Performance of Bispectral Features and Cardiac Severity

By Imane Debbal

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.

• Format: Paperback
• Language: English
• ISBN: 6209453635
• ISBN13: 9786209453632
• Release Date: February 2026
• Publisher: Our Knowledge Publishing
• Length: 52 Pages
• Weight: 0.18 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"