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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251-260 订阅

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Emotion Recognition using Parabolic Phase Space Mapping for Heart Rate Variability Analysis 44

Emotion Recognition using Parabolic Phase Space Mapping for ...

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44th computing in Cardiology conference (CinC)

作者： Rezaei, Shahab Moharreri, Sadaf Ghiasi, Shadi Parvaneh, Saman Islamic Azad Univ Cent Tehran Branch Tehran Iran Islamic Azad Univ Khomeini Shahr Branch Esfahan Iran KN Toosi Univ Technol Tehran Iran Islamic Azad Univ Sci & Res Branch Tehran Iran Philips Res North Amer Cambridge MA USA

ISBN: (纸本)9781538645550;9781538666302

In this paper, extracted features from Parabolic Phase Space Mapping (PPSM) of RR time series and its extended version were used to distinguish four emotionstates (energetic, calm, happy, and anxious) induced by picture stimuli. In order to induce emotions, four groups of pictures with different emotional concepts were used as a visual stimulus while the lead II of ECG was recorded. Induced emotion was confiremed by self-assessment manikin test. The results show that extracted features were significantly different between energetic and calm, energetic and happy, energetic and anxious, calm and happy, calm and anxious, and happy and anxious (p<0.05).

关键词： Feature extraction Heart rate variability biomedical monitoring Two dimensional displays visualization Electrocardiography Emotion recognition emotion recognition heart rate variability biomedical monitoring Electrocardiography Anxiety Feature extraction Happiness visualization Emotions Phase space lead ii

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Understanding Data Exploration Search A brief Study of User’s Exploratory Search facets

Understanding Data Exploration Search A brief Study of User...

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International conference on computing, Communication & Automation (ICCCA)

作者： Samit Kumar Vikram Singh Computer Engineering Dept National Institute of Technology Kurukshetra Haryana India

ISBN: (纸本)9781538669488

In recent years, `Big Data' evolution leads to the development of new methods and systems that allow users to interactively explore large data sets, such as document/multimedia collections, social media or biomedical datasets. The approaches to support user's exploratory interactions range from the new novel interface for information visualization to specialized query/data interfaces. Though, several limitations uncovered during the evaluation of exploratory search systems. One major reason is that these systems rely on a loosely defined model of the exploratory search. We investigated the other factors of the dependence of user search performance. In this, diverse factors related to an exploratory search ranging from the nature of the search, suitable exploratory methods, etc. are reviewed. The investigation is intended to examine the core-research issues and tentative directions. Thus, we envisioned the challenges exist in the current exploratory techniques, in two brackets: User's inability and limitation in DE system.

关键词： Data visualization Task analysis Machine learning Database languages Database systems Writing

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biomedical image mosaicing: A review

Biomedical image mosaicing: A review

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International conference on Communication and computing Systems, ICCCS 2016

作者： Pol, Kshitija Chaudhary, Diksha Bansal, Parul Dronacharya College of Engineering Gurgaon India

ISBN: (纸本)9781138029521

One of key research area in the field of Image Processing & Computer Vision is Image mosaicing. When image mosaicing used for medical diagnosis purpose it is called as biomedical Image Mosaicing. This paper takes an overview of how image mosaicing is used in medical application such as X-Ray stitching, visualization of Tissue structure, Robotically-assisted biomedical image mosaicing system, Blood Vessel image, whole Body MRI. © 2017 Taylor & Francis Group, London.

关键词： Medical applications

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System of remote monitoring and control for “generador flujo de electrones” in gasoline vehicules

System of remote monitoring and control for “generador fluj...

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IEEE Colombian Communications conference (COLCOM)

作者： Johan Julián Molina Jonathan Zamudio Patarroyo Alex Gorayef Medina Díaz Universidad Surcolombiana Progama de ingenieria electrónica Neiva Colombia

This work shows the design and implementation of a system of remote monitoring and control for “generador flujo de electrones” in gasoline vehicules. This project has two main parts. The first is responsible of monitoring in real time of the process variables voltage, current, temperature and water level in this one, the measurements are used to do the correct current and water level control. The second part is in charge of the process variables visualization and recording on a mobile device through a app which was designed for Android OS. This two parts are comunicated by bluetooth technology which provides wide range of movement and therefore greater comfort to the user. The result of this, is a system that supplies a remote monitoring of process variables, and a recording on mobile device where the app is installed. This, for the purpose of a subsequent analysis about the behavior of the system over time, in addition, the system allows the current and water level control in the “generador flujo de electrones”.

