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7th ifac symposium on modelling and control in biomedical systems (including Biological systems) MCBMS'09

ISBN: (纸本)9783902661494

the proceedings contain 75 papers. the topics discussed include: modeling the double peak phenomenon in pharmacokinetics;an in-silico analysis of the smart study of HIV infection;fatigue and non-fatigue mathematical muscle models during functional electrical stimulation of paralyzed muscle;lung movement determination in temporal sequences of MR images using HOUGH transform and interval arithmetics;model-based decision support system to improve diabetes care and management;SVM based follow-up system for brain tumor evolution from magnetic resonance images;a priori knowledge based frequencydomain quantification of magnetic resonance spectroscopy;model reduction for adaptation in surgery anaesthesia;a new general glucose homeostatic model using a proportional-integral-derivative controller;and respiratory mechanics monitoring during artificial ventilation: batch algorithms and their accuracy.

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Identification of human mass properties from motion

Identification of human mass properties from motion

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15th ifac symposium on System Identification, SYSID 2009

作者： Venture, Gentiane Ayusawa, Ko Nakamura, Yoshihiko University of Tokyo 7-3-1 Hongo Bunkyo-ku 113-8656 Tokyo Japan

ISBN: (纸本)9783902661470

We experimentally identify the human body dynamics from motion capture data and contact force measurements. We make use of the 6 base-link equations to write the identification model. We have shown that the obtained system is sufficient to estimate the whole base inertial parameters. the method is computationally efficient;and allows to identify the pure inertial parameters without transmission, friction considerations. However finding persistent exciting trajectories is a drawback of the method. In this paper we put emphasis in describing persistent exciting trajectories that are suitable to obtain accurate results. We propose a method to automatically select the set of motions used for the identification in order to optimize the computation time and the accuracy of the identified parameters. For the experiments we make use of gymnastic motions. Each of the 3 subjects -of different body conformations- perform 29 types of motions. the identification method and the automatic motions selection method are both applied to obtain the inertial parameters of one subject. © 2009 ifac.

关键词： biomedical Dynamic modelling Excitation Human-body Least-squares identification Parameter identification

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the influence of omitting the prehistory on the accuracy of modelling dead time systems

The influence of omitting the prehistory on the accuracy of ...

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International symposium on Applied Computational Intelligence and Informatics ( SACI)

作者： T. L. Dragomir A. Codrean V. Ceregan Politehnica University of Timişoara Romania

the paper covers the problem involving the consequences of omitting to model the prehistory of dead time elements in control system modelling. It is shown that this omission is equivalent to the action of disturbances that can cause different effects, ranged from simple calculus differences to loss of stability. For this purpose three case studies are presented: a linear control system, a state feedback control system with limited control domain and a fuzzy control system affected by propagation delay.

关键词： Delay effects Calculus Linear feedback control systems control systems Computational modeling Computational intelligence Informatics Additives control system synthesis Stability

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Spatial accuracy of surgical robots

Spatial accuracy of surgical robots

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International symposium on Applied Computational Intelligence and Informatics ( SACI)

作者： T. Haidegger L. Kovacs B. Benyo Z. Benyo Department of Control Engineering and Information Technology (BME-IIT)-Biomedical Engineering Laboratory Budapest University슠of슠Technology슠and슠Economics Budapest Hungary

Robots have been introduced to the operating room primarily to provide higher accuracy and dexterity. Mechatronic devices can support surgeons with advanced targeting, visualization and task execution with a precision beyond the human skills. To evaluate a system, accuracy tests are required, and proper methodology should be applied to describe its properties. It is crucial in interventional medicine to test the application accuracy of a system, showing the overall task execution error. this may be a non-linear function of the intrinsic- and registration accuracies, as described in the paper. Different methods are presented to provide system characteristics. Also, the most important surgical robot systems are introduced in details along with their published accuracy measures. Despite the fact that the added value of a surgical robot is usually consistent with the precision it can achieve, the importance of overall safety, predictability and transparency many times overcomes the need for spatial precision.

关键词： Medical robotics Mechatronics System testing biomedical imaging Computational Intelligence Society Robot sensing systems Ultrasonic imaging Minimally invasive surgery Laparoscopes Surgical instruments

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Dual pulse frequency compounded super harmonic imaging for phased array transducers

Dual pulse frequency compounded super harmonic imaging for p...

