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Performance of Bispectral Features and Cardiac Severity: Application to Phonocardiographic (PCG) Signals - Softcover
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The phonocardiogram (PCG) is a non-invasive bio-sound signal used to identify cardiovascular pathologies and assess their severity. This work follows studies that have demonstrated the value of Higher-Order Spectral Analysis (HOSA) techniques for monitoring cardiac severity. HOSA features were extracted and then selected using Random Forest Feature Importance and SelectKBest methods. They were subsequently integrated into a k-Nearest Neighbor (KNN) classifier. Out of fourteen initial features, four achieved an accuracy of 99.7%, confirming the relevance of this approach for PCG signal analysis.
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Performance of Bispectral Features and Cardiac Severity
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Performance of Bispectral Features and Cardiac Severity
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Performance of Bispectral Features and Cardiac Severity: Application to Phonocardiographic (PCG) Signals
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Performance of Bispectral Features and Cardiac Severity
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Performance of Bispectral Features and Cardiac Severity : Application to Phonocardiographic (PCG) Signals
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The phonocardiogram (PCG) is a non-invasive bio-sound signal used to identify cardiovascular pathologies and assess their severity. This work follows studies that have demonstrated the value of Higher-Order Spectral Analysis (HOSA) techniques for monitoring cardiac severity. HOSA features were extracted and then selected using Random Forest Feature Importance and SelectKBest methods. They were subsequently integrated into a k-Nearest Neighbor (KNN) classifier. Out of fourteen initial features, four achieved an accuracy of 99.7%, confirming the relevance of this approach for PCG signal analysis. Seller Inventory # 9786209453632
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Performance of Bispectral Features and Cardiac Severity
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Performance of Bispectral Features and Cardiac Severity
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Performance of Bispectral Features and Cardiac Severity (Paperback)
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Paperback. Condition: new. Paperback. The phonocardiogram (PCG) is a non-invasive bio-sound signal used to identify cardiovascular pathologies and assess their severity. This work follows studies that have demonstrated the value of Higher-Order Spectral Analysis (HOSA) techniques for monitoring cardiac severity. HOSA features were extracted and then selected using Random Forest Feature Importance and SelectKBest methods. They were subsequently integrated into a k-Nearest Neighbor (KNN) classifier. Out of fourteen initial features, four achieved an accuracy of 99.7%, confirming the relevance of this approach for PCG signal analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209453632
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Performance of Bispectral Features and Cardiac Severity
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Performance of Bispectral Features and Cardiac Severity
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ISBN 10: 6209453635
ISBN 13: 9786209453632
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The phonocardiogram (PCG) is a non-invasive bio-sound signal used to identify cardiovascular pathologies and assess their severity. This work follows studies that have demonstrated the value of Higher-Order Spectral Analysis (HOSA) techniques for monitoring cardiac severity. HOSA features were extracted and then selected using Random Forest Feature Importance and SelectKBest methods. They were subsequently integrated into a k-Nearest Neighbor (KNN) classifier. Out of fourteen initial features, four achieved an accuracy of 99.7%, confirming the relevance of this approach for PCG signal analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786209453632