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2008 International Conference on Artificial Intelligence and Pattern Recognition 2008, AIPR 2008

作者： Jirina, Marcel Jirina Jr., Marcl Institute of Computer Science Pod vodarenskou vezi 2 182 07 Prague 8 - Liben Czech Republic Faculty of Biomedical Engineering Czech Technical University in Prague Zikova 4 166 36 Prague 6 Czech Republic

ISBN: (纸本)9781615677184

Correlation dimension is usually used to study features of fractals and data generating processes. For estimation of value of correlation dimension in a particular case often a polynomial approximation of correlation integral is used and then the linear regression for logarithms of variables is applied. In this paper we show that correlation integral can be decomposed into functions each related to particular point of data space. For these functions one can use similar polynomial approximations as for the correlation integral. Essential difference is that value of exponent, which would correspond to correlation dimension, differs in accordance to position of point in question. Moreover we show that multiplicative constant represents probability density estimation at that point. This finding is used for construction of a classifier. Tests with some data sets from Machine Learning Repository shows that this classifier can be very effective.

关键词： Polynomial approximation

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The HomeCare and Circadian rhythm

The HomeCare and Circadian rhythm

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： M. Cerny M. Penhaker Biomedical Engineering Laboratory Faculty of Electrical Engineering and Computer Science Department of Measurement and Control Technical University of Ostrava Ostrava Czech Republic Department of Measurement and Control Vice director Biomedical Engineering Laboratory Director Faculty of Electrical Engineering and Computer Science Technical University of Ostrava Ostrava Czech Republic

The HomeCare is a special monitoring system of the basic life functions. It has been primarily designed to take care for elderly people. But many of the designed devices could be used in the other branches of biotelemetry. Our HomeCare system is designed with respect to user comfort and it uses as cheap technical solutions as possible. In cooperation with the Ostrava University a Homecare Testing Flat has been realized. There are tested our Homecare solutions in vivo. This article is focused on the designed HomeCare system, on measured parameters and on used wireless technologies. The Circadian rhythm measurement and its usage in the HomeCare system are discussed in the article too.

关键词： Circadian rhythm biomedical measurements Electrocardiography biomedical engineering Laboratories biomedical monitoring computer science Blood Testing Medical control systems

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Correlation integral decomposition for classification

Correlation integral decomposition for classification

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18th International Conference on Artificial Neural Networks, ICANN 2008

作者： Jirina, Marcel Jirena Jr., Marcel Institute of Computer Science AS CR Pod vodarenskou vezi 2 182 07 Prague 8 - Liben Czech Republic Faculty of Biomedical Engineering Czech Technical University in Prague Nam. Sitna 3105 272 01 Kladno Czech Republic

ISBN: (纸本)3540875581

In this paper we show that the correlation integral can be decomposed into functions each related to a particular point of data space. For these functions, one can use similar polynomial approximations as used in the correlation integral. The essential difference is that the value of the exponent, which would correspond to the correlation dimension, differs in accordance to the position of the point in question. Moreover, we show that the multiplicative constant represents the probability density estimation at that point. This finding is used for the construction of a classifier. Tests with some data sets from the Machine Learning Repository show that this classifier can be very effective. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Polynomial approximation

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Risk management in integrated biomedical engineering preventive maintenance information network

Risk management in integrated biomedical engineering prevent...

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International Symposium on Information Technology, ITSim

作者： M. Boroojerdi S.K. Setaredan J. Tavakoli H. Mollaee Electric and computer science faculty University of Tehran Iran Professor of electric and computer science University of Tehran Iran Biomedical engineering Department Erfan Hospital Iran Persia Shabake company Iran

It is indicated that automated operations and electronic data are often inadequately protected. One of the major underlying problems is poor designed security management. A principle challenge many authorities face is in identifying and ranking the information security risks to their operations, which is the first step in developing and managing an effective security program. Taking this step helps hospitals identify the most significant risks and determines what actions are appropriate to mitigate them. In this research technological threats that concern the data and processes in an integrated biomedical engineering preventive maintenance network are considered. Correlation of data and processes implies that threats affect both data and the correlating processes. In case report the risk management and analysis process for Erfan hospital in Iran is presented. High level management should follow the presented analysis as a framework to guide the ongoing implementation efforts and evaluate the cost of the project. In addition, service level agreements should incorporate the proposed guidelines and countermeasures. It is clear that the efficient mapping of data and correlated processes is crucial success factor in the implementation of complex integrated network.

