Source: http://kvt-journal.org.ua/tag/vovk-m-i/
Timestamp: 2019-04-23 12:46:44+00:00

Document:
Head of Bioelectrical Control & Medical Cybernetics Dep.
Bioelectrical Control & Medical Cybernetics Dep.
Introduction. At present, one of the leading directions in the healthcare system is an individual approach to treatment. Restoration of movements and oral speech after a stroke suggests the formation of an individual complex of control actions – programs, techniques for general limb movements, fine motor hand training to reduce the deficit of motor and speech functions acquired as a result of pathology.
The purpose of the article is to determine on the basis of which algorithms, the informative criteria for estimating the deficit of motor and speech functions, as well as rules to be solved, an individual set of movements, programs and training schedule to restore motor and speech functions after a stroke are formed.
Results. A general and additional algorithms for the formation of an individual complex of control actions for motor and speech functions rehabilitation after a stroke have been developed. According to the algorithms, the patient is tested for general and specific contraindications to the use of muscle electrical stimulation and / or biofeedback training, quantitative assessment of motor and speech functions, muscle tonus according to new original techniques, verification of limitations to the application of programs and the duration of training. Additional algorithms are designed taking into account both hyper- and hypotonic parameters. A special feature of these algorithms is the introduction of additional restrictions, for which intervals of muscle tone values are formed.
Decision rules have been developed using the algebra of predicates, logical variables corresponding to the specified criteria and indicators. According to these rules, in each stage of rehabilitation, a set of movements and training programs recommended by priority (“Synthesis”, “Donor”, “Threshold”, “Biofeedback” according to TRENAR® technology) and their schedule are determined in binary form.
Conclusions. The considered approach to the formation of an individual complex of control actions for movement and speech rehabilitation after a stroke is the theoretical basis to synthesize the mobile information technology of digital medicine for assistance the physician in diagnosing and carrying out individual rehabilitation of motor and speech functions after a stroke.
Keywords: stroke, movement, speech, rehabilitation, quantitative assessment, algorithm, decision rules, individual control actions, programs, electrical muscle stimulation, biofeedback training.
1. Vovk M.I. New opportunities for movement and speech rehabilitation. Kibernetika i vyčislitel’naâ tehnika. 2016. Iss.186. P. 78–93 (in Russian).
2. Vilensky B.S. Stroke: … SPb: Foliant, 2002. 397 p. (in Russian).
3. Vovk М.І., Kutsyak О.А., Lauta A.D., Ovcharenko М.А. Information support of researches on the dynamics of movement restoration after the stroke. Kibernetika i vyčislitel’naâ tehnika. 2017. №3 (189). P. 61–78. (in Ukrainian).
4. Vovk M.I., Peleshok S.R., Galian E.B., Ovcharenko M.A. Method for assessing motor and sensory speech disorders. Collection of articles of the scientific and information center “Znanie” on the basis of the XI international correspondence scientific-practical conference: “The development of science in the XXI century” 3 part, Kharkov: a collection with articles (standard level, academic level). Donetsk: Scientific and Information Center “Knowledge”, 2016. pp. 70–76. (in Russian).
5. Belova A.N., Schepetova O.N. Scales, tests and questionnaires in medical rehabilitation. Moscow: Antidor, 2002. 440 p. (in Russian).
6. Kadykov A.S., Chernikova L.A., Shakhparonova N.V. Rehabilitation of Neurological Patients. Мoscow: MEDpress-inform, 2008. 560 p. (in Russian).
Introduction. The results of clinical testing of the innovative technology TRENAR® confirmed its effectiveness in motor and speech recovery after a stroke. The main advantage of the technology that enables a more efficient motor and speech recovery is advanced training programs, based on different methods. This allows one to select individual approach to the rehabilitation process. In order to determine a personalized recovery plan it is necessary to develop criteria to quantify motor recovery dynamics.
The purpose of the research is to determine criteria for separately quantifying recovery dynamics in proximal and distal parts of the upper and lower extremities, as well as to perform an integral quantitative assessment of the severity of motor function disorders after a stroke.
Results. The method for quantitative estimation of the effectiveness of motor function rehabilitation after a stroke was developed.
