Segmentation of infant respiratory sounds with Malvar´s wavelets

Author

Ademovic, E. ; Charbonneau, G. ; Pesquet, J.-C.

Author_Institution

Inst. d´´Electron. Fondamentale, Univ. de Paris-Sud, Orsay, France

fYear

1994

fDate

3-6 Nov 1994

Abstract

The authors present an application of the Malvar´s wavelet transform to infant´s respiratory sounds. They first introduce the acoustical analysis of infantile respiratory sounds. Then, they describe the Adaptive Local Trigonometric Transform they use to operate a segmentation of the signal. The authors also present the results obtained with physiological signals, and they show that their approach allows to highlight symptomatic events called stridors among a set of consecutive events

Keywords

adaptive signal processing; bioacoustics; medical signal processing; wavelet transforms; Malvar´s wavelets; acoustical analysis; adaptive local trigonometric transform; consecutive events set; infant respiratory sounds segmentation; physiological signals; stridors; symptomatic events highlighting; Additives; Basis algorithms; Diseases; Entropy; Lattices; Partitioning algorithms; Pathology; Pediatrics; Spectral analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.412131

Filename

412131