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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/42985
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dc.contributor.authorDavydova, N. S.-
dc.contributor.authorLukashevich, D.-
dc.contributor.authorBykov, D.-
dc.contributor.authorVasiuk, V.-
dc.contributor.authorOsipov, A. N.-
dc.contributor.authorSemeniuk, A.-
dc.contributor.authorMezhennaya, M. M.-
dc.contributor.authorDavydov, M. V.-
dc.date.accessioned2021-02-15T12:09:14Z-
dc.date.available2021-02-15T12:09:14Z-
dc.date.issued2020-
dc.identifier.citationAmplitude-time analysis of biomechanical patterns of human motions / N. Davydova [et. al.] // Journal of Engineering Science. – 2020. – Vol. XXVII, № 3. – P. 169–181. – DOI: 10.5281/zenodo.3949690 UDC 004.9:612.76.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/42985-
dc.description.abstractBiomechanical analysis of motions solves the tasks of efficiency estimation of movement realization, search of technique optimal variants and tactics of motion performance, definition of a degree and reasons of not matching real movement action to optimal one. Today, inertial measurement devices based on microelectromechanical sensors (MEMS) are becoming more and more popular for biomechanical analysis of human motions. The paper describes an algorithm for estimation of the biomechanical pattern of human motions based on amplitude-time analysis of inertial gyroscope signals. The presented algorithm allows to quantitatively estimate spatial, temporal and spatiotemporal parameters of motion, symmetry of left and right limbs motions and reproduction stability of the motion biomechanical pattern. The specific feature of the algorithm is its universality for the study of symmetrical and asymmetrical motions.ru_RU
dc.language.isoenru_RU
dc.publisherTechnical University of Moldovaru_RU
dc.subjectпубликации ученыхru_RU
dc.subjectbiomechanicsru_RU
dc.subjectmotion patternru_RU
dc.subjectinertial gyroscoperu_RU
dc.subjectdigital signal processingru_RU
dc.titleAmplitude-time analysis of biomechanical patterns of human motionsru_RU
dc.typeСтатьяru_RU
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