One special feature of the technique is separate quantitative assessment of the motor function deficit dynamics of the affected lower and upper extremities, their proximal and distal sections, including fine motor skills, according to basic and additional criteria. The technique allows us to study the contribution of these indicators to the integral quantitative evaluation of the effectiveness of motor recovery during rehabilitation process. The technique has successfully passed pilot clinical trials during the studies of motor function recovery dynamics after a stroke when innovative technology TRENAR® for motor training / recovery was used. It is intended for informational support of medical decision-making when devising an individual plan for the rehabilitation of motor and speech functions after a stroke.
Conclusion. The method for quantitative assessment of motor function recovery dynamics forms the basis for assessing the effectiveness of rehabilitation processes in patients after a stroke and for developing individual plans for rehabilitation. It serves as the digital informational support for physicians and will be essential for developing mobile applications for smartphones and tablets that can be used during the rehabilitation process.
Keywords: quantitative assessment, criteria, rehabilitation, effectiveness, stroke, motor functions, speech, disorders.
Vovk M.I. New opportunities for movement and speech rehabilitation. Kibernetika i vyčislitelnaâ tehnika. 2016. Iss.186. P. 78–93 (in Russian).
3. The way to treat speech desorders: pat. UA, A61N 1/36, no. 111388, claimed 03.06.2014, publshed 25.04.2016, Bulletin no 18 (in Ukrainian).
Stolyarova L.H., Tkachova H.R. Rehabilitation of patients with post-stroke motor disorders. M.: Medicine, 1978. 216 p. (in Russian).
Belova A.N., Prokopenko S.V. Neurorehabilitation. M., 2010. 1288 p. (in Russian).
Vinnychuk S.M. Vascular diseases of the brain and spinal cord. K.: Naukova Dumka, 1999. 114 p. (in Ukrainian).
Vilenskyi B.S. Stroke: prevention, diagnosis and treatment. SPb.: Publishing house” Foliant”, 2002. 397 p. (in Russian).
Dolgova N.Yu., Vorontsov S.A., Kirichenko O.V., Makarova I.Yu. Rehabilitation treatment of neurological patients in a sanatorium. The Kremlin medicine. Clinical Herald. 2013, №4. P. 53–56 (in Russian).
Belova A.N., Schepetova O.N. Scales, tests and questionnaires in medical rehabilitation M.: Antidor, 2002. 440 p. (in Russian).
Kadykov A.S., Chernikova L.A., Shakhparonova N.V. Rehabilitation of Neurological Patients. М.: MEDpress-inform, 2008. 560 p. (in Russian).
Smychek V.B., Ponomareva E.N. Craniocerebral injury (clinic, treatment, examination, rehabilitation). Mn.: Research Institute of ME and R, 2010. 430 p. (in Russian).
Samsonova V., Barnikova I.E., Krestinina A.A. Non-invasive methods for evaluating the composition of muscle fibers. News of the Chernigiv National Pedagogical University. Ser.: Pedagogical science. Physical education and sport. Chernigiv, 2014. Vol. 118 (1). P. 323–326 (in Russian).
Vovk M.I., Peleshok S.R., Galian E.B., Ovcharenko M.A. Method for assessing motor and sensory speech disorders. Collection of articles of the scientific and information center “Znanie” on the basis of the XI international correspondence scientific-practical conference: “The development of science in the XXI century” 3 part, Kharkov: a collection with articles (standard level, academic level).: Scientific and Information Center “Knowledge”, 2016. P. 70–76.
The purpose of the article is to present the results of theoretical and applied researches focused on synthesis of information technologies for human motion control based on bioengineering systems as external control circuits.
Results. The evolution of bioengineering systems for motor control — multichannel electronic devices “Mioton-2”, “Mioton-3M”, “Mioton-604”, “Miokor”, adaptive device “Miostimul” and a new class of portable electronic devices of digital medicine for personal, biologically adequate, motor control “TRENAR®” are considered. Special EMG — signals processing and its transformation into informative visual and sound signals, that describe muscle contractions are used to develop different programms for muscle control. These programs based on different methods of muscle electrical stimulation and biofeedback are aimed on activaton of additional brain reserves to restore motor functions. New method and technology to restore motor speech, based on original technique of fine motor hand training by the technology “Trenar” is described. The results of clinical testing confirmed its effectiveness in motor speech restoration after the stroke.
