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A new method for assessing volumetric flows in microvascular networks based on laser Doppler and microscopic imagery

A new method for assessing volumetric flows in microvascular...

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Annual international conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Ying Sun T.J. Verbeuren M.O. Vallez G.E. Nilsson F. Sjoberg Biomedical Engineering University of Rhode Island Kingston RI USA Servier Research Institute Suresnes France Linköping University Linkoping Sweden

A new method was developed to produce a composite image of the microvascular network with grayscale proportional to volumetric flow. Velocities in arterioles and venules were assessed with a high resolution laser Doppler imager (LDI). The vascular structures were quantified from the micrograph with a computerized vessel detection algorithm. After registering the vascular network with the LDI scan, volumetric flows were calculated for the entire vasculature. In vivo data were obtained from the hamster cheek pouch in 6 studies.

关键词： intelligent networks Microwave integrated circuits Detection algorithms Bifurcation Sun Biomedical imaging Microscopy Biomedical engineering Gray-scale Image resolution

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Evaluation of nonlinear generalizations of the adaptive model theory

Evaluation of nonlinear generalizations of the adaptive mode...

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Annual international conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： P.R. Davidson R.D. Jones H.R. Sirisena J.H. Andreae P.D. Neilson Electrical and Electrical Engineering University of Canterbury Christchurch New Zealand Medical Physics and Bioengineering Christchurch Hospital Christchurch New Zealand Systems and Control University of New South Wales Sydney Australia

Adaptive Model Theory (AMT) is a computational theory and model of the information processing performed by the brain during voluntary movement. Two possible generalizations of AMT to the control of nonlinear external system were evaluated in a pilot study. Both approaches made use of single layer networks of locally recurrent dynamic neurons in the nonlinear inverse modeling subsystems. The feedback-error learning approach performed well in AMT tracking task simulations when compared with other approaches and human data. The forward-and-inverse learning approach performed poorly in the same tests.

关键词： Brain modeling Computational modeling Information processing Nonlinear control systems Control systems Nonlinear dynamical systems Neurons Inverse problems Humans Performance evaluation

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Phonocardiogram classification using self-organizing map with learning vector quantization

Phonocardiogram classification using self-organizing map wit...

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Annual international conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： H. Yoshida H. Shino K. Yana Department of Electron. Syst. and Inform. Engineering Kinki University Naga Wakayama Japan Department of Electric Informatics Hosei University Koganei Tokyo Japan

This paper proposes a method for classifying the phonocardiogram (PCG) into three target classes (Type I: normal, Type II: innocent murmur, Type III: abnormal murmur). The method detects the presence of systolic murmur by the first self-organizing map with a learning vector quantization algorithm. The second self-organizing map classifies the PCG into innocent and abnormal murmur. The effectiveness of the method was confirmed by applying the method to the data obtained from a nation wide health screening for elementary school children conducted in Japan. The first stage of detecting the presence of systolic murmur achieves a correcting rate of 99.4%, and correcting classification rates for innocent and abnormal murmur were 96.9% and 94.9% respectively. Furthermore, the proposed method not only has good performance for classifying the target classes, but also it could have the ability to classify systolic murmur into sub classes such as ejection murmur or musical murmur, etc. because of the structure of the system.

关键词： Vector quantization Organizing Educational institutions Pediatrics data acquisition Heart beat Electrons Informatics Large-scale systems Cardiology

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A comparison between artificial neural networks and urologists' assessment of outcome in bladder cancer. II. Survival in muscle-invasive (T2-T4) tumours

A comparison between artificial neural networks and urologis...

引用

Annual international conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： R.N.G. Naguib K.N. Qureshi F.C. Hamdy D.E. Neal J.K. Mellon BIOCORE School of Mathematical and Information Sciences Coventry University Coventry UK Freeman Hospital and Department of Surgery University of Newcastle Newcastle-upon-Tyne UK Royal Hallamshire Hospital and University of Sheffield Sheffield UK

Currently, we lack accurate methods of predicting survival in patients with muscle-invasive bladder cancer. data relating to 40 such patients (out of a comprehensive database of 212 patients) was retrospectively analysed by artificial neural networks (ANNs). A total of 15 different factors including clinicopathological and molecular markers of mixed prognostic significance were used in the analysis. The accuracy of the ANN in predicting 12-months cancer-specific survival for T2-T4 cancers was 82%. This was subsequently compared with the predictions of four experienced urologists who analysed the same data blindly. The corresponding mean accuracy for the urologists was 65%.

