@article{217d2879-d644-4a27-9285-95d155b63168,
author = {Piotr Flasiński},
title = {DPAR grammars for ECG diagnosis justification},
journal = {Schedae Informaticae},
volume = {2017},
number = {Volume 26},
year = {2018},
issn = {1732-3916},
pages = {37-47},keywords = {syntactic pattern recognition; ECG analysis; diagnostic justification},
abstract = {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.},
doi = {10.4467/20838476SI.17.003.8149},
url = {https://ejournals.eu/en/journal/schedae-informaticae/article/dpar-grammars-for-ecg-diagnosis-justification}
}