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Data Classification for Analyzing Characteristics of Electrocardiogram and Electroencephalogram under Continuous Long-Time Mental Calculation and Rest

Data Classification for Analyzing Characteristics of Electro...

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International Conference on BioMedical engineering and Informatics (BMEI)

作者： Zhanfeng Ji Takenao Sugi Xingyu Wang Masatoshi Nakamura Department of Electrical and Electronic Engineering Saga University Saga Japan Department of Automation East China University of Science and Technology Shanghai China Research Institute of Systems Control Saga University Saga Japan

ISBN: (纸本)9781424441327

Electrocardiogram (EKG) and Electroencephalogram (EEG) are widely used for kinds of disorders detection. In case of EKG, RR interval series is used for heart rate variability (HRV) analysis, which is a reliable reflection of status of autonomic nervous system. HRV is a function of both physical and mental activity. In order to analyze the influence of metal stress on HRV, EKG signals including information of physical activities should be removed. In case of EEG, the major artifacts are induced by electromyogram (EMG) and electrooculogram (EOG). In order to analyze the influence of metal stress on EEG, the signals which include information of body movement should be removed. In this paper, we present a method to classify EEG and EKG signals, based on body movement estimation and artifacts detection. Long time recording are divided into segments and classified. The results indicate that the data classification method purposed in this paper is effective, and body movement is important for analyzing EKG and EEG.

关键词： Data analysis Electroencephalography Heart rate variability Information analysis Signal analysis Human factors Reflection Autonomic nervous system Electromyography Electrooculography

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Automatic sleep stage determination for sleep apnea syndrome patients: Multivariate probability distribution based on expert knowledge

Automatic sleep stage determination for sleep apnea syndrome...

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SICE Annual Conference

作者： Bei Wang Takenao Sugi Fusae Kawana Xingyu Wang Masatoshi Nakamura Department of Automation East China University of Science and Technology Shanghai China Department of Electrical and Electronic Engineering Saga University Saga Japan Department of Clinical Physiology Toranomon Hospital Tokyo Japan Research Institute of Systems Control Institute of Advanced Research and Education Saga University Saga Japan

In this study, the multivariate probability distribution was investigated to develop the expert knowledge-based automatic sleep stage determination technique. The ultimate purpose is to develop adaptive automatic sleep stage determination algorithm for clinical practice. Gaussian distribution was adopted to realize automatic parameter selection while Cauchy distribution was adopted to estimate the parameter distribution. The different usage of multivariate probability distribution of Gaussian and Cauchy distribution presented effectiveness for automatic sleep stage determination.

关键词： Sleep apnea Probability distribution Inspection Electronic mail Hospitals Parameter estimation Electroencephalography Electromyography Physiology Gaussian distribution

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An innovative generation control system for improving design and stability of shipboard medium-voltage DC Integrated Power System

An innovative generation control system for improving design...

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IEEE Electric Ship Technologies Symposium, ESTS

作者： Vittorio Arcidiacono Antonello Monti Giorgio Sulligoi Research & Development Division M. A. I. Control Systems Limited Milan Italy Institute of Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Aachen Germany Department of Electrical Electronic and Computer Engineering University of Trieste Trieste Italy

Ensuring system stability in medium-voltage DC (MVDC) integrated power systems (IPS) is a key issue, due to the presence of many shipboard electric users fed by constant power load (CPL) converters. This paper presents an innovative control system aimed at utilizing alternators, connected to the IPS through controlled AC-DC interface converters, to improve MVDC stable voltage control. Such system is designed to control, for each shipboard generator, the AC machine voltage, the prime mover speed and the interface converter, in an integrated way. Technological aspects and control principle scheme of this system will be presented in the paper, with particular reference to the issue of DC-link voltage stability. This system is expected to bring advantages in terms of MVDC IPS integration, stable parallel operation of generators and loads, safe exploitation of alternators capability as a source of stabilizing power.

关键词： Power system stability DC generators Power generation control systems Medium voltage Power system control Power systems Voltage control Alternators Analog-digital conversion

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A device for automatic measurement of the critical, care patient's urine output

A device for automatic measurement of the critical, care pat...

