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Analyses of rotational singularities in ferret visual cortex

Analyses of rotational singularities in ferret visual cortex

Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004

作者： Vasamsetty, Vidyasagar Coppola, David M. Robinson, Charles J. Tainter, Kerrie Choi, Ben Dept. of Computer Science Louisiana Tech. Univ. Dept. of Biology Centenary College Cntr. Biomed. Eng. and Rehab Sci. Louisiana Tech. Univ. Biomedical Research Institute Shreveport LA Medical Center Shreveport VA

Activity maps of spatial orientation, obtained by intrinsic optical imaging of the mammalian visual cortex, show the formation of pinwheel-like structures that rotate either clockwise or counterclockwise around zero dimensional points called singularities. Any research that is oriented towards exploring the formation and physiological role of these singularities during an experiment requires an automated tool that can rapidly identify the location of these singularities. In this work we have developed such a tool that looks for the existence of singularities for a certain radius at every pixel location in the angle map. Using data from eleven ferrets, the number of singularities identified was a function of the search radius (0.03325, 0.04665, 0.05985, 0.07315, 0.08645, 0.09975, 0.11305, and 0.12635 mm) and level of image smoothing used. For a given smoothing value, the number of singularities decreased with increasing radius. But the rate of decrease was greater with less smoothing. The more the original image was smoothed, the fewer singularities were identified at a given radius. The trade off between search radius and image smoothing can be partially attributed to spatial sampling resolution.

关键词： Brain

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A new modeling method for objects with branching problem using non-uniform B-spline

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4th International Conference on Computational science, ICCS 2004

作者： Kim, Hyo Shin Kim, Yoon Hyuk Choe, Yeon Hyeon Kim, Sung-Min Cho, Taeg-Sang Mun, Joung Hwan Dept. of Bio-Mechatronic Engineering College of Life Science and Technology Sungkyunkwan University Korea Republic of School of Advanced Technology Kyunghee University Korea Republic of Sungkyunkwan University School of Medicine Korea Republic of Dept. of Biomedical Engineering School of Medicine Konkuk University Korea Republic of Dept. of Electrical Engineering and Computer Science KAIST Korea Republic of

ISBN: (纸本)3540221298

In many applications, objects are reconstructed from cross-sections for visualization, finite element and dynamic analysis. Although cross-section of an object may contain multiple contours, a few papers have dealt with branching problem. Moreover ends of branches are described flatly. In this paper, as a basic study for dynamic analysis of a human knee joint, we present a new modeling method which proposes a data-set for solving branching problem and handling convex-end-condition of branches. We select an initial standard point from lowest slice and decide a nearest standard point of the next slice and the next, in turns. Based on standard points, we complete the data-set by applying contour alignment. For 3D reconstruction, the surface is approximated by bicubic non-uniform B-spline surface fitting. This method provides the smooth surface model with C2 continuity and describes the convexity of ends of branches. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Interpolation

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Phase resetting in central and peripheral sinoatrial node cell models

Phase resetting in central and peripheral sinoatrial node ce...

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computers in Cardiology 2004

作者： Tsalikakis, D.G. Zhang, H.G. Fotiadis, D.I. Kremmydas, G.P. Unit of Medical Technology and Intelligent Information Systems Dept. of Computer Science University of Ioannina GR 45110 Ioannina Greece University of Manchester Manchester United Kingdom Biomedical Research Institute FORTH GR 45110 Ioannina Greece Unit of Medical Technology and Intelligent Information Systems Dept. of Computer Science University of Ioannina P.O box 1186 GR 45110 Ioannina Greece

We characterize the effects of external stimulation on central and peripheral sinoatrial node (SAN) cells using the Zhang et al. model [1]. Phase transition curves (PTCs) for brief (0.5ms) depolarizing and hyperpolarising electrical current pulses of varying amplitude and of timing spanning the whole period are obtained. The application of a critical depolarizing stimulus (about 0.4 nA) during the late repolarization phase of the action potential resulted in annihilation of activity in central SAN cells, revealing the existence of a stable singularity in the corresponding model configuration. The peripheral SAN cell does not exhibit a similar singularity and annihilation of the normal activity. © 2004 IEEE.

