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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Performance of Bispectral Features and Cardiac Severity

Performance of Bispectral Features and Cardiac Severity

Debbal, Imane

Paperback

Technology & Engineering

ISBN10: 6209453635
ISBN13: 9786209453632
Publisher: Our Knowledge Publishing
Published: Feb 26 2026
Pages: 52
Weight: 0.18
Height: 0.12 Width: 6.00 Depth: 9.00
Language: English
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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