关键词： Artificial neural networks intelligent networks Bladder Cancer Tumors Diseases Hospitals databases Metastasis Oncological surgery

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Case-based reasoning (CBR) in endoscopic images diagnosis aid

Case-based reasoning (CBR) in endoscopic images diagnosis ai...

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Annual international conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： C. Le Guillou J.-M. Cauvin B. Solaiman M. Robaszkiewicz C. Roux Dépatement Image & Traitement de l'Infomation ENSTB Laboratoire LATIM Brest France Dépatement d'Infomation Médicine. CHRU Laboratoire LATIM Brest France Service d'Hépato-Gastreontérologie. CHRU Laboratoire LATIM Brest France

The computerized and sophisticated version of medical atlases aims at constituting iconographic bases and at developing "intelligent" tools, thus allowing image retrieval according to several modalities. Such atlases are consequently used as assistance tools for physicians, at the same time for medical diagnosis, formation and research. Therefore, the study described is directed at upper digestive endoscopy and its imagery with the aim of conceiving a computer-assisted diagnosis system. It will be articulated around a base of images on which will be supported case-based reasoning), adapted to elucidate a case-in fact, to find the similar ones to it. Moreover, a knowledge base describing endoscopic pathologies is destined to take place of a control unit of coherence for similarities search.

关键词： Layout Endoscopes Pathology data mining Physics computing Computer aided diagnosis Humans Esophagus stomach Feeds

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Integrated system for developing intelligent electronic standards book with Internet capability

Integrated system for developing intelligent electronic stan...

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Power Industry Computer Application conference (PICA)

作者： Hua Li Hsiao-Dong Chiang R. Jones School of Electrical Engineering Cornell University Ithaca NY USA Rochester Gas and Electric Corporation Rochester NY USA

This paper describes an integrated system for developing an intelligent, electronic standards book with Internet capability. The developed electronic standards book contains computer-aided design (CAD) drawings with hyperlinks to descriptive text, material management data, and procedures for safety, operating, and installation. A unique aspect is the set of hyperlinks to an expert system shell that aids field workers as the company moves to a process-oriented environment. The developed electronic standards book resides on the corporate server and appears as a well-linked web site. The book also resides on CD-ROM for field crews and has the same web site appearance as the corporate version. The CD-ROM version receives update information from the server. The full Internet capability and a seamless switch between those two web sites, based on a comprehensive logic, is provided by our developed standards Book Viewer which integrates the standard web browser MSIE 4.0. The integrated system is developed within a mixed language programming environment of Microsoft Visual++, Java, and HTML. The digitalization of the standards books is performed using an interactive approach.

关键词： intelligent systems standards development Books Internet Design automation Web server CD-ROMs Switches Safety Expert systems

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Evaluation of surface roughness of tumor using neural network

Evaluation of surface roughness of tumor using neural networ...

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Annual international conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： I. Akiyama S. Ogawa K. Omoto K. Itoh Department of Electrical Engineering Shonan Institute of Technology Fujisawa Japan Department of Clinical Pathology Jichi Medical School Tochigi Japan

Since surface roughness of a malignant tumor is more remarkable than that of a benign tumor, it is possible to classify pathological states of the tumor by computing the degree of surface roughness. We have proposed a method for the segmentation of the tumor in ultrasonic echography and confirmed the feasibility of the technique. This paper describes a neural network based classifier using the surface roughness of a breast tumor which is extracted from ultrasonic echography. We define nine parameters for evaluation of the surface roughness, which form an artificial neural network (ANN) input vector. The ANN output sequence displays two types of pathological states; malignant and benign. We use twenty seven benign tumors and twenty four malignant tumors for the feasibility study. Twenty four tumors are used for learning data and the other tumors are used for the trial. As a result, successful classification is obtained.

关键词： Rough surfaces Surface roughness Neural networks Artificial neural networks Malignant tumors Benign tumors Pathology Breast neoplasms Breast tumors Displays

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Adaptive and mobile biomimetic sonar recognizes objects from echoes

Adaptive and mobile biomimetic sonar recognizes objects from...