关键词： Risk management Hospitals Law Legal factors Availability Preventive maintenance biomedical engineering

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Optimal design of musculoskeletal models using force field data

Optimal design of musculoskeletal models using force field d...

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

作者： Sang Hoon Yeo Matthew C. Tresch Dinesh K. Pai Department of Computer Science University of British Columbia Vancouver BC Canada Faculty of Biomedical Engineering Physical Medicine and Rehabilitation Physiology Northwestern University Chicago IL USA Faculty of Computer Science University of British Columbia Vancouver BC Canada

We propose an optimal design framework for a musculoskeletal model. A six degrees of freedom generalized force field at an end effector is measured by activating a specific muscle in-situ. Given that we have a musculoskeletal simulation model with a set of undetermined design parameters, the framework chooses the optimal parameters which minimize the difference between simulated and measured force field data. To ensure generality, the framework is model independent, which means that any type of musculoskeletal model can be applied. As a generalized method, a PID (Proportional-Integral-Derivative) controller and an empirical Jacobian are used to correctly simulate the force field without suffering from numerical issues such as stability and indeterminacy. Case studies of the muscles of the rat hind limb show a satisfactory capability of the framework.

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Neuro-Fuzzy System for Post-Dialysis Urea Rebound Prediction

Neuro-Fuzzy System for Post-Dialysis Urea Rebound Prediction

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Cairo International biomedical engineering Conference, CIBEC

作者： A. T. Azar A. H. Kandil K. M. Wahba A. M. Elgarhy W. A. Massoud Biomedical Engineering Department Misr University for Science and Technology 6th of October City Egypt Systems and Biomedical Engineering Department Faculty of Engineering Cairo University Egypt Electronics Communication and Computer Department Faculty of Engineering Helwan University Egypt Consultant Nephrology Head of Nephrology Department Ahmad Maher Teaching Hospital Cairo Egypt

Measuring post dialysis urea rebound (PDUR) requires a 30- or 60-minute post-dialysis sampling, which is inconvenient. This paper presents a novel technique for predicting equilibrated urea concentration and post dialysis urea rebound in the form of a Takagi-Sugeno-Kang fuzzy inference system. The advantage of this neuro-fuzzy hybrid approach is that it doesn't require 30-60-minute post-dialysis urea sample. Adaptive neuro-fuzzy inference system (ANFIS) was constructed to predict equilibrated urea (C eq ) taken at 60 min after the end of the hemodialysis (HD) session in order to predict PDUR. The accuracy of the ANFIS was prospectively compared with other traditional methods for predicting equilibrated urea (C eq ), PDUR and equilibrated dialysis dose (e q Kt/V). The results are highly promising, and a comparative analysis suggests that the proposed modeling approach outperforms artificial neural networks and other traditional urea kinetic models (UKM).

关键词： Fuzzy neural networks Fuzzy systems Artificial neural networks biomedical engineering Adaptive systems Predictive models Neural networks Power system modeling Sampling methods High definition video

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Platform presentations

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Surgical and radiologic anatomy : SRA 2009年第1期31 Suppl 1卷 49-93页

