Syntactic recognition of ECG signals by attributed finite automata
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摘要
A syntactic pattern recognition method of electrocardiograms (ECG) is described in which attributed automata are used to execute the analysis of ECG signals. An ECG signal is first encoded into a string of primitives and then attributed automata are used to analyse the string. We have found that we can perform fast and reliable analysis of ECG signals by attributed automata.
论文关键词：Attributed automata,Electrocardiograms,Filtering,Medical computation,Nondeterministic top-down parsing,Primitive extraction,Signal analysis,Syntactic pattern recognition
论文评审过程：Received 19 January 1994, Revised 20 March 1995, Accepted 3 April 1995, Available online 7 June 2001.
论文官网地址：https://doi.org/10.1016/0031-3203(95)00052-6
