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Description
| - Paper presents the use and comparison of promising nature-inspired methods which can contribute in the ECG interpretation process. Heart-beat clustering can effectively reduce the amount of data presented to the cardiologist: cardiac arrhythmias and significant morphology changes in the ECG can be visually emphasized in a reasonable time. The exhaustive clustering methods are resource demanding (in terms of computational time and memory), therefore appropriate heuristics should be considered. The nature-inspired methods are currently in the focus of intensive research work. This paper presents the use of ant-colony inspired metaheuristics for data clustering. The method is compared with well known clustering techniques (both classical and nature-inspired), first testing on the known dataset and finally applying them to the real ECG data records from the MIT-BIH database.
- Paper presents the use and comparison of promising nature-inspired methods which can contribute in the ECG interpretation process. Heart-beat clustering can effectively reduce the amount of data presented to the cardiologist: cardiac arrhythmias and significant morphology changes in the ECG can be visually emphasized in a reasonable time. The exhaustive clustering methods are resource demanding (in terms of computational time and memory), therefore appropriate heuristics should be considered. The nature-inspired methods are currently in the focus of intensive research work. This paper presents the use of ant-colony inspired metaheuristics for data clustering. The method is compared with well known clustering techniques (both classical and nature-inspired), first testing on the known dataset and finally applying them to the real ECG data records from the MIT-BIH database. (en)
- Článek popisuje využití a srovnání významných metod inspirovaných přírodou, které lze využít v procesu interpretace EKG. Pomocí shlukování srdečních akcí lze ulehčit práci expertovi - kardiologovi. Metody, které prohledávají celý stavový prostor, jsou časově a výpočetně náročné, a proto je vhodné použít vhodné heuristické přístupy. Článek popisuje metodu, inspirovanou mravenčími koloniemi a srovnává ji s klasickými (i přírodou inspirovanými) technikami. Použity byly záznamy EKG z volně dostupné databáze MIT-BIH. (cs)
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Title
| - Heart signal processing using artificial intelligence methods
- Heart signal processing using artificial intelligence methods (en)
- Zpracování signálů srdce s využitím metod umělé inteligence (cs)
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skos:prefLabel
| - Heart signal processing using artificial intelligence methods
- Heart signal processing using artificial intelligence methods (en)
- Zpracování signálů srdce s využitím metod umělé inteligence (cs)
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skos:notation
| - RIV/68407700:21230/08:03151585!RIV09-MSM-21230___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/08:03151585
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - ECG; ant colony; clustering; data mining; expert systems; optimization (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of Workshop 2008
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Burša, Miroslav
- Lhotská, Lenka
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - České vysoké učení technické v Praze
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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