作者： Jaime Pereda Gen Niimi Jagat Mohini Kaul Sabita Mishra Babita Pangtey Daniele Peri Vincenza Cannella Giovanni Peri A Valentino Francesco Li Volsi Rosaria Lo Verde E Russo A Sciuto Annalisa Sunseri Giuseppe Modica Gianpiero Gravante Seok Ling Ong Matthew Metcalfe David Lloyd Ashley Dennison Veronica Macchi Andrea Porzionato Anna Parenti Raffaele De Caro Kawthar I F Al-Harmni Zohair I F Rahemo Hussain I A Al-Khan Vedat Bakan Gulen Demirpolat Mahmut Bozkurt Yakup Gumusalan Niyazi Acer Mehmet Demir Hulusi Taskoparan Akcan Akkaya Birdal Yildirim Mehmet Camurdanoglu Gul Guven Hilmi Ozden Sahin Kabay Cengiz Ustuner Dilek Burukoglu Derya Ustuner Irfan Degirmenci Fahrettin Akyuz Neslihan Tekin Fulya Kucuk Firdevs Gurer M Cengiz Ustuner Davut Ozbag Mesut Ozkaya Harun Ciralik Fatma Inanc Tolun Fatih Yuzbasioglu Seda Arslan Ghazaleh Moshkdanian Fatemeh Pouya Amirmahdi Nematollahi-Mahani Seyed Noureddin Nematollahi-Mahani Ralph Ger Jeremy Nikfarjam Kathy Dooley Shuwei Liu Zhenping Li Xiangtao Lin Haiwei Meng Cheng Liu Lei Feng Min Suk Chung Dong Sun Shin Eric Havet Anne-Claire Dujardin Fabrice Duparc Pierre Freger Anitha Oommen Christoph Stosch Jürgen Koebke Stefan Herzig Adam Jqbal Paul Gazzani Tim Rattay Birgit Fruhstorfer Anil Vohrah Richard M Wellings Stephen Brydges Gregory R Smith Jamie Roebuck Peter H Abrahams Vaclav Baca Michal Otcenasek Filip Svatos Tereza Smrzova Robert Grill David Kachlik Jan Skubal Valer Dzupa Alena Doubkova Ivo Klepacek Josef Stingl Muddathir Ali Yahya Bedir Günther Weber Karim Malek Amos Patrick Brent Rochambeau Phil Knickelbein Da-Yae Choi Mi-Sun Hur Kwan-Hyun Youn Kyung-Seok Hu Hee-Jin Kim Fadullah Aksoy Yavuz Selim Yildirim Orhan Ozturan Hurtan Acar Hasan Demirhan Bayram Veyseller Jean Michel Prades Andrei Timoshenko Alexander Asanau Marie Gavid Christian Martin Benoit Ayestaray Isabelle Auquit-Auckbur Pierre-Yves Millez Burcu Ercakmak Alp Bayramoglu Hakan Ozsoy Deniz Demiryurek Eray Tuccar Keiichi Akita Kumiko Yamaguchi Atsuo Kato Tomoyuki Mochizuki Julien Beldame Jean-Philippe Mure Benjamin School of Medicine Universidad de Santiago de Chile Santiago Chile. jaime.pereda@usach.cl. Laboratory of Electron Microscopy Fujita Health University Toyoake Aichi Japan. Department of Anatomy Maulana Azad Medical College New Delhi India. Department of Computer Engineering University of Palermo Palermo Italy. Department of Experimental Medicine University of Palermo Palermo Italy. Department of Surgery and Oncology University of Palermo Palermo Italy. Department of Hepatobiliary and Pancreatic Surgery University Hospitals of Leicester Leicester UK. Department of Human Anatomy and Physiology Institute of Anatomy University of Padova Padova Italy. Department of Medical Diagnostic Sciences and Special Therapies Section of Pathology University of Padova Padova Italy. Department of Biology College of Science University of Mosul Mosul Iraq. Department of Pediatric Surgery Kahramanmaras Sutcu Imam University Faculty of Medicine Kahramanmaras Turkey. Department of Radiology Kahramanmaras Sutcu Imam University Faculty of Medicine Kahramanmaras Turkey. Department of Radiology Erzurum Numune State Hospital Erzurum Turkey. Department of Anatomy Kahramanmaras Sutcu Imam University Faculty of Medicine Kahramanmaras Turkey. Department of Anatomy School of Health Sciences Mugla University Mugla Turkey. Vocational School of Higher Education For Health Services Kilis 7 Aralik University Gaziantep Turkey. Department of Urology Mugla Governmental Hospital Mugla Turkey. Department of Anesthesiology Mugla Governmental Hospital Mugla Turkey. Department of Emergency Services Mugla Governmental Hospital Mugla Turkey. Department of Radiology Mugla Governmental Hospital Mugla Turkey. Department of Anatomy Eskisehir Osmangazi University Faculty of Medicine Eskisehir Turkey. Department of Anatomy Eskisehir Osmangazi University Faculty of Medicine Eskisehir Turkey. Department of Urology Dumlupinar University Faculty of Medicine Kutahya Turkey. Department of Medical Bio