Conclusion. The main benefits of the technology “Trenar” that leads to the increasing in efficiency of motor and speech rehabilitation are as follows: advanced range of training programs, based on different methods, original techniques of fine motor hand training allows one to select individual approach to rehabilitation process.
Keywords: bioengineering systems, electronic devices, bioelectric control, muscle stimulation, biofeedback, electromyographic signal, rehabilitation, movement, speech, personal approach.
Inventor’s certificate 190525 USSR. The method of motor control / L. Aleev, S. Bunimovich. No 1019769/31-16; claimed 26.06.65; published 29.02.67, Bull. No 2. (in Russian).
Aleev L.S. Bioelectrical system “Mioton” and motor functions of a person. Bull. of AS of USSR. 1969. Iss. 4. P. 70–80 (in Russian).
L. Aleev, S. Bunimovich, M. Vovk, V. Gorbanev, A. Shevchenko. No1455753/31-16; claimed 22.06.1970; registered 03.09.1971. (in Russian).
Aleev L.S., Vovk M.I., Gorbanev V., Shevchenko A. «Mioton» in motor control. Kiev: Nauk. dumka, 1980. 142 p. (in Russian).
Judin A.V., Shikova T.N. Miotonoterapiya in treatment of neuropathies. City Clinical Hospital №1 Togliatti. URL: http://www.f-med.ru/scient/nt_mitonoterapia.php (in Russian) (date of the application:11.11.16).
Inventor’s certificate 929 054 USSR. Multichannel device for adaptive bioelectrical motor control of a person / L. Aleev, M. Vovk, V. Goranev, A. Shevchenko.
No 2428608/28-13; claimed 13.12.76; published 23.05.82, Bull. № 19 (in Russian).
Inventor’s certificate 976 952 USSR Multichannel device for adaptive bioelectrical motor control of a person / L. Aleev, M. Vovk, V. Goranev, A. Shevchenko.
No 2436412/28-13; claimed 03.01.77; published 30.11.82, Bull. №44. (in Russian).
Bioelectrically controlled electric stimulator of human muscles: United States Patent 4,165,750 Aug. 28, 1979.
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Gritsenko V.I., Kotova A., Vovk M et.al. Information technology in Biology and Medicine. Lecture course. K.: Nauk. Dumka, 2007. 382 p. (in Ukrainian).
Vovk M.I. Bioinformatic technology of motor control of a person. Kibernetika i vyčislitelnaâ tehnika.. 2010. Iss. 161. P. 42–52 (in Russian).
“Trenar” — innovative technology for motor restoration. Materials of the International scientific — practical forum «The Science and Business — a basis of development of economy». Dnepropetrovsk, 2012. P. 204–206 (in Russian).
Vovk M.I. Bioinformatic technology of motor control as the direction of biological and medical cybernetics. Kibernetika i vyčislitelnaâ tehnika. 2013. № 174. P. 56–70 (in Russian).
Anohin P.K. The Sketches on Physiology of Functional Systems. Moscow: Medicine, 1975. 447 p. (in Russian).
The method of Motor Control of a Person: pat. 41 795, Ukraine: IPC А61 N 1/36. No u 200814822; claimed 23.12.08; published 10.06.09, Bull. No 11. (in Ukrainian).
Electrical stimulator: patent 32376, Ukraine: IPC А61 N 1/36. No u 2008 00632; claimed 18.01.08; published 12.05.08, Bull. No 9. (in Ukrainian).
The Device for Electrical Stimulation with Biocontrol TRENAR-01. The Technique for Using / M. Vovk, V. Gorbanev, A. Shevchenko // The Inventor’s Certificate on author’s product right № 26 836, Ukraine — 09.12.2008 (in Ukrainian).
The Device for Electrical Stimulation with Biofeedback TRENAR-02. The Technique for Using / M. Vovk, V. Gorbanev, A. Shevchenko // The Inventor’s Certificate on author’s product right № 37243, Ukraine. 04.03.2011 (in Ukrainian).