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2009 IEEE International Ultrasonics symposium, IUS 2009

作者： Van Neer, P.L.M.J. Danilouchkine, M.G. Matte, G.M. Verweij, M.D. De Jong, N. Department of Biomedical Engineering Erasmus MC P. O. Box 2040 Rotterdam 3000 CA Netherlands Interuniversity Cardiology Institute of the Netherlands Utrecht 3501 DG Netherlands Department of Telecommunications Delft University of Technology Delft 2628 CD Netherlands Department of Physics of Fluids University of Twente P. O. Box 217 Enschede 7522 NB Netherlands

ISBN: (纸本)9781424443895

Second harmonic imaging is currently the standard in commercial echographic systems. A new modality, super harmonic imaging (SHI), is based on combining the 3rd to 5th harmonic generated during sound propagation in tissue. this emerging modality could further enhance resolution and quality of echographic images. To meet the bandwidth requirement for SHI an interleaved phased array was developed. Array elements used in transmission generally have bandwidths of ∼ 80% leading to gaps between harmonics in the spectral domain. this causes ripple artifacts in the echo image. Last year we introduced a new dual pulse frequency compounding method to reduce these artifacts and showed initial single element results [1]. In this work we implement and optimize the dual pulse method for an interleaved array on an ultrasound system and research its imaging characteristics, i.e. point spread functions (PSF). In the dual pulse SHI method each trace is constructed by the summing of two firings, the second slightly frequency shifted compared to the first. To study the dual pulse method's performance an interleaved array (44 1 MHz and 44 3.7 MHz elements, optimized for echocardiography) was used in combination with a fully programmable ultrasound system. Initial estimates for the frequencies of the first and second pulses as well as the pulse duration were optimized experimentally. Our findings confirm that the transfer functions of both transducer and system have to be taken into account to determine the optimal transmission frequencies for the dual pulse SHI method. Moreover, a trade off exists between dual pulse signal length and peak intensity. the optimal results with the dual pulse technique were achieved using a transmission length of 2:5 cycles and transmission frequencies of 0:87 MHz and 1:12 MHz. the lateral beam widths of the optimal dual pulse signal are 1:2 times smaller at the -6 dB level and equal at the -20 dB level compared to the third harmonic. the axial beam widths

关键词： Optical transfer function

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modelling and control of HIV dynamics

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COMPUTER MEthODS AND PROGRAMS IN BIOMEDICINE 2008年第2期89卷 162-168页

作者： Landi, Alberto Mazzoldi, Alberto Andreoni, Chiara Bianchi, Matteo Cauallini, Andrea Laurino, Marco Ricotti, Leonardo Luliano, Rodolfio Matteoli, Barbara Ceccherini-Nelli, Luca Univ Pisa Dept Elect Syst & Automat Pisa Italy Univ Pisa Interdept Res Ctr E Piaggio Pisa Italy Univ Pisa Virol Sect Dept Expt Pathol Pisa Italy

Various models of HIV infection and evolution have been considered in the literature. this paper considers a variant of the Wodarz and Nowak mathematical model, adding "aggressiveness" as a new state variable in order to quantify the strength of the virus and its response to drugs. Although the model proposed is relatively simple, simulation results suggest that it may be useful in predicting the impact of the effectiveness of therapy on HIV dynamics. (c) 2007 Elsevier Ireland Ltd. All rights reserved.

关键词： physiological models HIV biomedical system differential equations numerical simulations

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control system design of a 3-DOF upper limbs rehabilitation robot

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COMPUTER MEthODS AND PROGRAMS IN BIOMEDICINE 2008年第2期89卷 202-214页

作者： Deneve, Alexandre Moughamir, Saied Afilal, Lissan Zaytoon, Janan Univ Reims Ctr Rech Sci & Technol Informat & Commun F-51687 Reims 2 France

this paper presents the control system design of a rehabilitation and training robot for the upper limbs. Based on a hierarchical structure, this control system allows the execution of sequence of switching control laws (position, force, impedance and force/impedance) corresponding to the required training configuration. A model-based nonlinear controller is used to impose the desired environment to the patient's arm. the knowledge of robot kinematics and dynamics is thus necessary to ensure haptic transparency and patient safety. the identification process of robot dynamics is emphasised and experimental identification results are given for the designed robot. the paper also presents a particular rehabilitation mode named Active-Assisted. Simulation results of this rehabilitation mode illustrate the potentialities of the overall control scheme, which can also be applied to other rehabilitation robots. (c) 2007 Elsevier Ireland Ltd. All rights reserved.

