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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： P. Gong W. Qu D.D. Feng Biomedical and Multimedia Information Technology (BMIT) Research Group School of Information Technologies University of Sydney NSW Australia Center for Multimedia Signal Processing Department of Electronic and Information Engineering Hong Kong Polytechnic University Hong Kong China

As a huge amount of gene disorder information is available on the Internet, there is an increasing requirement to integrate these data sources. The integration of gene disorder data sources provides an important tool in the research of life science, therapeutics, and genetic disease prevention and inhibition. The key challenge of such integration is how to deal with semantic heterogeneity of multiple information resources. The paper proposes an ontology-based approach to describe and extract the semantics of genetic disorder terminologies and provides a mechanism for sharing and reusing genetic disorder knowledge. According to this unified meta model, heterogeneous gene disorder data sources can be integrated, and a semantic middleware has the ability to do reasoning on the knowledge base of gene disorder for users and applications' various queries

关键词： Ontologies Databases Diseases Data mining Terminology Information technology biomedical engineering Genetic mutations Bioinformatics Cells (biology)

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Clinical translation of UV autofluorescence microscopy towards endomicroscopy for early detection of cancer

Clinical translation of UV autofluorescence microscopy towar...

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Asia Communications and Photonics Conference and Exhibition, ACP 2010

作者： Lin, Bevin Urayama, Shiro Saroufeem, Ramez M. G. Matthews, Dennis L. Demos, Stavros G. University of California Davis NSF Center for Biophotonics Science and Technology 4800 2nd Avenue Sacramento CA 95817 United States University of California Davis Department of Biomedical Engineering One Shields Avenue Davis CA 95616 United States University of California Davis Medical Center Division of Gastroenterology and Hepatology 4150 V Street Sacramento CA 95817 United States University of California Davis Medical Center Department of Pathology 4400 V Street Sacramento CA 95817 United States Lawrence Livermore National Laboratory 7000 East Avenue Livermore CA 94550 United States

ISBN: (纸本)9781424471119

The non-invasiveness of autofluorescence technology may reduce sampling error and time delay for histopathology diagnosis. We establish biophotonic methods and guidelines to visualize and interpret early epithelial tissue changes that signify disease. Flexible and rigid fiber endomicroscopy instrumentation design parameters feasible for translation towards clinical use are in development. ©2010 IEEE.

关键词： Diagnosis

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Near-infrared spectroscopy studies of visual evoked responses during photon stimulation

Near-infrared spectroscopy studies of visual evoked response...

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Asian and Pacific Rim Symposium on Biophotonics, APBP

作者： Chia-Wei Sun Cheng-Kuang Lee Hsiang-Chieh Lee Po-Lei Lee C.C. Yang Cho-Pei Jiang Tsz-Yi Yang Yuh-Ping Tong Jen-Chuen Hsieh Biomedical Engineering Center Industrial Technology and Research Institute Hsinchu Taiwan Graduate Institute of Electro-Optical Engineering National Taiwan University Taipei Taiwan Integrated Brain Research Laboratory Department of Medical Research and Education Taipei Veterans General Hospital Taipei Taiwan

We demonstrate the utility of near-infrared spectroscopy in monitoring of the human visual cortex. The typical hemodynamic signals expected are observed in our preliminary experiments.

关键词： Spectroscopy Humans Hemodynamics Light sources Brain Light scattering Frequency Photonics biomedical engineering biomedical monitoring

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Platelet Contraction Cytometry: A Biophysical, High-Throughput Research-Enabling and Diagnostic Platform

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BLOOD 2017年 130卷 2301-2301页

作者： Oshinowo, Oluwamayokun T. Lam, Aaron W. Brainard, Benjamin Bennett, Carolyn M. Lam, Wilbur A. Myers, David R. Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University Lagrange GA Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University Atlanta GA College of Veterinary Medicine University of Georgia Athens GA Emory University School of Medicine Children's Healthcare of Atlanta Atlanta GA Department of Pediatrics Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta Emory University School of Medicine Atlanta GA

2301

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The application of a real-time rapid-prototyping environment for the behavioral rehabilitation of a lost brain function in rats

The application of a real-time rapid-prototyping environment...