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IEEE International Symposium on Intelligent Signal Processing

作者： Abraham Otero Teodor Akinfiev Roemi Fernandez Francisco Palacios Department of Information and Communications Systems Engineering University San Pablo CEU Madrid Spain Automatic Control Department Spanish Council of Scientific Research IAI/CSIC-Industrial Automation Institute Madrid Spain Critical Care Unit University Hospital Getafe Madrid Spain

ISBN: (纸本)9781424450572

This paper presents a patent-pending device capable of recording and supervising the urine output of a critical care patient. The device is based on a high precision scale that measures the weight of a commercial urine meter. To isolate the device from the patient's movements, and to guarantee that the urine flows properly through the various tubes of the urine meter, we have designed a support frame made up of Bosch profiles. The scale's readings are captured by an electronic unit and sent to a PC via Bluetooth. A Java application running on the PC records them and supervises the therapeutic goals that the healthcare staff has established for the urine output, and warns of any deviation from these goals. This device does not break the sterility of the commercial urine meter and is easy to build with readily available components. Therefore, this solution is ideal to conduct a series of clinical studies based on a more continuous and accurate monitoring of urine output throughout the stay of a patient in a critical care unit.

关键词： Biomedical monitoring Medical services Patient monitoring Containers automation Java Computerized monitoring Condition monitoring Signal processing Automatic control

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Automatic Interpretation of Dominant Rhythm in Awake Electroencephalogram Based on Coherence and Phase Analysis for Bipolar Derivation

Automatic Interpretation of Dominant Rhythm in Awake Electro...

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International Conference on BioMedical engineering and Informatics (BMEI)

作者： Xiu Zhang Xingyu Wang Takashi Nagamine Takenao Sugi Hiroshi Shibasaki Akio Ikeda Masatoshi Nakamura Department of Automation East China University of Science and Technology Shanghai China Department of System Neuroscience Sapporo Medical University Hokkaido Japan Department of Electrical and Electronic Engineering Saga University Saga Japan Takeda General Hospital Kyoto Japan Department of Neurology Kyoto University Kyoto Japan Research Institute of Systems Control Institute of Advanced Research and Education Saga University Saga Japan

ISBN: (纸本)9781424441327

Automatic electroencephalogram (EEG) interpretation based on referential derivation is easily interfered by ear lobe activation. In order to improve the quantitative EEG interpretation of dominant rhythm, bipolar derivation was proposed in this study. Coherence and phase obtained from cross spectrum analysis were used to determine the focus of dominant rhythm. Existence, peak frequency, amplitude and asymmetry of dominant rhythm were interpreted within the frequency band from 4 to 13Hz. The automatic interpretation of dominant rhythm based on bipolar derivation was compared with the visual inspection of electroencephalographer (EEGer) and showed good consistence.

关键词： Rhythm Auditory system Signal synthesis Testing Speech processing Deafness Aging Signal analysis Biomedical engineering Instruments

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Bipolar EEG Analysis Based on Cross Spectrum: Focal Detection of Slowing Wave for Automatic EEG Interpretation

Bipolar EEG Analysis Based on Cross Spectrum: Focal Detectio...

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International Conference on BioMedical engineering and Informatics (BMEI)

作者： Bei Wang Takenao Sugi Xingyu Wang Akio Ikeda Takashi Nagamine Hiroshi Shibasaki Masatoshi Nakamura Department of Automation East China University of Science and Technology Shanghai China Department of Electrical and Electronic Engineering Saga University Saga Japan Department of Neurology Kyoto University Kyoto Japan Department of System Neuroscience Sapporo Medical University Hokkaido Japan Takeda General Hospital Kyoto Japan Research Institute of Systems Control Institute of Advanced Research and Education Saga University Saga Japan

ISBN: (纸本)9781424441327

EEG is represented to referential derivation with ear lobe reference and bipolar derivations for quantitative interpretation. When the ear lobe was activated, referential derivation with ear lobe reference was contaminated by ear lobe artifacts. In this study, the focus and extension of EEG components were estimated based on the cross spectrum of bipolar derivation. A referential derivation was constructed by choosing the electrodes out of the focus and extension area to obtain the distribution of EEG components. The constructed referential derivation can avoid the artifacts of ear lobe activation for quantitative EEG interpretation.

关键词： Electroencephalography Ear Electrodes automation Educational technology Biomedical engineering Nervous system Neuroscience Hospitals Medical control systems

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Automatic interpretation of hyperventilation-induced electroencephalogram fitting to visual inspection

Automatic interpretation of hyperventilation-induced electro...

