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1. Prof., Habil. Dr. Vitalijus Volkovas

Kaunas University of Technology 

Technological Systems Diagnostics Institute   

Kestucio str. 27
3004 Kaunas

LITHUANIA

 vitvolk@mf.ktu.lt  

 

2. Dr. Assoc. Prof. Rimantas Butleris
Kaunas University of Technology,
Department of Information Systems
Studentu str. 50-308
LT-3031 Kaunas

LITHUANIA
rimbut@if.ktu.lt

rbutler@soften.ktu.lt

 

3. Prof., Habil. Dr. Arunas Lukosevicius

Kaunas University of Technology

Biomedical Engineering Institute

Studentu str. 50-343

LT-3031 Kaunas

LITHUANIA

Arunas.Lukosevicius@ktu.lt

 

Advices, constructive critics and contributions

A usual process of health state diagnostics proceeds through the contact patient-doctor with a help of data of primary measurements. In the way to information society and in purpose to ensure continuous observation of patient health state, technologies are used. In the system of health monitoring it is very important to evaluate uncertainty on purpose to get reliability estimate of data, obtained from processed measurement results. Like so, the effectiveness of monitoring system could be increased, the risk of decision-making error could be decreased. The reliability of expert evaluation (uncertainty) on the base of measurement data also should be assessed. Control and diagnostics of monitoring system (in technical aspect) should be analysed.

We also suggest involving research of destructive impact of vibration and noise on purpose to extend database about risk of cases and health disorders, caused by these phenomenon. After implementing this objective, more effective treatment of patients, diseases prevention, determination of possible critical health condition state could be ensured and improvement of quality of patient rehabilitation process.

Description of the skills and contribution of the organisation (Kaunas University of Technology):

Technological Systems Diagnostics Institute of KUT

·         R&D of diagnostics and identification techniques of technological systems

·         Dynamics and simulation of heterogeneous systems

·         Machinery vibration and noise research, new testing methods and means

·         R&D of automated systems for condition monitoring and diagnostics

·         Standardization in vibration measurement and evaluation

Information Systems Department of KUT

¨         Advanced methods and tools of information engineering

¨          Knowledge-based IS engineering

¨         Information systems modelling based on enterprise information architecture

¨          Methods for information systems development and e-business process modelling

¨         Business rules modelling

¨         CASE tools and environments for information systems development

¨         Working with standard Health Level Seven (HL7), HL7-XML.

Biomedical Engineering Institute of KUT

o       Software for telemedicine equipment, methods of medical signal and image acquisition, processing and interchange in telemedicine networks, use for clinical decision support and assessment of telemedicine quality;

o       Telemedicine hardware  development towards wireless home care and monitoring, by use PDA, GSM/GPRS, Bluetooth and 802.11 connections;

o       Model based processing of wideband biosignals by the use of wavelets, time – frequency analysis, denoising, recognition and classification of signals;

o       Applied biomedical signal processing for electrocardiography (ECG), late potentials, Otoacoustic Emissions (OAE), ultrasonic backscattered signals and other;

o       Medical applications of networked medical diagnostic equipment in ophthalmology, cardiology, audiology and related fields; development of specialized software for telemedicine applications;

o       Ultrasonic wave and biological tissue interaction analysis, considering attenuation, non-homogeneity and non-linearity;

o       Ultrasonic echoscopy, harmonic and contrast imaging and precise biometry, biological tissue characterization;

o       Design and prototyping of ultrasonic transducers for Doppler systems, A and B type scanners (multi-element), tissue characterization (wideband).

o       Processing and biosignals interpretation with emphasis in those from cardiac origin (ECG). The group has been involved in: risk stratification from ECG derived parameters (repolarization, HRV, ...); ischemia modeling (PTCA) and detection; ECG signal coding; stress test ECG analysis; telemedicine and teleprocessing and time/space representation of the cardiac phenomenon.

 

Projects:

 

Technological Systems Diagnostics Institute of KUT

Information Systems Department of KUT

¨       Development of integrated information systems of Forest Resources of Lithuania (2000-2003 ).

–Customer: Lithuanian Forest Research Institute, Kaunas.