Koltsova М.М. Motor activity and development of the child’s brain functions. М.: “Pedagogika”, 1973. 143 p. (in Russian).
The way to treat speech desorders: pat. UA 111388, IPC A61N 1/36. No а 2014 06 092; claimed 03.06.2014, published 25.04.2016, Bull. No 18. (in Ukrainian).
Vovk M.I., Galyan Ye.B. Restoring of motor component of speech based on muscle movement control. Theoretical grounding. Kibernetika i vyčislitelnaâ tehnika. 2012. № 167. P. 51–60 (in Russian).
The way to treat speech desorders: pat. UA, A61N 1/36, no. 111388, claimed 03.06.2014, publshed 25.04.2016, Bulletin no 18 (in Ukrainian).
Galyan Ye.B. Specialized software module of speech rehabilitation technology, architecture and functional interaction of its components. Control Systems and Machines. 2014. Iss. 6. P. 52–58 (in Russian).
Vovk M.I., Galyan Ye.B. Organization of Intelligent Hand Movements Control to Restore Speech. Kibernetika i vyčislitelnaâ tehnika. 2016. Iss. 184. P. 25–43 (in Russian).
Vovk M.I., Peleshok S.R., Galyan Ye.B. Ovcharenko M.A. The method of assessment of motor and sensory speech disorders. Collected papers of scientific-information center “Knowledge” based on XІ International correspondence scientific-practical conference: «The development of science in the XXI century», part 3. Kharkiv: collected papers. D.: scientific-information center “Knowledge”, 2016. p. 70–76 (in Russian).
Introduction. Movement training is one of the main factors to mobilize person’s reserves at movement restoration.
The purpose of this article is to show the role of new bioinformatics technology and digital medical devices, original methods, programs and techniques of movement training of the limbs and fine motor hand, to restore motor and speech functions in patients after stroke.
Results. The bioinformatics technology TRENAR® for motor and speech rehabilitation is presented. The technology uses various programs (models) and methods for forced and voluntary movement training that are based on special EMG signals processing and their transformation into informative visual and sound signals, that define movements. Structural – functional models of damaged motor area of the cortex reorganization aimed at motor control restoration according to movement training programs “Synthesis” (artificially synthesized programs of electric stimulation), “Donor” (programs are based on voluntary contractions of healthy muscles of a patient), “Biotraining” (Biofeedback method) are described. The technology is implemented in two electronic devices of digital medicine Trenar-01 and Trenar-02. New method and technology to restore speech on the basis of original techniques of fine motor hand training and technology TRENAR® are described. The results of clinical testing of technology in motor and speech restoration of patients after the stroke are presented.
Conclusion. The main benefits of the technology TRENAR® which lead to an increase in efficiency of motor and speech rehabilitation are as follows: advanced range of training programs, based on different methods, original techniques of fine motor hand training allows one to select individual approach to rehabilitation process.
Keywords: bioinformatics technology, digital medicine, electronic devices, programmed electric stimulation, biofeedback, rehabilitation, movement, hand, speech, stroke, individual approach.
1 Belova A.N., Prokopenko S.V. Neurorehabilitation. 3th ed. Moscow, 2010, 1288 p. (in Russian).
2 Aleev L., Vovk M., Gorbanev V. & others. “Mioton” in motor control. Kiev, 1980, 142 p. (in Russian).
3 Aleev L. S., Vovk M.I. Functional electrostimulation with myofeedback in movement rehabilitation. Proc. “5th International Muscle Symposium” (May 19-21, 2000, Viena, Austria). Viena, 2000, pp.69-70.
4 Gritsenko V.I., Kotova A. B., Vovk M. I. & others. Information technology in Biology and Medicine. Lecture course. Kiev, 2007, pp. 285-340 (in Ukrainian).
5 Vovk M.I. Bioinformatic technology of movements control as the direction of biological and medical cybernetics. Kibernetika i vycislitel’naa tehnika, 2013, No 174, pp. 56–70. (in Russian).
6 Gritsenko V.I., Vovk M.I. “TENAR” – innovational technology of movements restoring Materials of the International scientific – practical forum ” The Science and Business – a basis of development of economy ” . Dnepropetrovsk, 2012, pp.204-206. (in Russian).
