Abstract
The methods of experimental study of complex machines cardiopulmonary resuscitation are developed. They involve the statistical modeling of the tested objects on the basis of technical parameter values and adaptive filtering, utilizing Kullback-Leibler information measure as a criterion of the state estimation. The measuring information on technical parameters obtained during their tests is analyzed as an example.
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