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

Robust Feature Space Optimization and Noise Removal from PCG

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
12 123 Ft
In this book, we have proposed a novel noise removal method of PCG signals using robust feature spac...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2018
oldal
88
EAN
9786138388869
Enbook ID
19346163
Súly
149
Méretek
150 x 220 x 5

Teljes leírás

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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