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| Description
| - The paper presents an application of a clustering technique inspired by ant colony metaheuristics. The paper addresses the problem of long-term (Holter) electrocardiogram data processing. Long-term recording produces a huge amount of biomedical data, which must be preprocessed prior to its presentation to the specialist. The paper also discusses relevant aspects improving the robustness, stability and convergence kriteria of the method. 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 and outperforms the standard methods. Electrocardiogram data clustering can effectively reduce the amount of data presented to the cardiologist: cardiac arrhythmia and significant morphology changes in the ECG can be visually emphasized in a reasonable time. The final evaluation of the ECG recording must still be made by an expert.
- The paper presents an application of a clustering technique inspired by ant colony metaheuristics. The paper addresses the problem of long-term (Holter) electrocardiogram data processing. Long-term recording produces a huge amount of biomedical data, which must be preprocessed prior to its presentation to the specialist. The paper also discusses relevant aspects improving the robustness, stability and convergence kriteria of the method. 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 and outperforms the standard methods. Electrocardiogram data clustering can effectively reduce the amount of data presented to the cardiologist: cardiac arrhythmia and significant morphology changes in the ECG can be visually emphasized in a reasonable time. The final evaluation of the ECG recording must still be made by an expert. (en)
- Článek uvádí použití metody shlukování, která využívá metaheursitiku z chování mravenčí kolonie. Zaměřuje se na problém zpracování dlouhodobého záznamu EKG (Holter). Dlouhodobé záznamy představují obrovské množství dat, které musí být předzpracováno před tím, než je prezentováno odborníkovi. V článku jsou diskotovány důležité aspekty, které slouží ke zvýšení robustnosti, stability a kriterií konvergence metody. Uvedeno je srovnání se známými metodami shlukování (klasické i přirodou inspriované). Uvedená metoda překonáva standardní metody v případě databáze MIT-BIH. Shlukováním lze snížít objem dat, který je expertovi prezentován. Konečné zhodnocení smí provést pouze lékař. (cs)
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| Title
| - Modified Ant Colony Clustering Method in Long-term Electrocardiogram Processing
- Modified Ant Colony Clustering Method in Long-term Electrocardiogram Processing (en)
- Použití metody shlukování mravenčí kolonií při zpracování dlouhodobého záznamu elektrokardiogramu (cs)
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| skos:prefLabel
| - Modified Ant Colony Clustering Method in Long-term Electrocardiogram Processing
- Modified Ant Colony Clustering Method in Long-term Electrocardiogram Processing (en)
- Použití metody shlukování mravenčí kolonií při zpracování dlouhodobého záznamu elektrokardiogramu (cs)
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| skos:notation
| - RIV/68407700:21230/07:03132648!RIV08-MSM-21230___
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| http://linked.open.../vavai/riv/strany
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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/68407700:21230/07:03132648
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - Ant Colony Optimization; Artificial Inteligence; Clustering; Nature Inspired Methods; Particle Swarm (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
| - Sciences and Technologies for Health
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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...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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| http://linked.open...n/vavai/riv/zamer
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| number of pages
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| http://purl.org/ne...btex#hasPublisher
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| https://schema.org/isbn
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| http://localhost/t...ganizacniJednotka
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