilla-La Mancha Ciudad Real Castilla-La Mancha ES

The physical rehabilitation of patients is changing with the arrival of new technologies that allow the motion capture of patients. This is a great advance that facilitates the constant repetition of exercises with a correct monitoring of possible errors, guides patients to perform exercises correctly, avoids costly and uncomfortable daily movements, facilitates the adaptation of the tool to the type of exercise, the needs of the patient and their evolution, and lastly, allows to have an adequate record of the patients daily activities. The rehabilitation physician or physiotherapist can define in a virtual way the exercises that will arrive at the patient's home in real time for execution. In this paper we present SIVIRE, a comprehensive tool for the editing, monitoring and guidance of physical rehabilitation exercises.

关键词： Monitoring biomedical monitoring visualization Computer science Three-dimensional displays Computers Games

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Regional conduction velocity calculation based on local activation times: A simulation study on clinical geometries

Regional conduction velocity calculation based on local acti...

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Computers in Cardiology (CinC)

作者： Bhawna Verma Axel Loewe Armin Luik Claus Schmitt Olaf Dössel Karlsruhe Institute of Biomedical Engineering Karlsruhe Institute of Technology Karlsruhe Germany Städtisches Klinikum Karlsruhe Karlsruhe Germany

ISBN: (纸本)9781509008964

Atrial arrhythmia is the most common cardiac arrhythmia. Parameters such as conduction velocity (CV), CV restitution etc. are under analysis in order to understand the cardiac arrhythmias. A number of methods have been proposed for CV calculation in simulation as well as clinical environments. Regional CV gives the information about the magnitude and direction of the propagating depolarization wavefronts on the atrium with homogeneous and heterogeneous tissue. The CV in different regions can provide important quantitative electrophysiological information about the underlying tissue. In this work the regional CV has been calculated using simulated local activation times (LAT) on clinical atrial geometries. Regions with homogeneous and heterogeneous propagation were manually selected for LAT simulation and later the regional CV has been calculated. The calculated CV for both the homogeneous and heterogeneous cases for all the clinical cases have been visualized on the atrial geometries. The visualization of the CV on the atrium represents insight into the regional behavior of the atrial substrate. The benefit of the region-specific study in clinical context is that it could enable the localization of critical sites in the patient specific atrial anatomies. Thus, this could aid physicians in cardiac therapies.

关键词： Geometry Three-dimensional displays Mathematical model Substrates visualization Data visualization Estimation

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Classification of Alzheimer's disease in MRI using visual saliency information

Classification of Alzheimer's disease in MRI using visual sa...

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Colombian conference on computing (CCC)

作者： Julian Camilo Daza Andrea Rueda Department of Systems Engineering Pontificia Universidad Javeriana Bogota Colombia

Computational visual atention models aims to emulate the Human Visual System performance in selecting relevant features for efficient visual scene processing. As a result, visual saliency maps highlights relevant visual patterns in an image, possibly associated with objects or specific concepts. In the analysis of medical images, this allows the radiologist or clinical expert to focus the attention on image anormalities or specific patterns that could suggest the presence of a pathology. This paper presents an initial exploration of the effect of visual saliency models in the extraction of pathology-related relevant patterns, suitable for classification of Magnetic Resonance images of normal controls and probable Alzheimer's disease patients. By adjusting the saliency models to work on medical images, and combining this process with a Support Vector Machine for classification, the preliminar results shows a maximum performance of 85% in accuracy and 0.9 in the area under the ROC curve. In comparison with previous approaches, an increment of about 4% in the classification performance, suggesting that the visual saliency information could be promising for AD discrimination.

