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Nowe czynniki do automatycznej klasyfikacji sygnalów EKG
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ISBN10: 6203890138
ISBN13: 9786203890136
Publisher: Wydawnictwo Nasza Wiedza
Published: Apr 28 2025
Pages: 120
Weight: 0.38
Height: 0.28 Width: 6.00 Depth: 9.00
Language: Polish
ISBN13: 9786203890136
Publisher: Wydawnictwo Nasza Wiedza
Published: Apr 28 2025
Pages: 120
Weight: 0.38
Height: 0.28 Width: 6.00 Depth: 9.00
Language: Polish
Niniejsza książka szczególowo opisuje nowatorską metodologię automatycznego generowania, kategoryzacji, symulacji, uzyskiwania danych EKG w czasie rzeczywistym, filtrowania i przetwarzania sygnalu EKG, ekstrakcji cech, równoważności między różnymi algorytmami i technikami analizy sygnalu EKG, wykrywania wszelkich nieprawidlowości w EKG, obliczania częstości rytmu serca przy użyciu MATLAB. Zaproponowano metodologię automatycznej kategoryzacji i klasyfikacji arytmii serca oraz normalnych rytmów zatokowych w oparciu o symulację w Matlabie. Książka omawia inżynierię biomedyczną, a następnie szczególowy opis różnych typów sygnalów EKG. Symulacja systemów dynamicznych jest jednym z najtrudniejszych zadań obliczeniowych ze względu na zlożonośc numeryczną i czas symulacji. Symulacja zostala przeprowadzona w programie MATLAB dla różnych zestawów danych wejściowych, takich jak normalny (zatokowy), bradykardia, tachykardia, stan stresu sygnalów EKG. Implikacje tego badania mogą byc pomocne dla badaczy naukowych w dziedzinie przetwarzania sygnalów EKG. Tak więc, pacjent kardiologiczny może zostac zidentyfikowany poprzez wykrycie jego poziomów energii EKG i porównanie ich z EKG normalnej osoby. Metoda ta może byc również stosowana do identyfikacji innych zaburzeń serca.
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