Wavelet-based fundamental heart sound recognition method using morphological and interval features

Wavelet-based fundamental heart sound recognition method using morphological and interval features

Accurate and reliable recognition of fundamental heart sounds (FHSs) plays a significant role in automated analysis of heart sound (HS) patterns. This Letter presents an automated wavelet-based FHS recognition (WFHSR) method using morphological and interval features. The proposed method first perfor...

Full description

Bibliographic Details
Main Authors: V. Nivitha Varghees, K.I. Ramachandran, K.P. Soman
Format: Article
Language:English
Published: Wiley 2018-06-01
Series:Healthcare Technology Letters
Subjects:
medical signal processing
phonocardiography
wavelet transforms
feature extraction
eGeneralMedical databases
PhysioNet/CinC HS Challenge
PASCAL HSs Challenge
decision-rule algorithm
amplitude-dependent thresholding rule
Shannnon energy envelope
HS delineation
high-frequency noises
low-frequency noises
murmurs
synchrosqueezing wavelet transform
PCG signal
phonocardiogram
WFHSR method
HS patterns
interval features
morphological features
wavelet-based fundamental heart sound recognition method
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2016.0109

Internet

https://digital-library.theiet.org/content/journals/10.1049/htl.2016.0109

Similar Items