关键词： biomedical systems robot control identification man/machine interaction

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A hybrid method for parameter estimation and its application to biomedical systems

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COMPUTER MEthODS AND PROGRAMS IN BIOMEDICINE 2008年第2期89卷 112-122页

作者： Alonso, Hugo Mendonca, Teresa Rocha, Paula Univ Porto Fac Ciencias Dept Matemat Aplicada P-4169007 Oporto Portugal Univ Aveiro Dept Matemat P-3810193 Aveiro Portugal

A general version of a hybrid method for parameter estimation is presented with a theoretical support and an illustrative example of application. this method consists of a curve fitting algorithm that takes the initial estimate of the parameterization from an artificial neural network. the idea is to improve the convergence of the algorithm to the sought parameterization using a close initial estimate. the motivation arises from biomedical problems where one is interested in obtaining a meaningful estimate so that it can be used for both description and prediction purposes. Two strategies are proposed for the application of the hybrid method: one is of general applicability, the other is intended for systems defined by the series connection of various blocks. the feasibility of the method is illustrated with a case study related to the neuromuscular blockade of patients undergoing general anaesthesia. (c) 2007 Elsevier Ireland Ltd. All rights reserved.

关键词： curve fitting algorithm artificial neural network neuromuscular blockade

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Hydrogen powered car control system

Hydrogen powered car control system

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ICINCO 2008 - 5th International Conference on Informatics in control, Automation and Robotics

作者： Vilem, Srovnal Jiri, Koziorek Bohumil, Horak George, Adam Georgia, Garani Department of Measurement and Control FEECS Technical University of Ostrava 17. listopadu 15 7083 Ostrava-Poruba Czech Republic Technological Educational Institute of Larissa Greece

ISBN: (纸本)9789898111319

the main goal of the research project was designing and realization a distributed control system of the hydrogen powered prototype car. Next goals of project were real time control, speed and final time optimizing with minimal fuel consumption and monitoring of driver biomedical parameters. the control system was realized by several mobile embedded systems and one central system. the embedded systems hardware was realized with Freescale processors and communication CAN bus. Central system hardware was realized by notebook and communication with embedded systems in car was realized by GSM communication. control system software using of multi-agent technology with dynamic mutual negotiation of mobile system parts. this task allows in a form of control system for prototype race car modelling of distributed control system. the real hardware and software model is also important motivation for extended research.

关键词： Distributed parameter control systems

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Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care

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COMPUTER MEthODS AND PROGRAMS IN BIOMEDICINE 2008年第2期89卷 141-152页

作者： Lin, Jessica Lee, Dominic Chase, J. Geoffrey Shaw, Geoffrey M. Le Compte, Aaron Lotz, thomas Wong, Jason Lonergan, Timothy Hann, Christopher E. Univ Canterbury Ctr Bioengn Dept Mech Engn Christchurch 1 New Zealand Univ Canterbury Dept Math & Stat Christchurch 1 New Zealand Christchurch Hosp Dept Intens Care Med Canterbury Dist Hlth Board Christchurch New Zealand Univ Otago Christchurch Sch Med & Hlth Sci Christchurch New Zealand

Targeted, tight model-based glycemic control in critical care patients that can reduce mortality 18-45% is enabled by prediction of insulin sensitivity, S-I. However, this parameter can vary significantly over a given hour in the critically ill as their condition evolves. A stochastic model of S-I variability is constructed using data from 165 critical care patients. Given S-I for an hour, the stochastic model returns the probability density function of S-I for the next hour. Consequently, the glycemic distribution following a known intervention can be derived, enabling pre-determined likelihoods of the result and more accurate control. Cross validation of the S-I variability model shows that 86.6% of the blood glucose measurements are within the 0.90 probability interval, and 54.0% are within the interquartile interval. "Virtual Patients" with S-I behaving to the overall S-I variability model achieved similar predictive performance in simulated trials (86.8% and 45.7%). Finally, adaptive control method incorporating S-I variability is shown to produce improved glycemic control in simulated trials compared to current clinical results. the validated stochastic model and methods provide a platform for developing advanced glycemic control methods addressing critical care variability. (c) 2007 Elsevier Ireland Ltd. All rights reserved.

关键词： stochastic modelling insulin sensitivity blood glucose intensive care adaptive control probability intervals control protocol simulations

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