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

作者： Honggu Chun Hee Chan Kim Daewon Sohn Interdisciplinary Program of Medical and Biological Engineering College of Medicine Seoul National University South Korea Department of Biomedical Engineering College of Medicine Seoul National University South Korea Department of Internal Medicine College of Medicine Seoul National University South Korea

Left ventricular relaxation time constant (/spl tau/) has been widely used in analysis of ventricular diastolic function. A new criterion to detect the ending point of isovolumic relaxation period (IRP) for the estimation of /spl tau/ in the left ventricular pressure waveform was developed. The proposed method is based on the pattern classification of mean square error between the original and the reconstructed pressure waveforms. We verified the performance of the new method using over 20,000 beats obtained from 96 patients. It showed that the proposed method provides more stable and accurate estimation results. The developed method is now being used in clinical application of real-time analysis of left ventricular diastolic function during cardiac catheterization procedure.

关键词： Equations Valves biomedical engineering Mercury (metals) engineering in medicine and biology Educational institutions Electronic mail Pattern classification Mean square error methods Catheterization

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Development and in vivo application of the nerve stimulator and EMG analysis system for selective posterior rhizotomy

Development and in vivo application of the nerve stimulator ...

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

作者： S.H. Kwon H.C. Kim C.W. Oh Interdisciplinary Program of Medical and Biological Engineering Graduate School College of Medicine Seoul National University South Korea Department of Biomedical Engineering College of Medicine Seoul National University South Korea Department of Neurosurgery College of Medicine Seoul National University South Korea

A computerized system composed of neurostimulator and EMG signal acquisition and real-time analysis system has been developed to be used for selective posterior rhizotomy. As a preliminary study for the clinical application of the developed system, we performed a series of animal experiments using cats. From the results of in vivo application, we verified the basic system performance and found that latency, amplitude variance and waveform variance are useful parameters to differentiate sensory nerve from motor nerve. The underlying mechanisms of these phenomena were also provided. These findings were utilized in establishing the objective criterion in nerve selection for selective posterior rhizotomy.

关键词： In vivo Electromyography Pulse amplifiers Signal analysis Space vector pulse width modulation Neurosurgery Animals Extremities Voltage biomedical engineering

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A neural network classifier for the automatic interpretation of epileptogenic zones in F-18FDG brain PET

A neural network classifier for the automatic interpretation...

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

作者： Jae Sung Lee Seok-Ki Kim Dong Soo Lee Myung Chul Lee Kwang Suk Park Interdisciplinary Program in Medical and Biological Engineering Major Seoul National University Seoul South Korea Department of Nuclear Medicine College of Medicine Seoul National University Seoul South Korea Department of Biomedical Engineering College of Medicine Seoul National University Seoul South Korea

For the objective interpretation of cerebral metabolic patterns in epilepsy patients, we developed a computer-aided classifier using artificial neural network. We studied interictal brain FDG PET scans of 257 epilepsy patients which were diagnosed as normal (n=64), left temporal lobe epilepsy (n=112), or right temporal robe epilepsy (n=81) by visual interpretation. Automatically segmented volumes of interest (VOI) were used to reliably extract the features representing patterns of cerebral metabolism. All images were spatially normalized to MNI standard PET template and smoothed with 16 mm FWHM Gaussian kernel using SPM96. Mean count in cerebral region was normalized. The VOI for 34 cerebral regions were previously defined on the standard template and 17 different counts of mirrored regions to hemispheric midline were extracted from spatially normalized images. A three-layer feedforward error backpropagation neural network classifier with 17 input nodes and 3 output nodes was used. The network was trained to interpret metabolic patterns and produce identical diagnoses with those of expert viewers. The performance of the neural network was optimized by testing with 5/spl sim/40 nodes in hidden layer. Randomly selected 40 images from each group were used to train the network and the remainders were used to test the learned network. The optimized neural network gave a maximum agreement rate of 80.3% with expert viewers. It used 20 hidden nodes and was trained for 1508 epochs. Also, neural network gave agreement rates of 75/spl sim/80% with 10 or 30 nodes in hidden layer. We conclude that artificial neural network performed as well as human experts and could be potentially useful tool as clinical decision supporting tool for the localization of epileptogenic zones.

关键词： Neural networks Biological neural networks Artificial neural networks Epilepsy Positron emission tomography Testing Computer networks Temporal lobe Image segmentation Computer network reliability

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Display of coregistered cross-modality images using time-weighted alternation method

Display of coregistered cross-modality images using time-wei...

