Carte Robust Feature Space Optimization and Noise Removal from PCG Arijit Ukil

Robust Feature Space Optimization and Noise Removal from PCG

Limbă: engleză
Legare: Carte broșată
Disponibilitate: În depozitul extern
Expediem în 8-11 zile
172.39 lei
In this book, we have proposed a novel noise removal method of PCG signals using robust feature spac...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2018
Pagini
88
EAN
9786138388869
Enbook ID
19346163
Greutate
149
Dimensiuni
150 x 220 x 5

Descriere completă

In this book, we have proposed a novel noise removal method of PCG signals using robust feature space optimization. The proposed method identifies the noisy PCG signals and eliminates them to ensure effective clinical analytics. We depict more than 85% accuracy and high specificity of identifying noisy PCG signals while experimenting over annotated PCG datasets from large publicly available MIT-Physionet database. We have also shown that propose noise removal has the capability to significantly improve the clinical utility like detection of cardiac normal/ abnormal condition from heart sound or PCG signals.

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