¨       A learning environment for requirements engineering. Funding: The Nordic Grant Scheme (participants: Kaunas University of Technology (Kaunas, Lithuania); Karlstad University (Karlstad, Sweden); Norwegian University of Science and Technology (Trondheim, Norway) (2002-2003)

¨       Research on adoption of teaching experience and information technologies in e-learning (2002).

–Sponsors: Aabenraa Rotary Club, Denmark; Rotary Club Kauno Tauras, Lithuania.

¨       Development of Web-based Information system for R&D in the sphere of Information Society Technologies (2002 – 2003).

–Customer: Information Policy Department, Lithuanian Government

¨       Development of Information system for the plant “Nemunas” (1995 - 1997), Lithuania.

¨       Development of Information System for Management of Travel Orders (1998).

¨       –Customer: Travel agency “Delta”, Lithuania.

¨       Development of Information System for Heritage Center and Lithuanian Heritage Department (1994 – 1997; 2000-2001).

–Customer:  Lithuanian Government

¨       Development and application of informatics engineering methods and  technologies  (2002-2004).  Research  program BMP2-10.

–Customer: Research Foundation of Kaunas University of Technology

 

Biomedical Engineering Institute of KUT

 

  Some publications:

 

Technological Systems Diagnostics Institute of KUT

 Vitalijus Volkovas. Development and application of vibroacustic diagnostics and condition monitoring methods in Lithuania // Insight. ISSN 1354-2575. BINDT, 2001, n. 6 (43), p. 376-380.

 Several year’s experience of developing and implementing diagnostics and monitoring systems in the Lithuanian industry enables to notice some modern tendencies and problems analysed in the paper above.

 Vidas Sukackas, Vitalijus Volkovas. Technical Diagnostics of Pipe-Lines by the Approach of Wave Interference // Proceedings of XIV IMEKO World Congress. ISBN 951-96042-8-6. Tampere: 1997, vol.VII, p.67-70.

In the paper technique of diagnostics for pipes with sediments, such as combustion char on their internal walls, when the thickness of the sediment layer is evaluated as a change in the interference of the Lamb waves. The mechanical system is treated as non-homogenous structure. The study covers interference of waves in the structure and any information it may carry. An algorithm of performing the diagnosis is suggested. The results were applied in a design of a device – a thickness indicator for layers of char.

 Volkovas V., Dulevicius J., Eidukeviciute M. Increase of mean and variance estimates reliability for limited date size // Ultragarsas. ISSN 1392-2114. Technologija, Kaunas, 2002, Nr. 1 (42), psl. 22-28.

 The price of technology of diagnostics depends on the number of experimental measurements. If this number is too small, inadequate results may be obtained. In cases of physical and mathematical identification it is essential to get statistically reasoned estimate of limited data size. For this purpose theoretical method was provided. Additional research was made in order to evaluate its practical usage.

 V. Volkovas, J. Dulevicius, M. Eidukeviciute. Evaluation of Cotrolled Objects Condition with the Integral Parameters (in Lithuanian) // Measurements. ISSN 1392-1223. Technologija, Kaunas, 2002, Nr. 1 (21), psl. 19-23.

 The methodology of evaluation of controlled objects with the help of integral parameters is provided in the article. The latter are formed form the matrix of condition parameters of measurements using methodology of principal components. The system of integral parameters reflects the change of all controlled parameters in the maximal preservation of information conditions.

Quantitative characteristics were received from numerical experiment, which reflects the change of integral parameters, depending of measurement matrix. The normality of integral parameters distribution allows forecasting the possibility of the further condition of the controlled system.

 

Information Systems Department of KUT

 

Biomedical Engineering Institute of KUT

A description of the contribution to JPA

 We would like to get involved into NoE by analysing these two special PatiMon aspects.

