Analisi delle aritmie e interpretazione dei segnali ECG
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Analisi delle aritmie e interpretazione dei segnali ECG

Analisi delle aritmie e interpretazione dei segnali ECG


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About the Book

I vari algoritmi di classificazione possono essere utilizzati per classificare le caratteristiche estratte dal segnale ECG. Le prestazioni elevate della classificazione dipendono dalla capacità di separare i vettori di caratteristiche nello spazio delle caratteristiche. L'architettura proposta presenta una classificazione delle aritmie basata sull'ECG con caratteristiche più robuste e un classificatore basato sulla regressione. Propone un'efficace classificazione automatizzata delle aritmie cardiache utilizzando il database delle aritmie MIT-BIH e il set di dati clinici locali. Il metodo proposto ha addestrato il classificatore incrementale di regressione vettoriale con 320 campioni di aritmie diverse. Il metodo proposto è stato testato e confrontato con i classificatori più comuni, come la rete neurale artificiale, la Support Vector Machine e il classificatore a distanza minima. Dalla matrice di confusione si evince che l'algoritmo proposto funziona bene per il riconoscimento di più classi. L'architettura proposta utilizza sia le caratteristiche del dominio del tempo che quelle del dominio della frequenza per la classificazione. Grazie all'uso di statistiche di ordine superiore, il problema della classificazione diventa più semplice rispetto alle tradizionali caratteristiche morfologiche. L'algoritmo proposto fornisce prestazioni elevate anche con dati di apprendimento più piccoli.


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Product Details
  • ISBN-13: 9786205972403
  • Publisher: KS Omniscriptum Publishing
  • Binding: Paperback
  • Language: Italian
  • Returnable: N
  • Weight: 213 gr
  • ISBN-10: 6205972409
  • Publisher Date: 17 May 2023
  • Height: 229 mm
  • No of Pages: 104
  • Spine Width: 6 mm
  • Width: 152 mm


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