Detail publikace

Classification of ventricular premature and ischemic beats in animal electrograms

Originální název

Classification of ventricular premature and ischemic beats in animal electrograms

Anglický název

Classification of ventricular premature and ischemic beats in animal electrograms

Jazyk

en

Originální abstrakt

Many approaches have been proposed for automatic classification of different pathological events in ECG signals. Present study is focused on analysis and classification of non-ischemic, moderate and severe ischemic, and VPB segments in data obtained in rabbit isolated hearts. It is shown, that use of low number of morphological parameters calculated from electrograms combined with even simple classification method allows achieving of accurate results (with overall accuracy up to 0.99) for four types of the segments.

Anglický abstrakt

Many approaches have been proposed for automatic classification of different pathological events in ECG signals. Present study is focused on analysis and classification of non-ischemic, moderate and severe ischemic, and VPB segments in data obtained in rabbit isolated hearts. It is shown, that use of low number of morphological parameters calculated from electrograms combined with even simple classification method allows achieving of accurate results (with overall accuracy up to 0.99) for four types of the segments.

BibTex


@inproceedings{BUT118306,
  author="Marina {Ronzhina} and Lucie {Maršánová} and Radovan {Smíšek} and Veronika {Olejníčková} and Oto {Janoušek} and Petr {Veselý} and Jana {Kolářová} and Marie {Nováková} and Ivo {Provazník}",
  title="Classification of ventricular premature and ischemic beats in animal electrograms",
  annote="Many approaches have been proposed for automatic classification of different pathological events in ECG signals. Present study is focused on analysis and classification of non-ischemic, moderate and severe ischemic, and VPB segments in data obtained in rabbit isolated hearts. It is shown, that use of low number of morphological parameters calculated from electrograms combined with even simple classification method allows achieving of accurate results (with overall accuracy up to 0.99) for four types of the segments.",
  booktitle="Computing in Cardiology 2015",
  chapter="118306",
  doi="10.1109/CIC.2015.7411116",
  howpublished="online",
  year="2015",
  month="november",
  pages="1137--1140",
  type="conference paper"
}