 The first aspect:

The objective of “Patimon” program is effective use of knowledge about diagnosis, effectiveness of treatment, possible situation of risk for increasing number of patients using modern communicative and information technologies. Objective in this joint program is research of destructive impact of vibration and noise on purpose to extend database about risk of cases and health disorders, caused by these phenomenon. The benefit would be - more effective treatment of patients, diseases prevention, determination of possible critical health condition state could be ensured and improvement of quality of patient rehabilitation process. According to this, activities in this field of our institute would be following:

In order to evaluate impact of technical environment to human, we analyse this interaction in theory. Biomechanical models are analysed to implement this task. With adequate reaction to changes of ambient technical environment and excluding vibration and noise form external destructive effects, we analyse their impact to human. (I5)

With intent realistically simulate and effectively evaluate the impact of ambient technical environment vibrations and noise, monitoring system is being created, in which tools, which allow changing parameters of excited vibrations and noise are integrated. The results of biomechanical modelling are used to create monitoring system.

During the patients’ rehabilitation process we can measure vibrations and noise, made by usable tools and equipment. While changing parameters of vibrations and noise in within allowable limits we can observe their impact to patient. Obtained results of patient state monitoring with specified uncertainty are provided for medicine specialists. The latter predict possible cases, risk of negative outcomes for organism due to impact of vibrations and noise and append databases by obtained results. Using feedback between institute and medicine specialists, physicians provide their recommendations and notes, which are used for improvement of biomechanical models and patient monitoring systems.

 The second aspect:

Objective of this aspect in joint program would be to evaluate the reliability of the end results, their uncertainty, in order to get knowledge about processes in the measurement system itself. The benefit would be increase of effectiveness of monitoring system, decrease of the risk of decision-making error.

(T4) It is very important to assess uncertainty of measurement results at the same time objective estimate of their reliability is obtained. Health monitoring system could be analysed as separate system with many inputs and outputs. Considering the fact, that each monitoring system is unique, with its inputs, and influence variables. However making unique mathematical model of uncertainty evaluation is not economic. If choosing factors most characteristic for the all systems, than important information may be lost and in this case uncertainty estimate would be inadequate for separate systems. All systems could be grouped according special features to classes and for representatives of each class mathematical model of uncertainty calculation could be analysed. On the base of obtained information, that is, on the models, they could be united to one model, which could be applied for all health monitoring systems, for separate classes assigning specific influence and input variables automatically. This process could be analysed in two aspects:

1) influence factors are static, that is their influence to input variables is constant.

In such case, first of all main uncertainty sources of the system are evaluated, their interdependence, that is, correlation, functional dependence of output variables;

2) influence factors have dynamical character, that is, their change in time may have changing impact to input variables. Simultaneous change of one or two and three factors can be analysed and in order to reflect the process in corresponding co-ordinate systems. In this case analysis must be made on the base of static model.

 (S2à  S1) In this section expert evaluation is made and uncertainty here also can be met. It appears, for example, when expert, on the base of obtained results can make n different decisions. Here evaluated uncertainty of measurements may have big impact. So we need to answer these questions: what part of total uncertainty is covered by uncertainty of measurement system and what part is covered by uncertainty of expert evaluation? How uncertainty impacts predictability? What influence does make information quantity to uncertainty?

Uncertainty of overall monitoring and diagnostics system, evaluation of measuring uncertainty impact to decision -making

  Uncertainty of overall monitoring system should be evaluated in order to get reliability measure to the end-user. In this system expert evaluation is made and uncertainty here also can be met. It appears, for example, when expert, on the base of obtained results can make n different decisions. Here evaluated uncertainty of measurements may have big impact. So we’ll try to answer these questions: what part of total uncertainty is covered by uncertainty of measurement system and what part is covered by uncertainty of expert evaluation? How uncertainty influences the predictability? What influence does make information quantity to uncertainty? 

Dynamic and static models of uncertainty evaluation

It is very important to assess uncertainty of measurement results at the same time objective estimate of their reliability is obtained. Health monitoring system could be analysed as separate system with many inputs and outputs. Considering the fact, that each monitoring system is unique, with its inputs, and influence variables. However making unique mathematical model of uncertainty evaluation is not economic. If choosing factors most characteristic for the all systems, than important information may be lost and in this case uncertainty estimate would be inadequate for separate systems. All systems could be grouped according special features to classes and for representatives of each class mathematical model of uncertainty calculation could be analysed. On the base of obtained information, that is, on the models, they could be united to one model, which could be applied for all health monitoring systems, for separate classes assigning specific influence and input variables automatically.

