The theoretical and practical principles of the synthesis of information technology for personalized control of the coordination of cyclical movements of the limbs are considered. The technology is implemented by two modifications of 4-channel programmed myostimulators, “TrenKorSyntez-4” and “MioAktyvSyntez-4”. In contrast to existing devices, the developed ones use a flexible structure of muscles involvement in cyclical movements, which is aimed at successful performance of a motor task. Displaying the movement program (model) on the front panels is an additional tool for its adjustment and making changes to the planned model. The results of clinical tests of operating model of “TrenKorSyntez-4” device are considered. Various approaches to cycle time synthesis, which are used by “TrenkorSynthez-4” and “MioAktyvSyntez-4” devices, as well as the advantages of digital-analog technical implementation of “MioAktyvSyntez-4” for the practical usage of the technology and expansion of its functional capabilities are discussed.
Theoretical and practical principles of synthesis of the information technology for diagnostics and personalized correction of scoliosis posture based on control of balance of muscles activity that form the spine vertical orientation depending on a state of balance have been considered. The technology is implemented by the "MYOBALANCE-STIMUL" computer complex. This complex consists of the two-channel programmed myostimulator "MyoBalanceStimul" or an improved two-channel myostimulator "MyoBalanceStimul-2", with an expanded range of myostimulation programs, and a personal computer. The usage of two correction methods, electromyographic feedback and programmed stimulation, the display of the balance of symmetrical back muscles activity on the indicators of the stimulators and on the computer contribute to personalization, stability of correction, assessment of its effectiveness, strengthening of the "muscle corset", prevention of the development of complications.
This article proposes an approach to solving the problem of regressors multicollinearity using the procedure of quasi-orthogonalization of data. The specified approach is based on the transformation of factors during their coding according to the rules of a full factorial experiment. It is shown that the proposed coding of factors leads to a reduction of multicollinearity of the data. This approach can be used both for building models based on short samples and for batch processing of Big Data.
An algorithm for determining the distance to the sound source based on amplitude and frequency characteristics was developed. The algorithm is implemented in the Matlab software environment.
Introduction. Amidst the multiplicity of audio signal processing tasks connected with the necessity of source separation, the problem of obtaining of its most prominent components occupies special place. One of the approaches, dedicated to solve such task, is based on melody extraction from musical audio recording. If generalized, such technique can be applied to a wider class of audio signals for extraction from them of the so-called fundamental frequencies contour. For its realization, an attempt was made to combine the method of median filtering with the salience estimation method, for their application at various stages of the analysis of the input audio signal. A combination of methods is used to obtain the f_0-representation of the melody, based on the processing of the filtered values obtained at the first step. The purpose of the article is to obtain the trajectory of f_0-values of the input audio signal and filtering of the corresponding to this trajectory harmonics. Results. The proposed method is effective for use in audio signal processing systems for fundamental frequencies contour of the most prominent tonal components extraction and its further reuse. Conclusions. Realized spectrum decomposition technique, based on the tendency of the time-frequency distribution of its constituent sounds, allows to effectively extract melodic contours from non-melodic contours. Nevertheless, there is a necessity for further research regarding the distribution model of harmonic and percussive characteristics relative to each other. Such a model should be extended with heuristics for more accurate filtering of stable in time tonal components of complex audio signals.
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