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Incertezza Di Misura
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ISBN10: 6209878210
ISBN13: 9786209878213
Publisher: Edizioni Sapienza
Published: Mar 30 2026
Pages: 80
Weight: 0.26
Height: 0.19 Width: 6.00 Depth: 9.00
Language: Italian
ISBN13: 9786209878213
Publisher: Edizioni Sapienza
Published: Mar 30 2026
Pages: 80
Weight: 0.26
Height: 0.19 Width: 6.00 Depth: 9.00
Language: Italian
L'incertezza di misura è ampiamente utilizzata per stimare l'accuratezza dei risultati e valutare la conformità di prodotti e processi, ma è raramente esplorata nelle fasi di progettazione dei sistemi di misura. Questa tesi propone di trattarla come parametro informativo per guidare i miglioramenti nello sviluppo degli elettrocardiografi. Viene presentata una metodologia probabilistica basata sul metodo Monte Carlo per calcolare l'incertezza e supportare le decisioni di progettazione, combinata con un filtro adattivo NLM-SC, il cui parametro di controllo è un'incertezza target predefinita. Le prestazioni del filtro sono superiori al metodo NLM tradizionale per l'elaborazione dei segnali ECG. La metodologia è stata valutata mediante simulazione al computer, con il sistema suddiviso in un preamplificatore e uno stadio finale. I risultati indicano una maggiore influenza del preamplificatore sull'incertezza totale e indicano il misurando come principale fonte di incertezza. L'uso di resistenze dello 0,1% ha ridotto l'incertezza dal 2,13% allo 0,82% (copertura del 95%), dimostrando il potenziale dell'approccio per migliorare i progetti di misura.
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