Application of two non-linear methods for the localization of artifacts on trend data [medical]

Author

Senhadji, L. ; Nikolaidis, N. ; Ojaniemi, J.

Author_Institution

Lab. Traitement du Signal et de l´´Image, Rennes I Univ., France

Volume

4

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1409

Abstract

This paper presents the application of two non-linear methods for the localization of transient artifacts on trend data. The first method is based on the matching pursuit method. The second is a multi-dimensional technique which makes use of a particular neural network, namely the marginal median linear vector quantizer. The application concerns trend data issued from monitored pulmonary artery pressure

Keywords

blood pressure measurement; data analysis; data recording; medical signal processing; neural nets; patient monitoring; vector quantisation; marginal median linear vector quantizer; matching pursuit method; medical data recording; multidimensional technique; neural network; nonlinear methods; pulmonary artery pressure monitoring; transient artifact localization; trend data; Arteries; Dictionaries; Electrocardiography; Electroencephalography; Frequency; Matching pursuit algorithms; Monitoring; Multidimensional systems; Neural networks; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.756968

Filename

756968