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SICE Annual Conference

作者： Xiu Zhang Xingyu Wang Takenao Sugi Akio Ikeda Takashi Nagamine Hiroshi Shibasaki Masatoshi Nakamura Department of Automation East China University of Science and Technology Shanghai China Research Institute of Systems Control Institute of Advanced Research and Education Saga University Saga Japan Department of Electrical and Electronic Engineering Saga University Saga Japan Department of Neurology Graduate School of Medicine Kyoto University Kyoto Japan Department of System Neuroscience Sapporo Medical University Hokkaido Japan Takeda General Hospital Kyoto Japan

Quantitative analysis and detection of abnormalities for electroencephalogram (EEG) recordings during evoked activities are essential for clinical diagnosis on neurological disorders. However, the process of interpreting EEG is time consuming and requires experienced electroencephalographers (EEGers). In this study, a method of automatic EEG interpretation during hyperventilation was proposed. The purpose is to provide a quantitative interpretation of EEG which is able to conform to EEGers' visual inspection. The final integrated results of automatic interpretation were compared with EEGers' evaluation, and showed high consistence.

关键词： Inspection Electroencephalography Medical diagnostic imaging Electrodes Hospitals Clinical diagnosis Scalp Rhythm automation Educational technology

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Fixed point transformations in the adaptive control of fractional-order MIMO systems

Lecture Notes in Control and Information Sciences

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Lecture Notes in control and Information Sciences 2009年 396卷 103-112页

作者： Tar, József K. Rudas, Imre J. Nádai, László Kozlowski, Krzysztof R. MacHado, José A. Tenreiro Institute of Intelligent Engineering Systems John von Neumann Faculty of Informatics Budapest Tech Bécsi út 96/B Budapest H-1034 Hungary Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 Budapest H-1111 Hungary Chair of Control and Systems Engineering Poznań University of Technology ul. Piotrowo 3a Poznań 60-965 Poland Department of Electrotechnical Engineering Institute of Engineering of Porto Rua Dr. Antonio Bernardino de Almeida Porto 4200-072 Portugal

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Robust variance-constrained fault-tolerant control for a class of nonlinear stochastic systems

Robust variance-constrained fault-tolerant control for a cla...

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Asian control Conference

作者： Lifeng Ma Zidong Wang Zhi Guo Hongli Dong Bo Shen School of Automation Nanjing University of Science and Technology of PLA Nanjing China Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK College of Electrical and Information Engineering Daqing Petroleum Institute Daqing China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China School of Information Science and Technology Donghua Uinversity Shanghai China

ISBN: (纸本)9781424454402

This paper is concerned with the variance-constrained controller design problem for a class of uncertain nonlinear stochastic systems with possible actuator faults. The stochastic nonlinearities described by statistical means are quite general that include several well-studied classes of nonlinearities as special cases. A model of actuator failures is adopted which is more practical than the traditional outage one. A linear matrix inequality (LMI) approach is proposed to solve the multiobjective fault-tolerant controller design problem, where both the exponential stability and the steady-state state variance indices are simultaneously guaranteed. Within the developed LMI framework, a sufficient condition for the solvability of the robust control problem is obtained. The explicit expression of the desired controllers is also parameterized and a single degree-of-freedom (SDOF) model is used to demonstrate the effectiveness and applicability of the proposed design approach.

关键词： Robust control Fault tolerant systems Nonlinear control systems control systems Stochastic systems Actuators Stochastic processes Linear matrix inequalities Fault tolerance Stability

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Robust controller Design for Networked control systems with Nonlinear Uncertainties

Robust Controller Design for Networked Control Systems with ...

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2009 American control Conference (ACC 2009)

作者： Junyan Yu Long Wang Mei Yu Jie Chen Yingmin Jia Intelligent Control Laboratory Center for Systems and Control College of Engineering and Key Laboratory of Machine Perception (Ministry of Education) Peking University Beijing 100871 P.R.China Department of Automation North China Electric Power University Zhuxinzhuang Dewai Beijing 102206 P.R.China Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 P.R.China Seventh Research Division Beihang University Beijing 100083 P.R. China

ISBN: (纸本)9781424445233

We address robust stabilization problem for networked control systems with nonlinear uncertainties and packet losses by modelling such systems as a class of uncertain switched systems. Based on theories on switched Lyapunov functions, we derive the robustly stabilizing conditions for state feedback stabilization and design packet-loss dependent controllers by solving some matrix inequalities. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design method.

关键词： Networked control systems robust controller design Packet loss control systems design approach Switched systems controller design State feedback Uncertainty nonlinearity

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