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IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain

作者： Pruckl, R. Grünbacher, E. Ortner, R. Taub, A.H. Hogri, R. Magal, A. Segalis, E. Zreik, M. Nossenson, N. Herreros, I. Giovannucci, A. Almog, R. Ofek Bamford, S. Marcus-Kalish, M. Shacham, Y. Verschure, P.F.M.J. Messer, H. Mintz, M. Scharinger, J. Silmon, A. Guger, C. G.tec - Guger Technologies OG Schiedlberg Austria Psychobiology Research Unit Department of Psychology Tel Aviv University Israel Department of Biomedical Engineering Tel Aviv University Israel School of Electrical Engineering Tel Aviv University Israel SPECS Lab. of Synthetic Perceptive Emotive and Cognitive Systems University Pompeu Fabra Barcelona Spain Faculty of Engineering Tel Aviv University Israel Istituto Superiore di Sanitá Rome Italy Interdisciplinary Center for Technology Analysis and Forecasting Tel Aviv University Israel Department of Computational Perception Johannes Kepler University Linz Austria INEX Newcastle University Newcastle United Kingdom

ISBN: (纸本)9781424498918

In this paper we propose a Rapid Prototyping Environment (RPE) for real-time biosignal analysis including ECG, EEG, ECoG and EMG of humans and animals requiring a very precise time resolution. Based on the previous RPE which was mainly designed for developing Brain Computer Interfaces (BCI), the present solution offers tools for data preprocessing, analysis and visualization even in the case of high sampling rates and furthermore tools for precise cognitive stimulation. One application of the system, the analysis of multi-unit activity measured from the brain of a rat is presented to prove the efficiency of the proposed environment. The experimental setup was used to design and implement a biomimetic, biohybrid model for demonstrating the recovery of a learning function lost with age. Throughout the paper we discuss the components of the setup, the software structure and the online visualization. At the end we present results of a real-time experiment in which the model of the brain learned to react to he acquired signals. © 2011 IEEE.

关键词： Brain

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Expanding the repertoire of intermuscular coordination patterns and modulating intermuscular connectivity in stroke-affected upper extremity through electromyogram-guided training: a pilot study

Expanding the repertoire of intermuscular coordination patte...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Gang Seo Michael Houston Manuel Portilla Feng Fang Jeong-Ho Park Hangil Lee Sheng Li Hyung-Soon Park Yingchun Zhang Jinsook Roh Biomedical Engineering Department University of Houston Houston TX USA Mechanical Engineering Department Korea Advanced Institute of Science and Technology Daejeon South Korea University of Texas Health Science Center - Houston and TIRR Memorial Herman Houston TX USA University of Houston Houston TX USA

Abnormal intermuscular coordination is a major stroke-induced functional motor impairment in the upper extremity (UE). Previous studies have computationally identified the abnormalities in the intermuscular coordination in the stroke-affected UE and their negative impacts on motor outputs. Therefore, targeting the aberrant muscle synergies has the potential as an effective approach for stroke rehabilitation. Recently, we verified the modifiability of the naturally expressed muscle synergies of young able-bodied adults in UE through an electromyographic (EMG) signal-guided exercise protocol. This study tested if an EMG-guided exercise will induce new muscle synergies, alter the associated intermuscular connectivity, and improve UE motor outcome in stroke-affected UE with moderate-to-severe motor impairment. The study used the six-week isometric EMG signal-guided exercise protocol that focused on independently activating two specific muscles, the biceps and brachioradialis, to develop new muscle activation groups. The study found that both the stroke and age-matched, able-bodied groups were able to develop new muscle coordination patterns through the exercise while habitual muscle activation was still available, which led to improvements in the motor control of the trained arm. In addition, the results provided preliminary evidence of increased intermuscular connectivity between targeted muscles in the beta-band frequencies for stroke patients after training, suggesting a modulation of the common neural drive. These findings suggest that our isometric exercise protocol has the potential to improve stroke survivors' performance of UE in their activities in daily lives (ADLs) and, ultimately, their quality of life through expanding their repertoire of intermuscular *** Relevance— This study shows the feasibility of expanding the intermuscular coordination pattern in stroke-affected UE through an isometric EMG-guided exercise which positively affects ta

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Uterine fibroid segmentation on multiplan MRI using FCM, MPFCM and morphological operations

Uterine fibroid segmentation on multiplan MRI using FCM, MPF...

