Detail publikace

ECG Classification using CD-HMM for Educational Purposes

KICMEROVA, D.

Originální název

ECG Classification using CD-HMM for Educational Purposes

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The automatic detection and classification of cardiac arrhythmias is important for diagnosis of cardiac abnormalities. Modern education is not possible without the use of specialized program tools and visual demonstrations of new methods. This work is focused on classification of normal sinus rhythm and premature ventricular contractions of the human heart. The proposed method uses wavelets for the feature selection and extraction (searching for a local maximum in the contour envelope successfully detects R-peaks) and Continuous Hidden Markov models for the classification. The ECG data is taken from standard MIT-BIH arrhythmia database. The method was applied in a custom-made educational tool used in a Introduction to Medical Informatics master course.

Klíčová slova

ECG, CD-HMM, classification

Autoři

KICMEROVA, D.

Rok RIV

2006

Vydáno

27. 4. 2006

Nakladatel

Ing. Zdeněk Novotný, CSc.

Místo

Brno

ISBN

80-214-3163-6

Kniha

Proceedings of the 12th Conference Student EEICT 2006

Číslo edice

12

Strany od

336

Strany do

340

Strany počet

5

BibTex

@inproceedings{BUT18494,
  author="Dina {Kičmerová}",
  title="ECG Classification using CD-HMM for Educational Purposes",
  booktitle="Proceedings of the 12th Conference Student EEICT 2006",
  year="2006",
  volume="12",
  number="12",
  pages="5",
  publisher="Ing. Zdeněk Novotný, CSc.",
  address="Brno",
  isbn="80-214-3163-6"
}