This process could be analysed in two aspects:

1) influence factors are static, that is their influence to input variables is constant.

In such case, first of all main uncertainty sources of the system are evaluated, their interdependence, that is, correlation, functional dependence of output variables;

2) influence factors have dynamical character, that is, their change in time may have changing impact to input variables. Simultaneous change of one or two and three factors can be analysed and in order to reflect the process in corresponding co-ordinate systems. In this case analysis must be made on the base of static model. 

 

The third aspect – knowledge based information system (IS) for storing, representing and analysing information about observed environmental risks and their influence on patients’ physical status.

Objectives:

1.       Analysis of universe of discourse. Functional and non-functional requirements for the IS have to be discovered, analysed and documented. The specifics of collection and evaluation of data about environmental risks (vibration, noise, etc.) has to be analysed. All EU standards and directives, describing relevant environmental factors, have to be taken under consideration.  This is required in order to create a system that could be used across the EU.

2.      Knowledge based IS design. Database model has to be developed assuring full compliance with the requirements. Free flows of information (stored in database) between interested parties within the EU have to be assured (via internet and/or intranet).

3.      Development of the knowledge based IS. Prototype of the designed system has to be developed and documented. The prototype will have to offer full set of required features as well as the ability of working in different environments.

4.      Prototype testing. Developed prototype will be tested in real-world environment using data sets acquired during the monitoring of environmental risks and their influence on patients’ physical status.

 

Program module and monitoring system for evaluation of impact of technical environment to human

Human health state is influenced by vibroacoustical phenomena, which emerge from interaction of ambient technical environment with human. The evaluation of this interaction is particularly important for patients, taking rehabilitation procedures and former patients, returning to active work, for putting objective and more precise recommendations.

Having purpose to simulate most realistic and effectively evaluate impact of ambient technical environment vibrations and noise to human, monitoring system is being created, where tools are integrated to allow changing parameters of exited vibrations and noise. For creation of monitoring system results of biomechanical modelling are used (I5).

During the patients rehabilitation process vibrations and noise of used testing equipment and devices are measured. While changing parameters of vibrations and noise in allowable range impact for patient is observed. The results of patient state monitoring with some uncertainty are provided for medical professionals. The latter forecast possible cases, risk of negative outcomes for the organism due to vibrations and noise and append databases with obtained results.

Knowing adverse influence of vibration to human (Panjabi M, Anderson GBJ, Jorneus L, Hult E, Mattson L. In vivo measurements of spinal column vibrations. Journal of Bone and Joint Surgey 1986; 68A), some researches are made in order to evaluate influence of this environment qualitatively and quantitatively. One of the approaches investigating this interaction is biomechanical modelling. There are some works where vibration effect for human particular parts of body is modelled. With a help of models analysing impact of vibration to human spinal system, forces, which affect particular human parts can be foreseen (Seidel H, Bluethner R, Hinz B, Schust M. Stresses in the lumbar spine due to whole-body vibration containing shocks, Publicher: Bundesanstalt fuer Arbeitsschutz Arbeitsmedizin Fachbereich Arbeitsmedizin, Berlin 1998) and at the same time its violations may be forecasted.

Many sources analyse deformation of spinal vertebrae and discs between them, biomechanical properties, their behaviour when dynamical load is given, imitating vibrations and shocks. After analysis of founded biomechanical models in sources, where impact of vibration induced loads to spinal system is investigated, biomechanical modelling research in this field can be grouped into:

·            simplified models of spinal system group L5, formation of dynamic model of S1 disc and behaviour analysis modelling particular violence;

·            investigation of mechanical characteristics of model components and impact of heterogeneousness to the state of disc tensions and deformations, influencing with loads imitating vibration impact;

·            investigation of mechanical properties and heterogeneousness of adjacent body parts, impact of complex load to tension and deformation of disc L5/S1;

·            determination and of fatigue parameters of disc L5/S1 and identification of state while influencing with loads imitating vibrations and shock impact.

