Modulation filtering for noise detection in heart sound signals

Author

Ramos, J.P. ; Carvalho, P. ; Paiva, R.P. ; Henriques, J.

Author_Institution

Dept. of Inf. Eng., Univ. of Coimbra, Coimbra, Portugal

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

6013

Lastpage

6016

Abstract

Cardiac auscultation has proven to be an excellent diagnostic tool. Heart sound processing algorithms are not completely robust in the presence of noise, requiring clean segments of heart sounds to extract reliable diagnostic features. This paper presents a new approach to detect transient noises mixed with heart sound. The algorithm explores a single channel source separation algorithm and evaluates the non-stationary separated signals. It has the potential to be applied in real-time. Using a database of heart sounds acquired in real-life scenario, the method showed a sensitivity and a specificity of 93.6% and 92.3%, respectively.

Keywords

cardiovascular system; feature extraction; filtering theory; medical signal processing; noise measurement; source separation; cardiac auscultation; heart sound processing; modulation filtering; noise detection; nonstationary separated signals; sensitivity; single channel source separation algorithm; specificity; Feature extraction; Heart; Noise; Physiology; Sensitivity; Time frequency analysis; Trajectory; Algorithms; Diagnosis, Computer-Assisted; Heart Auscultation; Heart Sounds; Humans; Reproducibility of Results; Sensitivity and Specificity; Signal-To-Noise Ratio; Sound Spectrography;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091486

Filename

6091486