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  • 标题:ECG Data Analysis Using the Convolution of Mealy and Moore Automata
  • 本地全文:下载
  • 作者:Martusevičienė ; Navickas ; Vainoras
  • 期刊名称:Studies About Languages
  • 印刷版ISSN:2029-7203
  • 出版年度:2015
  • 卷号:100
  • 期号:4
  • 页码:103-106
  • DOI:10.5755/j01.eee.100.4.9890
  • 语种:English
  • 出版社:Faculty of Humanities, Kaunas University of Technology
  • 其他摘要:Clinical decision support systems are interactive computer programs. Most advanced of these systems are based on mathematical models. In this paper model of convolution of Mealy and Moore automata for real time ECG data analysis is introduced. The proposed model helps to effectively organize the feedback between current patient functional state and applied influence. Mathematical formalization of the system is also provided. Ill. 4, bibl. 6 (in English; abstracts in English, Russian and Lithuanian).
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