关键词： Pulse width modulation Monitoring visualization Bluetooth Instruments biomedical monitoring MOSFET

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CIVILITY: Cloud based Interactive visualization of Tractography Brain Connectome

CIVILITY: Cloud based Interactive Visualization of Tractogra...

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SPIE biomedical Applications in Molecular, Structural, and Functional Imaging conference

作者： Puechmaille, Danaele Styner, Martin Prieto, Juan C. Univ N Carolina Dept Psychiat Neuro Imaging Reasearch & Anal Lab Chapel Hill NC 27599 USA

ISBN: (纸本)9781510607194;9781510607200

Cloud based Interactive visualization of Tractography Brain Connectome (CIVILITY) is an interactive visualization tool of brain connectome in the cloud. This application submits tasks to remote computing grids were the CIVILITY-tractography pipeline is deployed. The application will list the running tasks for the user and once a task is completed the brain connectome is visualized using Hierarchical Edge Bundling. The analysis pipeline uses FSL tools (bedpostx and probtrackx2) to generate a triangular matrix indicating the connectivity strength between different regions in the brain. This work is motivated by medical applications in which expensive computational tasks such as brain connectivity is needed and to provide a state of the art visualization tool of Brain Connectome. This work does not contribute any novelty with respect to the visualization methodology, is rather a new resource for the neuroimaging community. This work is submitted to the SPIE biomedical Applications in Molecular, Structural, and Functional Imaging conference. The source code of this application is available in NITRC*

关键词： Tractography connectivity diffusion tensor imaging brain connectome cloud open source application

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xDCI, a Data Science Cyberinfrastructure for Interdisciplinary Research

xDCI, a Data Science Cyberinfrastructure for Interdisciplina...

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IEEE High Performance Extreme computing conference (HPEC)

作者： Krishnamurthy, Ashok Bradford, Kira Calloway, Chris Castillo, Claris Conway, Mike Coposky, Jason Guo, Yue Idaszak, Ray Lenhardt, W. Christopher Robasky, Kimberly Russell, Terrell Scott, Erik Sliwowski, Marcin Stealey, Michael Urgo, Kelsey Xu, Hao Yi, Hong Ahalt, Stan Univ North Carolina Chapel Hill Renaissance Comp Inst RENCI Chapel Hill NC 27517 USA

ISBN: (纸本)9781538634721

This paper introduces xDCI, a Data Science Cyber-infrastructure to support research in a number of scientific domains including genomics, environmental science, biomedical and health science, and social science. xDCI leverages open-source software packages such as the integrated Rule Oriented Data System and the CyVerse Discovery Environment to address significant challenges in data storage, sharing, analysis and visualization. We provide three example applications to evaluate xDCI for different domains: analysis of 3D images of mice brains, videos analysis of neonatal resuscitation, and risk analytics. Finally, we conclude with a discussion of potential improvements to xDCI.

关键词： Metadata Engines Computers Software Standards Data science Data visualization

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Towards Better Soft-Tissue Segmentation Based on Gestalt Psychology

Towards Better Soft-Tissue Segmentation Based on Gestalt Psy...

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International conference on Image, Vision and computing (ICIVC)

作者： Qirong Bo Jun Feng Pan Li Zhaohui Lv Jing Zhang Institute of information science and technology Northwest University Xi'an China Computer Science Department Lamar University Beaumont TX U.S.A

ISBN: (纸本)9781538649923

According to gestalt psychology theory, the human brain merges and simplifies unrelated units by some relations through eyes for subsequent cognition. We introduce a new segmentation framework based on gestalt psychology in this paper. An input image is first divided into visual patches using two gestalt principles, similarity and proximity, by a clustering method, and then the visual patches are grouped to form soft tissues by a classification step using the spatial relationship and texture features. We evaluated the proposed method using TCIA database at both sectional level and volumetric level. The experimental results demonstrated the efficiency and robustness of the presented method and indicated its promising applications in the field of medical image processing.