7 Hunter P. Peckham, Kevin L. Kilgore, “Challenges and Opportunities in Restoring Function after Paralyses. IEEE Trans. Biomed. Eng.2013, Vol. 60, No .3, pp. 602-609.
8 Romanov S.P. Neurophysiological mechanisms of motor functions homeostasis / Doctor in Biology: specialty. 03.00.13. St. Petersburg, 1989, 443 p. (in Russian).
9 Anohin P.K. The Sketches on Physiology of Functional Systems. M.: Medicine, 1975, 447 p. (in Russian).
10 The method of Motor Control of a Person. Patent 41 795 Ukraine. 10.06.2009. (in Ukrainian).
11 Electrical stimulator. Patent. 32376 Ukraine: 12 .05. 2008. (in Ukrainian).
12 The Inventor’s Certificate on author’s product right 26 836 Ukraine. The Device for Electrical Stimulation with Biocontrol Trenar-01. The Technique for Using / M. Vovk, V. Ivanov, A. Shevchenko / 09.12.2008. (in Ukrainian).
13 Vovk M., Gorbanev V., Shevchenko A. The Inventor’s Certificate on author’s product right 37243 Ukraine. The Device for Electrical Stimulation with Biofeedback Trenar-02. The Technique for Using . 04.03.2011. (in Ukrainian).
14 Koltsova M.M. Motor activity and development of the child’s brain functions. Moscow: “Pedagogika”, 1973. 143 p. (in Russian).
15 Vovk M.I. , Galyan Ye. B. Restoring of motor component of speech based on muscle movement control. Theoretical grounding . Kibernetika i vycislitel’naa tehnika, 2012, Is. 167, pp.51-60. (in Russian).
16 16. The way to treat speech desorders. UA, A61N 1/36, no. 111388, 2016.(in Ukrainian).
18 Vovk M.I. , Galyan Ye. B. Organization of Intelligent Hand Movements Control to Restore Speech. Kibernetika i vycislitel’naa tehnika, 2016, Is. 184, pp.25-43. (in Russian).
19 Galyan Ye.B. Specialized software module of speech rehabilitation technology, architecture and functional interaction of its components. Control Systems and Machines, 2014, No 6, pp. 52-58. (in Russian).
20 Vovk M.I., Peleshok S.R., Galyan Ye.B. & others The method of assessment of motor and sensory speech disorders. Collected papers of scientific-information center “Knowledge” based on XI International correspondence scientific-practical conference: “The development of science in the XXI century” part 3. Kharkiv: collected papers. D, 2016, pp. 70-76. (in Russian).
Introduction. Intelligent control is a function of organized systems, situationally adapted to provide for the operation to be constant. Main mechanisms for constant operation of biological systems are adaptation and homeostasis. We must keep in mind these mechanisms while designing biotechnical systems for control, maintenance or restoration of motor functions, damaged by pathology, as well as remember that speech movements are a type of voluntary movements.
The purpose is to develop information-structural and structural-functional models for organization of intelligent fine motor hand movements control to restore speech.
Methods. information — structural modeling, structural-functional modeling, first-order predicate logic, Unified Modeling Language.
Results. In this article we present information-structural and structural-functional models of intelligent hand movements control organization to restore speech for patients after the stroke (hemiparesis, motor aphasia, motor-sensory aphasia). The main components of the biotechnical system that organizes intelligent control are electronic devices for motor control TRENAR and PC with software-based information component. Its structural-functional model is described. The organism’s reserves activation to restore homeostasis of fine motor hand movements and speech realization is the final goal of control. Adequacy is considered as the best criterion for individual choice of control actions parameters and topology of their application. It is shown how different methods, training programs, and a set of training movements allow us to organize personally oriented situational control / training of hand movements for speech rehabilitation. The method for determining the combination of personal training options for hand and finger movements on the basis of production approach is developed. The software implementation of the method in the form of reduced expert system is described.
Conclusion. The main features of intelligent control organization are the assistance of situational goal to the final goal of control and knowledge-based control.
Keywords: intelligent control, adaptive control, homeostasis, organization, hand movements, speech restoration, modeling, computer complex, electronic devices, information component, production approach, reduced expert system.