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作者： Sung Lee, Jae Chee, Youngjoon Kim, Boyeon Lee, Jong Min Park, Kwang Suk Kwark, Cheoleun Lee, Myung Chul Interdisciplinary Program in Medical and Biological Engineering Major Department of Biomedical Engineering Seoul National University Korea Republic of

Cross-modality coregistration of functional and anatomical images has rapidly grown as the aid for the interpretation of functional images. Various methods have been previously investigated so that the coregistered images can be easily interpreted and realistically visualized. We used the time/intensityweighted alternation method to display the coregistered images simultaneously. Stereotactic registration was done with two methods. We realized the automated method of alignment using the boundary of head scalp extracted from the sinogram of a PET emission scan and surface-matching algorithm in brain, and the semi-automated method using a paired point-matching algorithm in the chest and abdomen. For the simultaneous display of the stereotactically registered images, rapid switching of the screens were applied on which both images were written with independent color scales. Rapid alternate display of two images, that is synchronized using the monitor scanning process, could induce the fusion of images in the human visual perception system. Also, intensification of an interesting image is possible by weighting the displaying time or global intensities of images with the degree of interest. These techniques could be useful for the interpretation and visualization of the coregistered images. © 1997 The authors.

关键词： Display devices

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Contributory presentations/posters

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Journal of Biosciences 1999年第1期24卷 33-198页

作者： N. Manoj V. R. Srinivas A. Surolia M. Vijayan K. Suguna R. Ravishankar R. Schwarzenbacher K. Zeth Diederichs G. M. Kostner A. Gries P. Laggner R. Prassl Madhusudan Pearl Akamine Nguyen-huu Xuong Susan S. Taylor M. Bidva Sagar K. Saikrishnan S. Roy K. Purnapatre P. Handa U. Varshney B. K. Biswal N. Sukumar J. K. Mohana Rao A. Johnson Vasantha Pattabhi S. Sri Krishna Mira Sastri H. S. Savithri M. R. N. Murthy Bindu Pillai Kannan M. V. Hosur Mukesh Kumar Swati Patwardhan K. K. Kannan B. Padmanabhaa S. Sasaki-Sugio M. Nukaga T. Matsuzaki S. Karthikevan S. Sharma A. K. Sharma M. Paramasivam P. Kumar J. A. Khan S. Yadav A. Srinivasan T. P. Singh S. Gourinath Neelima Alam A. Srintvasan Vikas Chandra Punit Kaur Ch. Betzel S. Ghosh A. K. Bera S. Bhattacharya S. Chakraborty A. K. Pal B. P. Mukhopadhyay I. Dey U. Haldar Asok Baneriee Jozef Sevcik Adriana Solovicova K. Sekar M. Sundaralingam N. Genov Dong-cai Liang Tao Jiang Ji-ping Zhang Wen-rui Chang Wolfgang Jahnke Marcel Blommers S. C. Panchal R. V. Hosur Bindu Pillay Puniti Mathur S. Srivatsun Ratan Mani Joshi N. R. Jaganathan V. S. Chauhan H. S. Atreya S. C. Sahu K. V. R. Chary Girjesh Govil Elisabeth Adjadj Éric Quinjou Nadia Izadi-Pruneyre Yves Blouquit Joël Mispelter Bernadette Heyd Guilhem Lerat Philippe Milnard Michel Desmadreil Y. Lin B. D. Nageswara Rao Vidva Raghunathan Mei H. Chau Prashant Pesais Sudha Srivastava Evans Coutinho Anil Saran Leizl F. Sapico Jayson Gesme Herbert Lijima Raymond Paxton Thamarapu Srikrishnan C. R. Grace G. Nagenagowda A. M. Lynn Sudha M. Cowsik Sarata C. Sahu S. Chauhan A. Bhattacharya G. Govil Anil Kumar Maurizio Pellecchia Erik R. P. Zuiderweg Keiichi Kawano Tomoyasu Aizawa Naoki Fujitani Yoichi Hayakawa Atsushi Ohnishi Tadayasu Ohkubo Yasuhiro Kumaki Kunio Hikichi Katsutoshi Nitta V. Rani Parvathy R. M. Kini Takumi Koshiba Yoshihiro Kobashigawa Min Yao Makoto Demura Astushi Nakagawa Isao Tanaka Kunihiro Kuwajima Jens Linge Seán O. Donoghue Michael Nilges G. Chakshusmathi Girish S. Ratnaparkhi P. K. Madhu R. Varadarajan C. Tetreau Molecular Biophysics Unit Indian Institute of Science Bangalore India Austrian Academy of Sciences Institute of Biophysics and X-ray Structure Research Graz Austria Faculty of Biology University of Konstanz Germany Institute of Medical Biochemistry University of Graz Austria Howard Huges Medical Institute Department of Chemistry & Biochemistry University of California La Jolla USA Department of Chemistry & Biochemistry University of California San Diego La Jolla USA Molecular Biophysics Unit India Department of Microbiology &Cell Biology Indian Institute of Science Bangalore India Macromolecular Structure Laboratory NCI - Frederick Cancer Research and Development Center ABL - Basic Research Program Frederick USA Department of Crystallography and Biophysics University of Madras Chennai Biochemistry Department Indian Institute of Science Bangalore India Condensed Matter Physics Division B.A.R.C. Trombay Mumbai Condensed Matter Physics Division Bhabha Atomic Research Centre Trombay Mumbai IMCB The University of Tokyo Tokyo Japan Mitsubishi Chemical Corporation Yokohama Research Center Yokohama Japan Faculty of Pharmaceutical Sciences Chiba University Chiba Japan Department of Biophysics All India Institute of Medical Sciences New Delhi India Department of Biophysics All India Institute of Medical sciences New Delhi India Institüt Physiologische Chemie Hamburg Germany Biophysics Department Bose Institute Calcutta India Slovak Academy of Sciences Institute of Molecular Biology Bratislava Slovakia Indian Institute of Science Bioinformatics Centre Bangalore Departments of Chemistry and Biochemistry Biological Macromolecular Structure Center USA Bulgarian Academy of Sciences Institute of Organic Chemistry Sofia Bulgaria Chinese Academy of Sciences Institute of Biophysics Beijing China Novartis Pharma AG Preclinical Research Basel Switzerland Department of Chemical Sciences Tata Institute of Fundamental Research Mumbai India Solid State Physics Div

