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001-es BibID:	BIBFORM020952
Első szerző:	Vágner Anikó (informatikus)
Cím:	Clustering of ECG signals / Anikó Vágner, István Juhász, József Kuk, Ádám Balázs
Dátum:	2011
Megjegyzések:	Holter electrocardiographic (ECG) signals are ambulatory long-term registers used to detect heart diseases. These signals normally include more, than one channels and its duration is up to 24 hours. The principal problem of the cardiologists is the manual inspection of the whole Holter ECG to find all those beats which morphology differs from the normal beats.In this paper we present our method. We apply firstly a preprocessing to represent a signal with characteristic points. In this way we work with a set of points with a few dimensions instead of the signals. Secondly we apply a grid clustering technique to reduce the number of points. Finally we use a special density-based clustering algorithm, named Optics. We can also visually identify the beats or a partition of points. In this way we can perform manual clustering. With this method, the result is easy ECG analysis and optimization of time of processing.We created a program used C# programming language in .NET environment. The main functionality of our program is: preprocessing, manual or graphical clustering and automatic clustering.
ISBN:	978 963 9894 72 3
Tárgyszavak:	Természettudományok Matematika- és számítástudományok előadáskivonat
Megjelenés:	Proceedings of the 8th International Conference on Applied Informatics : Eger, Hungary, January 27 - 30, 2010 : Volume 2. / ed. Attila Egri-Nagy [et al.]. - p. 129-137. -
További szerzők:	Juhász István (1950-) (informatikus) Kuk József Balázs Ádám
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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