Title :
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
fDate :
30 Oct-2 Nov 1997
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756968
