nach der Bestellung gedruckt Neuware - Printed after ordering - 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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Bibliographic Details

Title: Robust Feature Space Optimization and Noise Removal from PCG
Publisher: LAP LAMBERT Academic Publishing
Language: English
ISBN 10: 6138388860
ISBN 13: 9786138388869
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 6 millimeters depth
Weight: 149 grams

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