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Entwurf von Strategien und Implementierung von adaptiven Filtern auf FPGA
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ISBN10: 6208724155
ISBN13: 9786208724153
Publisher: Verlag Unser Wissen
Published: Mar 10 2025
Pages: 56
Weight: 0.19
Height: 0.13 Width: 6.00 Depth: 9.00
Language: German
ISBN13: 9786208724153
Publisher: Verlag Unser Wissen
Published: Mar 10 2025
Pages: 56
Weight: 0.19
Height: 0.13 Width: 6.00 Depth: 9.00
Language: German
Das EKG ist eine elektrische Darstellung der Blutpumpaktivität des Herzens, die sich leicht mit Oberflächenelektroden an den Gliedma en oder am Brustkorb aufzeichnen lässt. Wir können hoch- und niederfrequente Geräusche durch den Einsatz fester Filter filtern, aber Bewegungsartefakte und Geräusche, die mit der Bewegung von Muskeln zusammenhängen, können nicht durch feste Filter gefiltert werden, da wir keine Vorinformationen über die Art dieser Geräusche haben und die EKG-Signale aufgrund der physischen Nähe der Körperbewegung von Elektromyogramm-Signalen (EMG) überlagert werden. Ein statischer Filter ist erforderlich, um alle Störfrequenzen zu entfernen, was die Eigenschaften des EKGs übermä ig beeinträchtigen könnte, da der Herzschlag wahrscheinlich auch Frequenzkomponenten im zurückgewiesenen Bereich aufweisen würde. Um diesen latenten Informationsverlust zu umgehen, wird ein adaptiver Filter verwendet. Die adaptive Technik ermöglicht somit einen Filter mit einem grö eren Akzeptanzbereich, was bedeutet, dass unser Filter eine für medizinische Diagnosen absolut zielgenaue Ausgangssignalqualität liefert. Der adaptive Filter wird hier mithilfe des LMS-Algorithmus und des RLS-Algorithmus trainiert. Die Algorithmen werden mithilfe von Simulink als Referenzmodell durchgesetzt, wobei die Blöcke aus dem Xilinx-Blocksatz entnommen werden.
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