关键词： visualization biomedical imaging Estimation Feature extraction Diseases Computational modeling Support vector machines

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Wavelet Based selection for fusion of Medical images

Wavelet Based selection for fusion of Medical images

引用

International conference on computing Communication Control and Automation (ICCUBEA)

作者： Deepali Sale Swati Sawant Electronics & Telecommunication DYPIET Pimrpi Pune Maharashtra India

ISBN: (纸本)9781509032921

Image fusion mainly focused on image enhancement for better visualization of a scene. Due to Fusion of Multi-focus noisy we achieve the enhanced image having better visual quality. The Main objective of this paper is to perform image fusion using Wavelet Transform using Haar wavelet and Biorthogonal wavelet. In blurred multi focus images edge information and contrast of an image is disturbed. Hence the quality metrics that evaluate the edge and contrast based information is of more important. The suitable wavelet can be selected to achieve better enhancement in terms of edge and contrast. We have used some registered sets of Medical Images. On those images we apply fusion using wavelet transform. To know the quality of fused image we use quality parameters like RMSE, PSNR, Spatial Frequency, Mutual Information, Correlation, Standard Deviation, Entropy, Variance, Similarity, and Time required for execution. Then decide from both wavelet by using which wavelet we get better results so at the time of fusion we directly apply that wavelet transform.

关键词： Wavelet transforms biomedical imaging Image fusion Wavelet analysis Indexes Image edge detection

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Closing the data loop: An integrated open access analysis platform for the MIMIC database

Closing the data loop: An integrated open access analysis pl...

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Computers in Cardiology (CinC)

作者： Mohammad Adibuzzaman Ken Musselman Alistair Johnson Paul Brown Zachary Pitluk Ananth Grama Regenstrief Center for Healthcare Engineering Purdue University West Lafayette USA Laboratory for Computational Physiology Massachusetts Institute of Technology Cambridge USA Paradigm4 Waltham USA Department of Computer Science Purdue University West Lafayette USA

ISBN: (纸本)9781509008964

We describe a new model for collaborative access, exploration, and analyses of the Medical Information Mart for Intensive Care - III (MIMIC III) database for translational clinical research. The proposed model addresses the significant disconnect between data collection at the point of care and translational clinical research. It addresses problems of data integration, preprocessing, normalization, analyses (along with associated compute back-end), and visualization. The proposed platform is general, and can be easily adapted to other databases. The pre-packaged analyses toolkit is easily extensible, and allows for multi-language support. The platform can be easily federated, mirrored at other locations, and supports a RESTful API for service composition and scaling.

关键词： Databases MIMICs biomedical monitoring Data models Safety Drugs

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Spatial-frequency approach to fibrous tissue classification in intracoronary optical images

Spatial-frequency approach to fibrous tissue classification ...

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Computers in Cardiology (CinC)

作者： Maysa M.G. Macedo Pedro F.G. Nicz Carlos M. Campos Pedro A. Lemos Marco A. Gutierrez Servico de Informatica Sao Paulo SP Brazil Division of Informatics University of Sao Paulo Medical School Brazil Department of Hemodynamics University of Sao Paulo Medical School Brazil

ISBN: (纸本)9781509008964

Increased understanding about the mechanisms of coronary thrombosis in humans has been limited by the lack of imaging modalities with resolution sufficient to characterize fibrous cap tissue and determine its thickness in vivo. Intravascular optical coherence tomography (IOCT) provides images with micrometer axial (10-15 μm) and lateral resolution (40μm), enabling detailed visualization of micro-structural changes of the arterial wall. This article describes a fully automated method for identification and quantification of fibrous tissue in IOCT human coronary images based on spatial-frequency analysis by means Short-Time Fourier transform. Forty IOCT frames from nine IOCT in-vivo datasets were annotated by an expert and used to evaluate the proposed fibrous tissue characterization method.

关键词： Measurement Image segmentation Heart biomedical imaging Attenuation Manuals

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GEAR analytics: A clinician dashboard for a mobile game assisted rehabilitation system

GEAR analytics: A clinician dashboard for a mobile game assi...

