Key result
DPAR grammars provide a formal model to differentiate subclasses of ECG phenomena for diagnosis justification.
A novel DPAR grammar model is presented for justifying ECG diagnoses and differentiating ECG phenomena.
A novel model of dynamically programmed attributed regular grammars, DPAR, for the ECG diagnosis justification purposes is presented in the paper.A formal model, power properties and a case of DPAR grammar are described.The formalism of DPAR grammars allows to differentiate between certain subclasses of ECG phenomena.
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A 2017 study studied this question. Dynamically programmed attributed regular (DPAR) grammars provide a formal model that allows differentiation between certain subclasses of ECG phenomena for diagnosis justification.
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