Performance of Bispectral Features and Cardiac Severity | Application to Phonocardiographic (PCG) Signals

Imane Debbal

ISBN 10: 6209453635 / ISBN 13: 9786209453632

Published by Our Knowledge Publishing, 2026

About this Item

Performance of Bispectral Features and Cardiac Severity | Application to Phonocardiographic (PCG) Signals | Imane Debbal | Taschenbuch | Englisch | 2026 | Our Knowledge Publishing | EAN 9786209453632 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 134618180

Bibliographic Details

• Title: Performance of Bispectral Features and Cardiac Severity | Application to Phonocardiographic (PCG) Signals
• Publisher: Our Knowledge Publishing
• Publication Date: 2026
• Language: English
• ISBN 10: 6209453635
• ISBN 13: 9786209453632
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 96 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.