Mentioned research match objectives of “PatiMon” programs that is effective use of knowledge about diagnosis, effectiveness of treatment, possible risk situation for wider range of patients using modern communication and information technologies. On the base of this research obtained results would be:

1)      Creation of program module, allowing foreseeing and evaluating violations of spinal system and extension of databases of risk of violence due to vibration impact and state prognosis.

2)      Monitoring of rehabilitation process of patients with dorsum traumas and evaluation of effectiveness.

 

CV of the  participants

 

Technological Systems Diagnostics Institute of KUT

Prof., Habil. Dr. Vitalijus Volkovas

 Vitalijus Volkovas – date of birth 1947 07 02, sex – male, prof. Habil. Dr., director of Institute of Technological Systems Diagnostics in Kaunas University of Technology, member of Lithuanian IFTOMM (International Federation for Theory of Machines and Mechanisms) national committee, asistant editor of journal “Measurements”, member of editorial board of journals “Mechanics” and “Vibroengineering”. Laureate of premiums of academic S. Vavilovas and Lithuanian Council of Minister, worked on probation in Switzerland and England. Research field – technical diagnostics, problems of system identification and monitoring. Published 5 books, above 100 publications in the field of diagnostics, monitoring, measurements, for example in Insight, IMEKO.

Assoc. prof. Dr. Viktoras Dorosevas

Viktoras Dorosevas- date of birth 1957 09 24, sex - male, senior associate researcher in Technological Systems Diagnostics Institute of Kaunas University of Technology (KUT). 1980 - diploma of mechanical engineer in KUT. 1996 - doctoral thesis in KUT in the direction of mechanical engineering. Research field - modeling, diagnostics and monitoring of heterogeneous systems. Main publications:

1.       Viktoras Dorosevas, Vitalijus Volkovas. Analysis of the Reactions of Elastically Plastic Substance to Shock Impact Load in the Closed Container // Structures Under Shock and Impact. VI Wessex Institute of Technology, 2000, p.309-318.

2.   Viktoras Dorosevas, Vitalijus Volkovas. State Identification of Loose Substance in the Close Container // Proceedings of the 2nd International Conference on Emerging Technologies in NTD. ISBN 90-5809-127-9. Rotterdam: Balkema, 2000, p. 125-131.

Dr. Robertas Mikalauskas

Robertas Mikalauskas – date of birth 1969, sex – male, Dr., scientific worker of KTU Institute of Technological systems diagnostics. 1994 – bachelor of Kaunas University of Technology (KTU), specialization – machinery and equipment of light industry, 1996 – master with specialization of engineering of clothing and polymeric material. In 2001 defended dissertation in KTU in the field of technological sciences and mechanical engineering. Research field – diagnostics and monitoring of technical systems. Married, has two sons. Main publications:

1. Mikalauskas, R., Volkovas, V. Modelling of Defects of Flexible Elements of Belt Drives.-Proc. of XVI-th IMEKO WORLD CONGRESS “IMEKO 2000”.-Wien, 2000, v.VI, p.233-238.

2. Mikalauskas, R., Volkovas, V. Modelling of Belt Transmission with Defects, Evaluating Contact of a Flexible Element with Pulleys // Mechanika, 2001. 3(29), p. 38 – 43.

Marija Eidukeviciute

 Marija Eidukeviciute – date of birth 1978 03 11, sex – female, graduate in KTU Institute of Technological systems. In 1999 – bachelor of mathematical sciences of KTU, specialization – stochastic systems and computer analysis, in 2001 – master of mathematical sciences of Vytautas Magnus University, specialization – mathematical methods in economy. Since 2002 – graduate in KTU Institute of Technological System Diagnostics. Research field – uncertainty, reliability of results. Main publications:

1. Volkovas V., Dulevicius J., Eidukeviciute M. Increase of mean and variance estimates reliability for limited date size // Ultrasound. ISSN 1392-2114. Technologija, Kaunas, 2002, Nr. 1 (42), p. 22-28.

