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Detail publikačního výsledku
KICMEROVA, D.
Originální název
ECG Classification using CD-HMM for Educational Purposes
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
ECG, CD-HMM, classification
Klíčová slova v angličtině
Autoři
Vydáno
27.04.2006
Nakladatel
Ing. Zdeněk Novotný, CSc.
Místo
Brno
ISBN
80-214-3163-6
Kniha
Proceedings of the 12th Conference Student EEICT 2006
Svazek
12
Strany od
336
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" }