关键词： Cardiology

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Knowledge discovery in databases of biomechanical variables: Application to the sit to stand motor task

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Journal of NeuroEngineering and Rehabilitation 2004年第1期1卷 1-10页

作者： Vannozzi, Giuseppe Della Croce, Ugo Starita, Antonina Benvenuti, Francesco Cappozzo, Aurelio Dept. Hum. Movement and Sport Sci. Univ. Institute for Movement Science Roma Italy Department of Biomedical Sciences University of Sassari Sassari Italy Department of Informatics University of Pisa Pisa Italy Department of Rehabilitation AUSL 11 San Miniato Pisa Italy

Background: The interpretation of data obtained in a movement analysis laboratory is a crucial issue in clinical contexts. Collection of such data in large databases might encourage the use of modern techniques of data mining to discover additional knowledge with automated methods. In order to maximise the size of the database, simple and low-cost experimental set-ups are preferable. The aim of this study was to extract knowledge inherent in the sit-to-stand task as performed by healthy adults, by searching relationships among measured and estimated biomechanical quantities. An automated method was applied to a large amount of data stored in a database. The sit-to-stand motor task was already shown to be adequate for determining the level of individual motor ability. Methods: The technique of search for association rules was chosen to discover patterns as part of a Knowledge Discovery in Databases (KDD) process applied to a sit-to-stand motor task observed with a simple experimental set-up and analysed by means of a minimum measured input model. Selected parameters and variables of a database containing data from 110 healthy adults, of both genders and of a large range of age, performing the task were considered in the analysis. Results: A set of rules and definitions were found characterising the patterns shared by the investigated subjects. Time events of the task turned out to be highly interdependent at least in their average values, showing a high level of repeatability of the timing of the performance of the task. Conclusions: The distinctive patterns of the sit-to-stand task found in this study, associated to those that could be found in similar studies focusing on subjects with pathologies, could be used as a reference for the functional evaluation of specific subjects performing the sit-to-stand motor task. © 2004 Vannozzi et al;licensee BioMed Central Ltd.

关键词： knowledge discovery data mining association rules human movement sit to stand

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K-means nearest neighbor classifier for voice pathology

K-means nearest neighbor classifier for voice pathology

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IEEE INDICON 2004 - 1st India Annual Conference

作者： Ananthakrishna, T. Shama, Kumara Niranjan, U.C. Dept. of Studies in Computer Science University of Mysore Mysore-570 006 Karnataka Dept. of Electronics and Commn. Engg. Manipal Institute of Technology Manipal-576 104 Karnataka Department of E and C and Biomedical Engg. Manipal Institute of Technology Manipal-576 104 Karnataka

ISBN: (纸本)0780389093

The noninvasive acoustical analysis of normal and pathological voices help speech specialists to perform accurate diagnose of diseases. Pathological voices show higher vocal noise level due to malfunctioning of vocal cords. Addition of noise component in speech has found to change the spectral properties. In this study, we show the use of energy spectrum which is obtained from 21-channel filter-bank outputs, for the classification of pathological voices. A simple k-means nearest neighbor classifier based on spectral distance is designed and a good classification results have been reported. © 2004 IEEE.

关键词： Speech recognition

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The Healthgrid White Paper 3

The Healthgrid White Paper

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3rd Annual Conference of the Healthgrid Association, Healthgrid 2005