2. V. Volkovas, J. Dulevicius, M. Eidukeviciute. Evaluation of Controlled Objects Condition with the Integral Parameters (in Lithuanian) // Measurements. ISSN 1392-1223. Technologija, Kaunas, 2002, Nr. 1 (21), p. 19-23.

 

Information Systems Department of KUT

Assoc. Prof., Dr. Rimantas Butleris

Rimantas Butleris – date of birth 1957 05 29, sex – male, assoc. prof.  Dr., head of Information Systems Department, Faculty of Informatics, Kaunas University of Technology, Vice-chairman of Committee for Research in Informatics Engineering of Kaunas University of Technology, Member of ECCAI (European Coordinating Committee for Artificial Intelligence, Lithuanian branch), member of experts group for High technology production development (formed by Ministry of Education and Science of Lithuania). The coordinator of several projects of scientific research and Information systems development. Research fields – Information systems& Data bases design, Requirements engineering, CASE-tools and software engineering environments, Knowledge representation.  Published above 70 scientific publications in the fields of information requirements engineering, business rules modelling, knowledge representation.

Assoc.prof. Dr. Lina Nemuraite

Lina Nemuraite – date of birth 1952, sex – female, Dr., Assoc. Prof. of  Information Systems Department in Kaunas University of Technology (KTU). 1975 – diploma of system engineer in KTU; 1987 - doctoral thesis in KTU in the direction of Informatics Engineering. Research field – modelling of Information Systems and Business Processes. Unmarried, has the son. Main publications:

1. Nemuraite L. Business object modelling framework for distributed enterprise // Informatica. ISSN 0868-4952. 1999, Vol. 10, no. 2, p. 189 - 201.
2. Nemuraite L., Kavaliauskaite L., Ambrazevicius E. Towards Ensuring Consistency to UML Models // Informacijos mokslai. ISSN 1392-0561. Vilniaus universitetas, 2003, No. 24, p. 85-97.

Dr. Rita Butkiene – date of birth 1971 09 09, sex – female, Dr., lecturer in Information Systems Department at Kaunas University of Technology (KTU) Informatics Faculty. She received the M.S. degree of informatics from Kaunas University of Technology in 1995. In 2002 defended dissertation in KTU in the field of technological sciences and informatics engineering. Her current research interests include requirements engineering, requirements engineering tools, conceptual modelling, and information systems design. Main publications:

1.Butkiene R., Butleris R. The Approach for the User Requirements Specification. 5th East-European conference ADBIS’2001, Research Communications, Ed. by A.Caplinskas, J.Eder, Vilnius, 2001, pp.225-240.

2.Butkiene R., Butleris R. Verification Rules of Computerised Information System Model with Respect to Data Resource Processing. Informatica, 2001, Vol.12, No.3. Vilnius, pp.347-372.

Tomas Danikauskas

Tomas Danikauskas - date of birth 1977 01 29, sex – male. In 1999 received a bachelor degree of Computer Science in Kaunas University of Technology, Kaunas, Lithuania. Majoring in Information Systems. In 2001 received a master degree of Computer Science with honour in Kaunas University of Technology, Kaunas, Lithuania. Majoring in user requirements elicitation and specification for Information System. Since 2001 Informatics engineering PhD student in at Kaunas University of Technology, Information system department, Kaunas, Lithuania. Research subject: "Method for usability of information sources specification in IS designing composition and analysis”. Main publications:

1. Butkiene R., Butleris R., Danikauskas T.  The approach to consistency checking of functional requirements specification. The 6th World Multiconference on Systematics, Cybernetics and informatics, Proceedings of International Conference, Orlando, USA. 2002, Vol.18,  p.67-72.

2. Butleris R., Butkiene R., Danikauskas T. Business modelling for elicitation of information requirements . Business operation and its legal environment: processes, tendencies and results, Proceedings of International Conference, Riga: Turiba, 2002, p. 67-73.

Assoc. Prof.,Dr. Saulius Gudas

Saulius Gudas – date of birth 1952, sex – male, Dr., Assoc. Professor of KTU Information Systems Department. In 1982 defended dissertation in Moscow Institute of  Physics Engineering in the field of information systems engineering. Research field – computer aided information systems engineering (CASE) methods and tools, knowledge-based  CASE. Published 3 books, above 80 publications in the field of  IS engineering, enterprise modelling, CASE technology. Married, has two sons. Main publications:

1.    Gudas S. A framework for research of information processing hierarchy in enterprise. - Mathematics and Computers in Simulation, No.33, 1991, p.281-285.