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Romanov S.P. Neurophysiological mechanisms of motor functions homeostasis : thesis. Doctor in Biology: specialty. 03.00.13. St. Petersburg, 1989, 443 p. (in Russian).
Vovk M.I. Biological and biotechnical system as a purposeful. Control System and Computers, 2005, № 3(197), pp.16–24 (in Russian).
Vovk M.I. Bioinformatic technology of movements control as the direction of biological and medical cybernetics. Kibernetika i vyčislitelʹnaâ tehnika, 2013, № 174, pp. 56–70. (in Russian).
Kadukov А.S., Chernikova L.A., Shakhparonova N.V. Rehabilitation of neurological patients Chapter 16. Speech disorders. М.: “MEDpress-inform”, 2008, pp. 369–384. (in Russian).
Vovk M.I, Galyan Ye.B., Pidoprigora E.N., e.a. Sposib likuvannya movnukh porushen’ [The way to treat speech desorders]. Patent UA, A61N 1/36, no. 111388, 2016. (in Ukrainian).
Vovk M.I., Galyan Ye.B. Restoring of motor component of speech based on muscle movement control. Theoretical grounding. Kibernetika i vyčislitelʹnaâ tehnika, 2012, № 167, pp.51–60. (in Russian).
Vovk M.I., Galyan Ye.B. Pesonalized Biotechnical system to restore speech. Kibernetika i vyčislitelʹnaâ tehnika, 2015, №179, pp. 5–19. (in Russian).
Gritsenko V.І., Kotova A.B., Vovk M.I., Kozak L.M. Information technology in biology and medicine. Lectures: Tutorial. Part 3 Biotechnological systems theory and its application, pp.285–340, Kyiv: Nauk. Dumka, 2007, 381 p. (in Ukrainian).
Koltsova М.М. Motor activity and development of the child’s brain functions. Мoscow: “Pedagogika”, 1973, 143 p. (in Russian).
Varejkin Yu.P., Lastivka O.D., Lauta A.D. et.al. The formalization of medical information for automated solving the problem of treatment appointment. Medical and Biological Informatics: collection of scientific papers / the Editorial.: Amosov N.М. and etc. Kiev: VM Glushkov Institute of Cybernetics of NAS of USSR, 1967, pp. 68–71 (in Russian).
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Vovk M.I., Peleshok S.R., Galian Ye.B. The method of assessment of motor and sensory speech disorders. Collected papers of scientific-information center “Knowledge” based on XІ International correspondence scientific-practical conference: «The development of science in the XXI century» part 3. Kharkiv: collected papers. D, 2016, pp. 70-76. (in Russian).
Kibern. vyčisl. teh., 2015, Issue 179, pp 5-19.
Introduction. In previous studies, we proposed a new method and technology to restore speech based on biotechnical system of hand movement control. To support operator’s choice of personalized control actions we had to include the information component in the technical subsystem.
The purpose of this research is to develop the structural and functional model of personalized biotechnical system to restore speech, to determine functionality and relationship of the system components and to describe the structure, content and functions of the information component.
Methods. We used information and structural modeling, structural and functional modeling, Unified Modeling Language (UML).
Results. In this paper we present a structural and functional model of personalized biotechnical system of hand movement control to restore speech and define structure and functionality of its components. The functional relationships between the components of the system, transformation and orderliness of information circulating within and between components are described. We paid a particular attention to the information component. It provides support for the operator activity to choice personalized parameters of rehabilitation course and gives tools for operator’s learning of technology to restore speech in online and for storage of clinical information. The structure of information component, its content and the realization in PC architecture are described. Peculiarities of algorithmic and logical implementation of operations performed by informational component are represented in the activity diagram of decision support block in UML notation. Elements of information component such as electronic library, decision support block, a database of medical records are realized using software Swish Max 4.0, Sony Vegas Pro 9.0, Visual Studio 2013.
Conclusions. Personalized biotechnical system to restore speech under consideration is an intellectual, logical thinking, teaching system due to information component that is included into its structure.
Keywords: personalized biotechnical system, speech restoring, information system, hand movement control, structural and functional model, decision support block.
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