作者： Breton, Vincent Dean, Kevin Solomonides, Tony Aloisio, Giovanni Benkner, Siegfried Bilofsky, Howard Blanquer, Ignacio Brady, Michael Cannataro, Mario Chouvarda, Ioanna Claerhout, Brecht De Moor, Georges De Neve, Wilfried De Wagter, Carlos Fiore, Sandro Hassan, Kinda Heeren, Germaine Hernández, Vicente Herveg, Jean A.M. Hofmann, Martin Jones, Chris Koutkias, Vassilios Lloyd, Sharon Lonsdale, Guy Alonso, Victoria L. Maglaveras, Nicos Maigne, Lydia Malousi, Andigoni Martín-Sánchez, Fernando McClatchey, Richard Medico, Enzo Miguet, Serge Mirto, Maria Montagnat, Johan Nørager1, Sofie Nozaki, Kazunori Oliveira, Ilídio Castro Pennec, Xavier Poullet, Yves Merino, Juan Pedro Sánchez Strizh, Irina G. Taillet, Michel Tristram, Clive Tverdokhlebov, Nikolay Veltri, Pierangelo Ziegler, René CNRS-IN2P3 LPC Campus des Cézeaux AubiereCedex63177 France Internet Business Solutions Group Cisco Systems 9 New Square Bedfont Lakes Middlesex FelthamTW14 8HA United Kingdom University of the West of England Bristol CEMS Coldharbour Lane BristolBS6 6TH United Kingdom Center for Advanced Computational Technologies ISUFI Dept. of Innovation Engineering University of Lecce Via per Monteroni Lecce73100 Italy Institute of Scientific Computing University of Vienna Nordbergstrasse 15 ViennaA-1090 Austria University of Pennsylvania School of Engineering and Applied Science Computer and Information Science Center for Bioinformatics 1416 Blockley Hall 423 Guardian Drive PhiladelphiaPA19104-6021 United States Universidad Politecnica de Valencia Camino de Vera/n Valencia46022 Spain FRS FREng Dept. of Engineering Science Oxford University Parks Road OxfordOX1 3PJ United Kingdom Magna Graecia University of Catanzaro School of Bioinformatics and Biomedical Engineering Campus di Germaneto Viale Europa Germaneto Catanzaro88100 Italy Aristotle University The Medical School Lab of Medical Informatics Box 323 Thessaloniki54124 Greece Custodix NV Verlorenbroodstraat 120 Bus 14 MerelbekeB-9820 Belgium Research in Advanced Medical Informatics and Telematics UZ Gent 5K3 De Pintelaan 185 GentB9000 Belgium Department of Radiotherapy Ghent University Hospital Building P7 De Pintelaan 185 GentB-9000 Belgium Laboratoire LIRIS Université Lumière Lyon 2 Campus Porte des Alpes 5 avenue Pierre Mendès France Bron69676 France av. E.Mounierlaan 83 Brussels1200 Belgium Faculté de Droit de Namur - FUNDP Centre de Recherches Informatiques & Droit 5 rempart de la Vierge Namur5000 Belgium Schloss Birlinghoven Sankt Augustin53754 Germany CERN Geneva 231211 Switzerland Oxford University Computing Laboratory Wolfson Building OxfordOX1 3QD United Kingdom C&C Research Laboratories NEC Europe Ltd. Rathausallee 10 Sankt AugustinD-53757 Germany Medic

ISBN: (纸本)158603510X

Over the last four years, a community of researchers working on Grid and High Performance Computing technologies started discussing the barriers and opportunities that grid technologies must face and exploit for the development of health-related applications. This interest lead to the first Healthgrid conference, held in Lyon, France, on January 16th–17th, 2003, with the focus of creating increased awareness about the possibilities and advantages linked to the deployment of grid technologies in health, ultimately targeting the creation of a European/international grid infrastructure for health. The topics of this conference converged with the position of the eHealth division of the European Commission, whose mandate from the Lisbon Meeting was "To develop an intelligent environment that enables ubiquitous management of citizens’ health status, and to assist health professionals in coping with some major challenges, risk management and the integration into clinical practice of advances in health knowledge." In this context "Health" involves not only clinical procedures but covers the whole range of information from molecular level (genetic and proteomic information) over cells and tissues, to the individual and finally the population level (social healthcare). Grid technology offers the opportunity to create a common working backbone for all different members of this large "health family" and will hopefully lead to an increased awareness and interoperability among disciplines. The first HealthGrid conference led to the creation of the Healthgrid association, a non-profit research association legally incorporated in France but formed from the broad community of European researchers and institutions sharing expertise in health grids. After the second Healthgrid conference, held in Clermont-Ferrand on January 29th–30th, 2004, the need for a "white paper" on the current status and prospective of health grids was raised. Over fifty experts from different areas of grid tec

关键词： Health risks

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An algorithm for testing structure freeness of biomolecular sequences

Lecture Notes in Computer Science (including subseries Lectu...

引用

Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 2950卷 266-277页

作者： Kobayashi, Satoshi Yokomori, Takashi Sakakibara, Yasubumi Dept. of Computer Science Univ. of Electro-Communications Yokohama Japan Dept. of Mathematics School of Education Waseda University Tokyo Japan Japan Dept. of Biosciences and Informatics Keio University Chofu Japan

We are concerned with a problem of checking the structure freeness of S+ for a given set 5 of DNA sequences. It is still open whether or not there exists an efficient algorithm for this problem. In this paper, we will give an efficient algorithm to check the structure freeness of S+ under the constraint that every sequence may form only linear secondary structures, which partially solves the open problem. © Springer-Verlag 2004.