2.    Gudas S. Organisational System as a Hierarchy of Information Processes  - Applications of Artificial Intelligence in Engineering VI (AIENG 91) , Computational Mechanics Publications, Southampton, Boston, 1991, p.p. 1037 -1050, ISBN 1-85342-141-X

3.    Gudas S.  Framework for the structure of enterprise objectives - Applications of Artificial Intelligence in Engineering , Southampton, 1992, p.p.753 - 758., ISBN 1-85166-787-3

Kestutis Kapocius

Kestutis Kapocius - date of birth – 1977 10 27, sex – male. In 1999 – bachelor of sciences in informatics, KTU. In 2001 – master of sciences in informatics, KTU, specialisation – business rules structuring models. Since 2001 – Ph. D. student at KTU, Information systems department. Research field – design and implementation of information systems using business rules approach. Recent publications:

1.    Kapocius K., Butleris R. Distinguishing Features of Requirement Discovery and Analysis in Business Rules Approach. Proc. of  conference “Information Technologies 2003”. Kaunas, Technologija, 2003, p. XVI-74 – XVI-81.

2.    Kapocius K., Butleris R. The Business Rules Repository for Information Systems Design. Research Communications of 6th East European Conference “ADBIS 2002”. Bratislava, Vydavatel’stvo STU, 2002. p. 64-77.

Tomas Skersys

Tomas Skersys - date of birth – 1977 01 01, sex – male. In 1999 – bachelor of sciences in informatics, KTU. In 2001 – master of sciences in informatics, KTU, specialisation – knowledge based IS engineering. Since 2001 – Ph. D. student at KTU, Information systems department. Research field – design and implementation of knowledge based information systems. Recent publications:

Gudas S., Lopata A., Skersys T. Domain Knowledge Integration for Information Systems Engineering . Proc. of  conference “Informacines technologijos verslui 2003”. Kaunas, Technologija, 2003, p. 56-59.

 

Biomedical Engineering Institute of KUT

Prof., Habil. Dr. Arunas Lukosevicius

Arunas Lukosevicius - date of birth - 1946 10 12, sex - male. Director of Biomedical Engineering Institute (BMEI) of KUT, professor of Telecommunication and Electronics Faculty of KUT, head of Telemedicine Support centre of BMEI,  president of the Lithuanian Society for Biomedical Engineering, member of the Board for Coordination of National e-Health Program,  member of International Eye Research Society (ISER), member of the Society of Ultrasound in Ophthalmology (SIDUO), expert of Lithuanian State Science and Studies Foundation, member of editorial boards and reviewer of journals Ultragarsas (Ultrasonics), Electronics and Electronic Engineering. Awards: Lithuanian National Science Award (2000), award of Lithuanian Council of Ministers for implementation of scientific results (1987), EUREKA prize and medal for innovations (1977). Research areas: Electronics. Biomedical engineering. Management of research in universities. R&D in CEE countries. Health-care telematics for diagnostics and expertise. Telemedicine systems. for diagnostics and screening, education and continuing education on biomedical engineering, organisation of technical support of health care.

Research scientist dr. Rytis Jurkonis

Rytis Jurkonis - year of birth 1971, sex - male. 1989 – 1995 electronics engineering studies at Radioelectronics Faculty, KUT; 1995 – 1996 research associate, Laboratory of Biomedical Engineering, KUT; 1996 – 2000 doctoral student, Department of Theoretical Radioengineering, KUT; since 2000 research scientist, Institute of Biomedical Engineering, KUT. Area of expertise - modelling of ultrasound systems; models of ultrasound wave diffraction, attenuation and speed dispersion; non-linear propagation; tissue generated harmonics; model based signal processing. Recent  publications:

1.        Frequency dependence of speckle in continuous-wave ultrasound with implications for blood perfusion measurements / Tomas Jansson, Rytis Jurkonis, T. Douglas Mast, Hans W. Persson, Kjell Lindstrom// IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. New York : IEEE-Inst Electrical Electronics Engineers Inc. ISSN 0885-3010. 2002, Vol. 49, no. 6, p. 715-725.