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A study on the modeling of nonlinear system using genetic programming

A study on the modeling of nonlinear system using genetic pr...

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

作者： Boyeon Kim Kwangsuk Park Interdisciplinary Program of Biomedical Engineering Major Seoul National University South Korea Department of Biomedical Engineering College of Medicine Seoul National University South Korea

Even though there are several deterministic methods for the modeling of linear systems, there is no standard method for the modeling of nonlinear systems. Most biological systems can be thought of as nonlinear systems. For the modeling of biological systems the authors have studied nonlinear systems using genetic programming. Time series were generated from the simple known nonlinear dynamics. Then nonlinear dynamics was estimated from these time series using genetic programming. For the tested nonlinear systems this suggested method estimated the nonlinear dynamics correctly. This method also has been applied for the modeling of the dynamics of the 24-hour electrocardiogram.

关键词： Nonlinear systems Genetic programming Nonlinear equations Dynamic programming Time measurement Biological system modeling Nonlinear dynamical systems Biological systems Genetic mutations Biological cells

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A study on the nonlinear dynamics of PR interval variability using surrogate data

A study on the nonlinear dynamics of PR interval variability...

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

作者： Jongmin Lee Kwangsuk Park Insun Shin Interdisciplinary Program in Medical and Biological Engineering Major Seoul National University in Korea South Korea Department of Biomedical Engineering Seoul National University Seoul South Korea Department of Mathematics Education Korea National University of Education South Korea

PR interval variability (PRV) has been proposed as a noninvasive tool for investigating the autonomic nervous system (ANS) as well as heart rate variability (HRV). The goal of this study is to determine whether PRV has nonlinear dynamics or not. The authors developed an automatic PR interval measurement algorithm, and tested it using MIT ECG databases. 24-hour Holter ECGs were acquired from 30 healthy adults. Surrogate data was generated from a simpler linear model to have similar statistical characteristics with the original data. To detect nonlinear dynamics of the time series, correlation dimension, Lyapunov exponent, and phase space reconstruction were evaluated in both data. The results showed that PRV was significantly different from the surrogate data in the tests. It was concluded that PR interval variability shows nonlinear behavior.

关键词： Heart rate variability Electrocardiography Nonlinear dynamical systems biomedical engineering Educational programs Systems engineering education Autonomic nervous system Databases Character generation Phase detection

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A new method of measuring ciliary beat frequency using image processing

A new method of measuring ciliary beat frequency using image...

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

作者： Wonjin Yi Kwangsuk Park Yanggi Min Meonghun Sung Interdisciplinary Program in Medical and Biological Engineering Major Seoul National University South Korea Department of Biomedical Engineering College of Medicine Seoul National University South Korea Department of Otolaryngology Head and Neck Surgery College of Med Seoul National University South Korea

Mucociliary clearance of the respiratory tract is one of the important defensive functions of the airway mucous. In this study, the authors developed a new method of measuring ciliary beat frequency (CBF) with high spatial resolution based on the image processing method. Microscopic ciliary images were digitized through an image grabbing board inside a PC, and data necessary for the power spectrum (FFT) analyses were extracted from these gray images by an image subtraction method. By means of FFT analyses, the maximum peak frequencies were found in each divided block of a whole acquired image. Finally using these frequencies, the authors composed frequency maps of various sizes showing the spatial distribution of CBF's in user specified resolution. The smaller the authors made the size of divided blocks included in analysis, the more detailed regional ciliary beat distributions they could evaluate.

关键词： Frequency measurement Image processing Image analysis Spatial resolution Pixel biomedical measurements Data mining biomedical imaging Optical sensors Optical microscopy

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