关键词： DNA sequences

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Motif extraction from weighted sequences

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11th International Conference on String Processing and Information Retrieval, SPIRE 2004

作者： Iliopoulos, Costas S. Perdikuri, Katerina Theodoridis, Evangelos Tsakalidis, Athanasios Tsichlas, Kostas Department of Computer Science King’s College London LondonWC2R 2LS United Kingdom Computer Engineering and Informatics Dept. Of University of Patras Patras26500 Greece 61 Riga Feraiou St Patras26221 Greece

ISBN: (纸本)9783540232100

We present in this paper three algorithms. The first extracts repeated motifs from a weighted sequence. The motifs correspond to words which occur at least q times and with hamming distance e in a weighted sequence with probability ≥ 1/k each time, where k is a small constant. The second algorithm extracts common motifs from a set of N ≥ 2 weighted sequences with hamming distance e. In the second case, the motifs must occur twice with probability ≥ 1/k, in 1 ≤ q ≤ N distinct sequences of the set. The third algorithm extracts maximal pairs from a weighted sequence. A pair in a sequence is the occurrence of the same substring twice. In addition, the algorithms presented in this paper improve slightly on previous work on these problems. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Hamming distance

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A method for arrhythmic episode classification in ECGs using fuzzy logic and markov models

A method for arrhythmic episode classification in ECGs using...

引用

computers in Cardiology 2004

作者： Tsipouras, M.G. Goletsis, Y. Fotiadis, D.I. Unit of Medical Technology and Intelligent Information Systems Dept of Computer Science University of Ioannina GR 45110 Ioannina Greece Biomedical Research Institute FORTH GR 45110 Ioannina Greece Michaelidion Cardiology Center GR 45110 Ioannina Greece Dept. of Economics University of Ioannina GR 45110 Ioannina Greece Unit of Medical Technology and Intelligent Information Systems Dept. of Computer Science University of Ioannina Campus P.O. BOX 1186 GR 45110 Ioannina Greece

A method for arrhythmic episode classification using only the RR-interval signal is presented. The method is based on fuzzy logic and Markov models, while classification is performed for nine categories of cardiac rhythms. A two-stage classifier is applied. In the first stage, a fuzzy system classifies the episode using the mean value and standard deviation of the RR-intervals. In the second, the RR-interval signal is transformed to character sequences, which are classified by Markov models. Two representation techniques are used for the extraction of the character sequences: symbolic dynamics and one based on the RR-interval length. The classification of an episode is achieved combining the outcomes of the two stages. The MIT-BIH arrhythmia database is used for the evaluation of the proposed method. The obtained results indicate high performance (accuracy 73%) in arrhythmic episode classification. © 2004 IEEE.

关键词： Electrocardiography

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A monte carlo study of randomised restarted search in ILP

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14th International Conference on Inductive Logic Programming, ILP 2004

作者： Železný, Filip Srinivasan, Ashwin Page, David in Prague Karlovo Nám. 13 Prague121 35 Czech Republic IBM India Research Laboratory Indian Institute of Technology Block 1 New Delhi110 016 India Dept. Of Biostatistics and Medical Informatics Dept. Of Computer Science University of Wisconsin 1300 University Ave. MadisonWI53706 United States

ISBN: (纸本)9783540229414

Recent statistical performance surveys of search algorithms in difficult combinatorial problems have demonstrated the benefits of randomising and restarting the search procedure. Specifically, it has been found that if the search cost distribution (SCD) of the non-restarted randomised search exhibits a slower-than-exponential decay (that is, a "heavy tail"), restarts can reduce the search cost expectation. Recently, this heavy tail phenomenon was observed in the SCD’s of benchmark ILP problems. Following on this work, we report on an empirical study of randomised restarted search in ILP. Our experiments, conducted over a cluster of a few hundred computers, provide an extensive statistical performance sample of five search algorithms operating on two principally different ILP problems (artificially generated graph data and the wellknown "mutagenesis" problem). The sample allows us to (1) estimate the conditional expected value of the search cost (measured by the total number of clauses explored) given the minimum clause score required and a "cutoff" value (the number of clauses examined before the search is restarted);and (2) compare the performance of randomised restarted search strategies to a deterministic non-restarted search. Our findings indicate that the cutoff value is significantly more important than the choice of (a) the specific refinement strategy;(b) the starting element of the search;and (c) the specific data domain. We find that the optimal value for the cutoff parameter remains roughly stable across variations of these three factors and that the mean search cost using this value in a randomised restarted search is up to three orders of magnitude (i.e. 1000 times) lower than that obtained with a deterministic non-restarted search. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Learning algorithms

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