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Strategie projektowania i implementacja filtrów adaptacyjnych na FPGA
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ISBN10: 6208724198
ISBN13: 9786208724191
Publisher: Wydawnictwo Nasza Wiedza
Published: Mar 10 2025
Pages: 56
Weight: 0.19
Height: 0.13 Width: 6.00 Depth: 9.00
Language: Polish
ISBN13: 9786208724191
Publisher: Wydawnictwo Nasza Wiedza
Published: Mar 10 2025
Pages: 56
Weight: 0.19
Height: 0.13 Width: 6.00 Depth: 9.00
Language: Polish
EKG jest elektryczną reprezentacją aktywności pompowania krwi przez serce, którą można latwo zarejestrowac za pomocą elektrod powierzchniowych na kończynach lub klatce piersiowej. Możemy filtrowac szumy o wysokiej i niskiej częstotliwości poprzez implementację stalych filtrów, ale artefakty ruchowe i szumy związane z ruchem mięśni nie mogą byc filtrowane przez stale filtry, ponieważ nie mamy żadnych wcześniejszych informacji dotyczących charakteru tych szumów, a sygnaly elektromiogramu (EMG) nakladają się na sygnaly EKG z powodu fizycznej bliskości ruchu ciala. Filtr statyczny jest wymagany do usunięcia wszystkich częstotliwości szumów, co może nadmiernie obniżyc atrybut EKG, ponieważ bicie serca prawdopodobnie mialoby również skladowe częstotliwości w odrzucanym zakresie. Aby ominąc tę ukrytą utratę informacji, stosuje się filtr adaptacyjny. W ten sposób technika adaptacyjna pozwala na filtr z większym zakresem akceptacji, co oznacza, że nasz filtr zapewnia jakośc sygnalu wyjściowego zgodną z celem dla diagnoz medycznych. Filtr adaptacyjny jest tutaj trenowany przy użyciu algorytmu LMS i algorytmu RLS. Algorytmy są egzekwowane przy użyciu Simulink jako modelu referencyjnego, w którym bloki są pobierane z zestawu bloków Xilinx.
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