Search Results - "Shvaikova, Irina N."

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  1. 1

    Application of models library for medical information systems by Stashevskii, Pavel S., Shvaikova, Irina N.

    “…Application of models library for health care information systems is considered. Description of basic objects of the library, principle of model ware storage…”
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    Conference Proceeding
  2. 2

    Of the application a vector-modeling and visual diagnostic images in the system of monitoring and diagnostics of pathology of the central nervous system at children by Shvaikova, I.N.

    “…The present report deals with the questions of the application of the vector-modeling visual diagnostics model and images for the solving of problems of…”
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    Conference Proceeding
  3. 3

    Specificity of design and hardware implementation of humanoid robot by Sagitov, Yurii I., Yakovina, Pavel Yu, Pavlov, Igor M., Pak, Nikolai Yu, Shvaikova, Irina N.

    “…Paper describes specificity of design and hardware implementation of humanoid robot. Description of main constructive units is presented. Software design for…”
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    Conference Proceeding
  4. 4

    Development of the concept of advance of the automated systems of medical monitoring by Gubarev, V.V., Shvaikova, I.N., Nasonova, N.V.

    “…In the report such concepts as are considered: medical monitoring, the risk factors, operated (modified) initial data and data of monitoring, diagnostic…”
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    Conference Proceeding
  5. 5

    Device Measuring Parameters of Biologically Active Points by Belavskaya, S.V., Lisitsyna, L.I., Panfiljonok, I.M., Shvaikova, I.N.

    “…The paper defines the device to estimate five parameters of biologically active points (BAP). They are electric resistance of direct and indirect current,…”
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    Conference Proceeding
  6. 6

    Model and algorithmic support of the automated system for diagnosing the pathology of central nervous system by Gubarev, Shvaikova

    “…Various system of medical diagnosing developed and used for to solve various diagnostic tasks does not take into account frequently the diverse diagnostic data…”
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    Conference Proceeding