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OCEANS

作者： R. Kuc M.F. Kirichenko M.P. Lepekha Department of Electrical Engineering Yale University New Heaven CT USA Department of Intelligent Control Systems Cybernetics Institute National Academy of Sciences of Ukraine Kyiv Ukraine Department of Cybernetics Taras Shevchenko University Kyiv Ukraine

The task of recognizing objects from ultrasonic echoes using an adaptive and mobile sonar sensor is described. The biomimetic sensor consists of a center transmitter flanked by two receivers that adaptively rotate to maximize the echo bandwidth. The sonar is located at the end of a robot arm and moves in response to the echo time of flights to position an object along the transmitter axis at a known range and elevation to maximize the incident acoustic energy. A learning stage is first employed, followed by a recognition stage. The learning stage uses ultrasonic echoes from each object at its various poses with respect to the sonar and selects informative features from the echoes to form a data base. The recognition stage processes an observed echo to extract the informative feature vector and forms a classification based on the minimum distance of an observed point to a database entry. The sonar differentiates between the head and tail side of a coin in air (/spl lambda/=0.6 cm). This paper describes improvements in the sonar that makes it more robust and efficient. The time-of-flight is determined in a more robust manner by initially detecting a large echo and then searching backward in time to find the threshold crossing point. The data window size is made adaptive to capture only significant echo waveform data. The feature vector then has a variable size, providing structure to the data base to make the search more efficient. Separate feature vectors are determined for the right and left receivers rather than concatenating the two to form a single feature vector. This allows the object recognition to be more robust in the presence of masking echoes.

关键词： Biomimetics Sonar Robustness Biosensors Transmitters Sensor phenomena and characterization Bandwidth Robot sensing systems data mining Feature extraction

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An automatic monitoring system for artificial hearts using self-organizing map

An automatic monitoring system for artificial hearts using s...

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Annual international conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Xian-Sheng Wang M. Yoshizawa A. Tanaka K. Abe H. Takeda T. Yambe S. Nitta K. Imachi Grad. Sch. of Engineering University of Tohoku Sendai Japan Institute of Development Aging and Cancer University of Tohoku Sendai Japan Tohoku Gakuin University Tagajo Japan Grad. Sch. of Engineering University of Tokyo Tokyo Japan

The overall goal of the authors' research is an automatic, real-time and on-line monitoring system of artificial hearts. In this task, it is very important to automatically detect and classify abnormalities of the artificial heart control system and the recipient's circulatory system. The self-organizing map was applied to the pattern recognition of aortic pressure (AOP) which is considered to mostly represent the state of the circulatory system. The AOP signal data were fed to a Self-Organizing Map (SOM) beat by beat. During the unsupervised learning process the SOM units organize in such a way that similar AOP beat patterns were represented in particular areas of the SOM. The map location areas of the AOP signals in the different states of the circulatory system were also different. The results of visual examination revealed that the states of circulatory system were distinguished well by the map. It is expected that a map can be trained off-line with a large database and then used for on-line monitoring and analysis for artificial hearts.

关键词： Computerized monitoring Artificial heart Circulatory system Unsupervised learning Organizing Aging Real time systems Pattern recognition Visual databases Trajectory

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Tracking multiple objects in terrain

Tracking multiple objects in terrain

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IEEE international conference on Systems, Man and Cybernetics

作者： E. Sobiesk J.A. Hamilton J.A. Marin D.E. Brown M. Gini Department of Electrical Engineering & Computer Science United States Military Academy West Point NY USA Department of Systems Engineering University of Virginia Charlottesville VA USA Department of Computer Science University of Minnesota Minneapolis MN USA

The digitized battlefield of the 21st Century will revolutionize the methods used to maintain military command and control. The tremendous amount of data available will necessitate the use of intelligent automated systems that augment, and in some cases replace, the human structures currently in place. One aspect of such systems is terrain-based tracking. We discuss an intelligent terrain-based system for tracking multiple vehicles moving across terrain. Specifically, our system extracts and utilizes knowledge about groups to improve the performance of a discrete state-space motion model. Parallel programming techniques are utilized to compute probability densities for the vehicles. A learning component allows for real-time adjustment based on performance.

关键词： Land vehicles Military computing intelligent systems Air traffic control Sensor phenomena and characterization Target tracking Computer science Command and control systems data mining Working environment noise

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