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International Conference on Computer engineering and technology, ICCET

作者： Alireza Fallahi Mohammad Pooyan Hassan Khotanlou Hassan Hashemi Kavous Firouznia Mohammad Ali Oghabian Biomedical Engineering Department Shahed University Tehran Iran Computer Engineering Department Bu-Ali Sina University Hamedan Iran Advanced Diagnostic and Interventional Radiology Research Center ADIR Tehran Iran Advanced Diagnostic and Interventional Radiology Research Center ADIR Tehran Iran Research Center for Science and Technology in Medicine Tehran University of Medical Sciences Tehran Iran

ISBN: (纸本)9781424463473;9781424463497;9781424463503

Uterine fibroid is the most common benign tumor of the female in the world. Uterine volume measurement before and after surgery has an important role in predict and following the result of surgery. Fibroids segmentation in patient with multi fibroids is the challenging task manually. We propose tow step method for robustly segmentation of these cases. The first step results in a uterine segmentation using FCM and some morphological operations in T1-Enhanced and T1 images. In the second step by applying a new method based on FCM, PCM and information of voxels neighborhoods (Modified PFCM_MPFCM) and knowledge based image processing final segmentation created. We compared manually segmented images results with the output of our system and we obtained 79.9% average of similarity index and 68.28% Jaccard index.

关键词： Magnetic resonance imaging Morphological operations Image segmentation Level set biomedical imaging Medical diagnostic imaging Image processing Clustering algorithms biomedical engineering Radiology

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Corrections to “Intelligent Traffic Data Transmission and Sharing Based on Optimal Gradient Adaptive Optimization Algorithm”

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IEEE Transactions on Intelligent Transportation Systems 2024年第3期25卷 3202-3204页

作者： Xing Li Haotian Zhang Yajing Shen Lina Hao Wanfeng Shang School of Electrical Engineering and Intelligentization Dongguan University of Technology Dongguan China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China College of Computer Science and Technology Jilin University Changchun China Department of Biomedical Engineering City University of Hong Kong Hong Kong China School of Mechanical and Engineering Northeastern University Shenyang China Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

In [1] , inaccuracies in several critical equations along with their accompanying descriptions appear in the article. Furthermore, some references are missing, and certain analyses of experiments are flawed.

关键词： Adaptive systems Data communication Optimization Intelligent transportation systems

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Large Language Models: A Concise Review of Types and Considerations

Large Language Models: A Concise Review of Types and Conside...

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International Conference on Parallel Distributed and Grid Computing (PDGC)

作者： Apeksha Aggarwal Naveen Kumar Gupta Ajay Agarwal Pawan Kumar Dept. of CSE and IT Jaypee Institute of Information Technology Noida India Dept. of Information Technology Center of Energy and Environment Dr B R Ambedkar National Institute of Technology Jalandhar Jalandhar India Department of Computer Science and Engineering R. D. Engineering College Ghaziabad India Biomedical Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (数字)9798331521349

ISBN: (纸本)9798331521356

This research paper explores nuances of large language models along with a detailed analysis of various model types, and their associated advantages and drawbacks. The primary objective of this paper is to provide a brief knowledge about prevailing popular LLMs. This study further offers a thorough summary of the most recent survey articles that have been published on Large Language Models (LLMs) till date. Furthermore, a comparative study of the latest LLMs launched by popular organizations is also done, along with their evolution over a period of time. Challenges of LLMs are also outlined in this work.

关键词： Surveys Analytical models Reviews Large language models Organizations Transformers Grid computing Natural language processing

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Survey of openEHR storage implementations

Survey of openEHR storage implementations

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IEEE International Symposium on Computer-Based Medical Systems

作者： Samuel Frade Sergio Miranda Freire Erik Sundvall José Hilario Patriarca-Almeida Ricardo Cruz-Correia Center for Research in Health Technologies and Information Systems - CINTESIS Faculty of Medicine of University of Porto (FMUP) - Portugal Department of Information and Education Technology in Health Care State University of Rio de Janeiro Brazil Department of Biomedical Engineering Link?ping University Sweden

ISBN: (纸本)9781479910526

Efficiently storing and retrieving archetype-based patient information can be a challenging task. This paper surveys current archetype-based system implementations in the world and in particular the different approaches that have been used to create 13606- or openEHR-based storage repositories. Data is reported from systems with a few records to millions of records, including both deployed systems in production and experimental systems. Worldwide 21 projects were found, 4 did not reply and 1 did not provide data. Many systems (n=ll) base their storage on RDBMS, then often (n=6) with some XML data fields. Dedicated XML (n=3) and object-oriented (n=2) databases were other examples of storage used. Query formalisms used include SQL, AQL, XQuery and XPath. Service interfaces via SOAP (n=12) or REST (n=6) are common. Most systems support dynamic configuration using new/changed archetypes and templates dynamically without system restart. Some (n=7) systems use demographic archetypes. In addition to the built in DBMS indexing mechanisms, one project reports use of an additional inverted index to achieve improved performance.

关键词： Survey storage implementations

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