Affordable Access

Publisher Website

A filter bank-based source extraction algorithm for heart sound removal in respiratory sounds

Authors
Journal
Computers in Biology and Medicine
0010-4825
Publisher
Elsevier
Publication Date
Volume
39
Issue
9
Identifiers
DOI: 10.1016/j.compbiomed.2009.06.005
Keywords
  • Respiratory Sound (Rs)
  • Heart Sound (Hs)
  • Single-Channel Source Extraction
  • Filter Banks
  • Template Matching
Disciplines
  • Computer Science

Abstract

Abstract In this paper, we consider the problem of heart sounds (HS) removal from respiratory sounds (RS), and a novel semi-blind single-channel source extraction algorithm is proposed. The proposed method is able to extract the underlying pure RS from the HS corrupted noisy input signals by incorporating the filter banks and template-based matching using FIR filters. For performance evaluation of the presented method, the average power spectral densities (PSD) of the input RS segments without HS have been compared with the PSD of the reconstructed signals over six selected frequency bands from 20 to 800 Hz. The proposed method is tested for various types of RS recordings and found effective by yielding an overall maximum spectral difference of 2.8707 ± 0.9875 dB for a frequency range below 800 Hz.

There are no comments yet on this publication. Be the first to share your thoughts.

Statistics

Seen <100 times
0 Comments

More articles like this

Adaptive reduction of heart sounds from lung sound...

on Studies in health technology a... 1997

Heart sounds.

on Guy's Hospital gazette Feb 14, 1948

[Heart sounds].

on Schweizerische medizinische Wo... Oct 02, 1965

[Heart sounds].

on Il Policlinico. Sezione pratic... Jan 07, 1957
More articles like this..