Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
INFORMATION TECHNOLOGY FOR REMOTE MOTOR REHABILITATION
Abstract:
The information technology (IT) for remote motor rehabilitation of patients has been developed. The technology is based on a quantitative comparison of kinematic parameters for the doctor- instructor's movement and patient's one coming from the web-cameras. The training and repeatable video streams are subjected to intra and inter-frame processing. Such procedures as image background subtraction, figure binarization , skeletonization and specific points of the figure searching are executed in the process of intra-frame processing. Coordinate vector of characteristic points of the figure comes to inter-frame processing. When inter-frame processing The matrix of the human body motion kinematic parameters: the trajectories , the tangential velocities and accelerations of characteristic points is constructed . The measures of the difference are calculated to quantify the differences in training and repetitive movements. The Chebyshev's difference measure is calculated for the coordinates of feature points and the cosine measure is calculated for tangential velocities and accelerations. If the difference between these measures do not exceed the thresholds established experimentally, the movement is considered as right if the difference between these measures do not exceed the experimentally established thresholds . Otherwise the instructions for correction of patient movements are automatically generated and transmitted to one. IT is focused on the use of economical computers with free software for availability of a wide range of consumers. IT is implemented practically in a client-server architecture. Since the resource-intensive operations are performed for the video stream processing it is organized in powerful remote server. IT is implemented as a remote system prototype motor rehabilitation. Prototype testing has shown the correctness of the basic principles of the IT. The system provides the right corrective recommendations in real-time. Prospects for further research is to improve the IT opportunities for multi-user access to the system with a variety of devices - tablets, phablet, phones.
Authors:
Keywords
DOI
10.15276/etks.18.94.2015.4
References
1. Nazarenko G.I., Guliev Ya.I., and Erma-kov D.E. Meditsinskie informatsionnyie siste-myi: teoriya i praktika [Medical Information Systems: Theory and Practice], (2005), Mos-cow, Russian Federation, Fizmatlit Publ., 320 p. (In Russian).
2. Kobrinskiy B.A., and Zarubina T.V. Meditsinskaya informatika [Medical Informat-ics], (2009), Moscow, Russian Federation, Akademiya Publ., 320 p. (In Russian).
3. Rahman S.A., Shaheen Afaf A., (2011), Virtual Reality use in Motor Rehabilitation of Neurological Disorders: A Systematic Review, Middle-East Journal of Scientific Research, Vol. 7, No. 1, рр. 63 – 70.
4. Maureen K. Holden Virtual Environ-ments for Motor Rehabilitation: Review, (2005), Cyberpsychology & Behavior, Vol. 8 (5), pp. 187 – 211.
5. Chang Y.-J., Chen S.-F., and Huang J.-D., (2011), A Kinect-based System for Physical Rehabilitation: A pilot Study for Young Adults with Motor Disabilities Research in Develop-mental Disabilities, Vol. 32 (6), pp. 2566 –2570.
6. Kurakin A., and Zhang Z. Liu, (2012), A real Time System for Dynamic Hand Gesture Recognition with a Depth Sensor, EUSIPCO-2012: Proceedings of the 20th European Signal Processing Conference, pp. 1975 – 1979.
7. Pawlik P., and Bublinski Z., (2012), Vis-ual Surveillance for Movement Rehabilitation [Text], Image Processing & Communication, Vol. 17, No. 4, pp. 173 – 178.
8. Metsis V., Jangyodsuk Pat, Athitsos V., Maura Iversen, and Makedon F., (2013), Com-puter Aided Rehabilitation for Patients with Rheumatoid Arthritis [Text], International Con-ference on Computing, Networking and Com-munications (ICNC), San Diego, CA, pp. 97 –102.
9. Boltenkov V.A., and Nguen Gui Kiong. Dvumernaya proektivnaya model dvizheniya te-la cheloveka i ee primenenie v zadachah tele-meditsinyi [Two-Dimensional Projective Model of the Motion of the Human Body and its Ap-plication to Telemedicine], (2014), Informatika i Matematicheskie Metodyi v Modelirovanii, Odessa, Ukraine, Vol. 4 (4), pp. 312 – 323 (In Russian).
10. Boltenkov V.A., Nguen Gui Kiong, and Malyavin D.V. Analiz algoritmov skeletizatsii binarnyih izobrazheniy [Analysis of Skeletoni-zation Algorithms for Binary Images], (2015), Elektrotehnicheskie i Kompyuternyie Sistemy, Odessa, Ukraine, No. 17 (93), pp. 102 – 109 (In Russian).
11. Zhang T.Y., and Suen C.Y., (1984), A Fast Parallel Algorithm for Thinning Digital Patterns, Communications of ACM, Vol. 27( 3), pp. 236 –39.
12. Nhuen Hui Kiong, Boltenkov V.O., and Malyavin D.V. Printsipi pobudovi kom-p'yuternih sistem distantsiynogo trenu-vannya na osnovi analizu videopotoku [Principles of Computer Systems for Remote Training by Analyzing the Video Stream], (2014), Vos-tochno-Evropeyskiy Zhurnal Peredovyih Tehnologiy, Kharkov, Ukraine, Vol. 5/2 (71), pp. 25 – 33 (In Ukrainian).
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2017-11-17 03:13:44

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