2.        Jurkonis, Rytis. New method of spatial superposition of attenuated waves for ultrasound field modelling / Rytis Jurkonis, Arunas Lukosevicius// Ultrasonics. Amsterdam : Elsevier Science ISSN 0041-624X. 2002, Vol. 40, no. 1-8, p. 823-827.

Assistant professor dr. Vaidotas Marozas

Vaidotas Marozas - year of birth 1969, sex - male. 2000 – 2002 research associate at the Institute of biomedical engineering, since 2002 docent position in Signal Processing department at KUT. Member of the society of Lithuanian Biomedical Engineering. Area of expertise - computer based biomedical signal acquisition systems, biomedical signal detection and estimation, statistical analysis, wavelet analysis, neural networks, applications to Telemedicine. Recent publications:

1. V. Marozas, L. Sörnmo, O. Swensson, A. Lukosevicius, A. Janusauskas ”Adaptive estimation of transient evoked otoacoustic emissions” In IFMBE Proceedings, 2nd European Medical & Biological Engineering Conference (EMBEC '02), Part 1: 478-479 (2002)

2.  A. Janusauskas, V. Marozas, B. Engdahl, H. J. Hoffman, O. Svensson, L. Sörnmo “Otoacoustic emissions and improved pass / fall separation using wavelet analysis and time windowing”, IMIA Yearbook of Medical Informatics 2002, ed. Haux R, Kulikowski C(eds), Schattauer Verlagsgesellschaft mbH, Stuttgart, ISBN: 3-7945-2193-5, p. 443-449.

Research scientist dr. Arturas Janusauskas

Arturas Janusauskas - year of birth - 1972, sex - male. Member of the society of Lithuanian Biomedical Engineering. Area of expertise - Biomedical signal processing, otoacoustic emissions analysis, ECG analysis, wavelet analysis, correlation Analysis, biomedical Signal acquisition and validation, telemedicine. Recent publications:

1. Signal processing of transient evoked otoacoustic emissions – a survey of methods/ A. Janusauskas, O. Svensson, L. Sörnmo//  Signal Processing Report SPR-43, Lund Technical university, ISSN 1100-8105,  http://www.es.lth.se/sig/, March 1998.

2. A. Janusauskas, V. Marozas, B. Engdahl, O. Svensson, L. Sörnmo, “Otoacoustic emissions and improved pass/fail separation using wavelet based denoising”, 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Hong Kong SAR,China, October 29 - November 1, 1998 : proceedings. Piscataway, NJ : IEEE Service Center, 1998. ISBN 0-7803-5164-9. p. 3129-3131.

Research scientist dr. Darius Jegelevicius

Darius Jegelevicius - year of birth - 1973. Member of Lithuanian Society for Biomedical Engineering. Area of expertise - Signal processing, ultrasound techniques, image processing, data mining. Recent publications:

1. Jegelevicius D., Lukosevicius A., Paunksnis A., Barzdziukas V. Application of Data Mining Technique for Diagnosis of Posterior Uveal Melanoma // Informatica. -  Vilnius: Institute of Mathematics and Informatics, 2002. - Vol. 13, No 4. - P.455-464.

 2. Paunksnis A., Kuzmiene L., Kurapkiene S., Jurkonis R., Ivanov L., Sadauskiene I., Lukosevicius A., Jegelevicius D.. Ultrasonic and biochemical characteristics of human nuclear cataract // Ultrasound. – Kaunas: Technologija, 2001. – Vol.40, No 3. - P. 11 – 15.

 3. Paunksnis A., Kurapkiene S., Svaldeniene E., Paunksniene M., Babrauskiene V., Jegelevicius D. Corneal thickness evaluation using ultrasonic technique // Ultrasound. – Kaunas: Technologija, 2001. – Vol. 40, No 3. - P. 16 - 20.

 

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