Abstract
An information and diagnostic system (IDS) for examining the state of large elastic human blood vessels based on the pulse wave shape is proposed. This intelligent system equipped with an expert system as a decision making tool can process biomedical signals arriving from pulse wave sensors and can carry out multivariant analysis of the calculated indicators and characteristics. An inference engine for estimating the membership of the vessel states in a class of diseases is proposed. This engine is implemented based on fuzzy classification principles. The decision making procedure is simulated and its efficiency is estimated.
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Original Russian Text © A.V. Kychkin, 2013, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2013, No. 3, pp. 114–123.
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Kychkin, A.V. Intelligent information and diagnostic system for examining blood vessels. J. Comput. Syst. Sci. Int. 52, 439–448 (2013). https://doi.org/10.1134/S1064230713010073
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DOI: https://doi.org/10.1134/S1064230713010073