关键词： visualization Image segmentation Biological tissues Feature extraction Computed tomography biomedical imaging Kidney

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Automated Segmentation of Knee Cartilage Using Modified Radial Approach for OA Patients with and without Bone Abnormality

Automated Segmentation of Knee Cartilage Using Modified Radi...

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IEEE EMBS conference on biomedical Engineering and Sciences (IECBES)

作者： Rafeek Thaha Sandeep P Jogi Sriram Rajan Vidur Mahajan Amit Mehndiratta Anup Singh Center for Biomedical Engineering IIT Delhi New Delhi India ASET Amity University Haryana India Mahajan Imaging Center New Delhi India Center for Biomedical Engineering IIT Delhi & AIIMS New Delhi India

ISBN: (纸本)9781538624722;9781538624715

Automatic Segmentation of articular cartilage is important for the quantitative analysis as well as for 2D or 3D visualization of cartilage. Automatic segmentation of cartilage is quite challenging, particularly for OA patients having Bone Marrow Edema (BME) like lesions. Objective of this study was to develop an automatic segmentation approach which can work well for healthy as well as OA patients with and without BME lesions. In this study we proposed an automatic cartilage segmentation approach based upon modification of radial approach and using T2 map values. Accuracy of proposed method was tested with manual segmentation by computing coefficient of similarity. Proposed automated segmentation method was successfully tested on 12 MRI data set. This method provided an accuracy of 89 ± 1 % DSC in patient without BME and 84 ± 1.7 % in subjects having bone lesions. 2D WearMap of both T2 values and thickness values were generated.

关键词： Image segmentation Bones Two dimensional displays Lesions Magnetic resonance imaging biomedical engineering

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A High Capacity Framework for Reversible Information Embedding in Medical Images

A High Capacity Framework for Reversible Information Embeddi...

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International conference on Parallel Distributed and Grid computing (PDGC)

作者： Shifa Showkat Shabir A. Parah Department of Electronics and Instrumentation Technology University of Kashmir Srinagar India

ISBN: (纸本)9781728106489

In this paper, a scheme of reversible data hiding (RDH) with increased capacity for medical images has been presented. The proposed method focusses on increasing the medical image's visual quality and simultaneously improving the payload. This algorithm presents a block based approach and modifies only pixels in a given range and not in the entire image. The histogram of each individual block is generated with the objective of computing the peak value i.e. the value with highest frequency of occurrence. For medical images, an additional preprocessing step is first done to make computation simpler. Stego-image is formed by embedding particular values of secret data bits in a pre-determined range. The cover-image is recovered in its original form by concatenating a location tag to the stego-image. Peak Signal to Noise Ratio (PSNR), Structural Similarity Index Matrix (SSIM) and capacity are the metrics that assess the visual quality, structural similarity and payload. Since the process of embedding of data is done only in particular pixels of a defined range, the proposed idea results in increased payload with less distortion.

关键词： Payloads biomedical imaging visualization Histograms Distortion conferences Measurement

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Electro-Mechanical Delay in the Human Heart: A Study on a Simple Geometry

Electro-Mechanical Delay in the Human Heart: A Study on a Si...

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Computers in Cardiology (CinC)

作者： Ekaterina Kovacheva Lukas Baron Olaf Dössel Axel Loewe Institute of Biomedical Engineering Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

ISBN: (纸本)9781728109244

The contraction of the heart is a complex process involving the interaction of the passive properties of the tissue and the active tension development, which is elicited by the electrical activation of the cells. In this study, the electro-mechanical delay (EMD) was investigated as well as its dependence on the length of the sarcomeres, which are the contractile units within the cell. EMD was defined as the time offset between the electrical activation of the cell and the time of maximal tension. On a simple bar geometry with unidirectional fibre orientation and a linear local activation time distribution, the EMD proved to be inhomogeneous. The contraction of the early activated regions caused an elongation of the sarcomere (stretch) in the neighbouring regions, which ware electrically activated at a later time. The tension in the stretched region reached twice the value of the cells in the not-stretched, early activated region. Furthermore, the EMD in the early electrically activated region was more than 0.2 s, which was about twice the EMD of the stretched regions. In conclusion, the stretched region developed higher tension within a shorter time interval compared to the early activated region. Future studies will investigate how the inhomogeneous EMD affects cardiac output.

关键词： Geometry visualization Heart Finite element analysis Delays Biological system modeling biomedical engineering

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