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Recognition of human iris patterns for biometric identification

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Journal of engineering and Applied science 2007年第6期54卷 635-651页

作者： Ali, E.M. Ahmed, E.S. Ali, A.F. Integrated Thebes Academy for Science Thebes Higher Institute of Management and Information Technology Computer Science Department Faculty of Computers and Information Helwan University Biomedical Engineering Department Faculty of Engineering Helwan University

In this paper, efficient biometric security technique for iris recognition system with high performance and high confidence is proposed. The proposed system is based on an empirical analysis of the iris image and it is split into several steps using local image properties. The system steps are, the preprocessing stage;determine the location of the iris boundaries;converting the iris boundary to the stretched polar coordinate system;extracting the iris code based on texture analysis using wavelet transforms;and classification of the iris code. The proposed system uses the haar wavelet transforms for texture analysis, and it depends heavily on knowledge of the general structure of a human iris. Experimental results showed that the proposed technique has a quite effective performance and encouraging results, with error rate 0.6% in case of CASIA database and 16.6% in Ubiris database. The proposed technique could potentially improve iris identification efficiency, the system only needs to store 25 x 25 images feature vector which increases the matching process speed and decreases the system complexity compared with other techniques. The subject image is not compared to every image in the database, thereby decreasing the search time and simplifying the computational complexity.

关键词： Biometrics

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Assessment and training of hand dexterity in virtual environment

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Journal Europeen des Systemes Automatises 2007年第2期41卷 219-238页

作者： Veber, Mitja Kurillo, Gregorij Bajd, Tadej Munih, Marko University of Ljubljana Faculty of Electrical Engineering Laboratory of Robotics and Biomedical Engineering Slovenia University of California Department of Electrical Engineering and Computer Science Berkeley CA United States

We designed two systems for assessment and training of force coordination and hand dexterity in virtual environment. In the first system subjects aligned a real object with the reference virtual object. Pose of hand segments and object was assessed with motion tracking system. The study revealed repeatability of trajectories of movements and a significant delay in the movements of joints when close to their mechanical constraints. The second device was designed to simultaneously assess isometric forces applied by the fingers. Mathematical model of grasping was applied to achieve multi-fingered interaction with virtual objects. Several tasks were developed with the aim to improve grip force coordination and increase muscle strength of patients after stroke through repetitive exercises. © 2007 Lavoisier.

关键词： Virtual reality

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Isometric finger device for assessment and training of force coordination using virtual reality

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Journal of Medical Devices, Transactions of the ASME 2007年第4期1卷 279-282页

作者： Kurillo, Gregorij Mihelj, Matjaž Munih, Marko Bajd, Tadej Laboratory of Robotics and Biomedical Engineering Faculty of Electrical Engineering University of Ljubljana Tržaška 25 1000 Ljubljana Slovenia Department of Electrical Engineering and Computer Science University of California Berkeley Hearst Memorial Mining Building 475 Berkeley CA 94720 United States

Grasping of stroke patients is often affected by improper coactivation of muscles controlling the fingers. The restoration of hand function therefore represents an important goal in rehabilitation. Quantitative data on coordination between fingers can be helpful for the assessment of therapy effectiveness. We have designed a novel isometric finger device to assess three-dimensional forces applied by the thumb, index, and middle finger. The device was used in connection with a simple virtual reality task where the patient had to open a safe by sequentially rotating a knob using the isometric finger input. The presented virtual reality application was evaluated in a group of healthy subjects and a chronic stroke patient to obtain preliminary performance results. We analyzed the coordination of fingertip forces between the thumb and opposing fingers. Pearson correlation coefficient was determined to assess the coordination of force in each direction. In healthy subjects, the analysis of the fingertip forces showed precise coordination of force between the fingers to control a virtual object. The performance of the stroke patient was considerably lower due to reduced muscle control and presence of strong spasticity. The results showed use of excessive force in both hands and lower coordination of force between the fingers as compared to the healthy subjects. The proposed virtual reality system is considered as a complementary method to the existing methods used in physical and occupational therapy. Specific virtual reality tasks could be designed to train coordination of force between the affected fingers. Copyright © 2007 by ASME.

关键词： Biomechanics

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