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International conference on User Science and Engineering (i-USEr)

作者： Mufizur Rahman Bimlesh Wadhwa Atreyi Kankanhalli Yeow Chen Hua Cheng Kai Kei Lim Jeong Hoon Sharmila Jayakkumar Chua Cai Lin School of Computing National University of Singapore Dept. of Biomedical Engineering National University of Singapore Appbition Department of Medicine National University Hospital

ISBN: (纸本)9781509026326

GEAR, a mobile GamE Assisted Rehabilitation system, is being developed to enhance users' engagement and adherence to their prescribed exercise regime. GEAR consists of a sensor unit encased in a wearable wristband to monitor user's arm movement, a mobile game that incorporates the exercises, and a backend database with a dashboard for clinicians. In this paper we report on the design, prototyping, and evaluation of GEAR analytics - the interactive dashboard implemented to effectively organize, visualize, and evaluate the data collected from the GEAR device for clinicians. A user-centric design approach was adopted to identify features and arrive at the design decisions for the dashboard. Two datasets (n=10, n=49) collected during the evaluation of GEAR, were used to populate the main dashboard, which was rendered in the form of responsive web interactions. The results of evaluating GEAR Analytics show that through this application clinicians can effectively consolidate health patterns among patients and use it to recommend appropriate follow-up treatments.

关键词： Gears Data visualization Games Shoulder biomedical monitoring Image color analysis Land mobile radio

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A spatial data analysis infrastructure for environmental health research

A spatial data analysis infrastructure for environmental hea...

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International conference on High Performance computing & Simulation (HPCS)

作者： Maria Mirto Sandro Fiore Laura Conte Luisa Vittoria Bruno Giovanni Aloisio Euro-Mediterranean Center on Climate Change CMCC Foundation Lecce Italy Faculty of Computer Science University of Salento Leece Italy

In spatial health research, it is necessary to consider not only the spatial-temporal patterns of diseases, but also external environmental factors, such as the effects of climate change on air quality, that may influence the insurgence or progression of diseases (e.g. respiratory and cardiovascular diseases, cancer, male human infertility, etc.). In this paper, we propose a Spatial Data analysis Infrastructure (SDI) for the analysis of health pathologies related to environmental factors and, more specifically, to climate change. The main goal is the development of a new methodology to predict and manage health risks, finding correlations between diseases and air pollution due to climatic factors. The presented SDI consists of different modules. A gynecological-obstetrical clinical folder application has been developed to collect and manage clinical data. Anonymous and geo-referenced patients data are extracted from the clinical folder application and data mining techniques, such as a hot spot analysis based on the Getis-Ord G i * statistics, have been applied to the gathered data by exploiting the Hadoop framework. The results of the analysis are displayed in a Web application that provides data visualization through geographical maps, using Geographical Information Systems (GIS) technology. This prototype, combining big data, data mining techniques, and GIS technology, represents an innovative approach to find correlations between spatial environmental factors and the insurgence of health diseases.

关键词： Geographic information systems Diseases Spatial databases Meteorology Electronic medical records Correlation biomedical imaging

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The Application of visualization Techniques in Recommendation Systems 8

The Application of Visualization Techniques in Recommendatio...

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8th International conference on biomedical Engineering and Informatics (BMEI)

作者： Qian, Dong Yang, Cheng Li, Chen Commun Univ China Sci & Technol Dept Beijing Peoples R China

ISBN: (纸本)9781509000227

The personalized recommendation system has been widely and maturely applied to various domains from social network to items recommendation such as videos, music, movies, books and online shopping. In the meantime, the information visualization technology based on big data has a substantial development. Considering the common based on big data, this paper discussed the connections of graph visualization and recommendation system from a new perspective. We propose three combinative points: Firstly, the Visual Analytics of social network can be combined with the recommendation computing;secondly, the graph drawing algorithms can be combined with the terminal presentation of recommended results. On the account of the evolutional nature of recommendation, the dynamic graphs would be the key area;thirdly, user interaction with the recommendation system can use the graph interaction strategies to achieve a more accurate and understandable result. In this paper, we discuss the visual techniques which can applied to recommendation system from a more general perspective. We also discuss some research challenges in the future.

关键词： Recommendation Systems Dynamic graph Graph visualization Interaction methods

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