DocumentCode
2094830
Title
Uncertainty analysis of feature extraction from expired gas traces
Author
Parvis, M. ; Gulotta, C. ; Torchio, R.
Author_Institution
Dipt. di Elettronica, Politecnico di Torino, Italy
Volume
2
fYear
2000
fDate
2000
Firstpage
710
Abstract
Noninvasive medical analyses are a convenient method to study several pathologies and determine important health `indicators´, even though an estimation of the indicator uncertainty is often difficult to obtain. The usefulness of such indicators depends on the employed model, but also on the uncertainty that is connected with the indicator determination. This paper deals with the problems related to the estimation of the uncertainty when the indicators are computed by means of a nontrivial processing on recorded traces of clinical parameters. The paper is focused on the analysis of expired gas traces, but the procedure can be applied in many other cases where the processing involves the manual or automatic selection on suitable `key points´ on repetitive traces
Keywords
feature extraction; mass spectroscopic chemical analysis; medical signal processing; patient diagnosis; pneumodynamics; uncertainty handling; clinical parameters; expired gas traces; feature extraction; noninvasive medical analyses; nontrivial processing; pathologies; uncertainty analysis; Costs; Feature extraction; Gases; Lungs; Medical diagnosis; Medical diagnostic imaging; Pathology; Signal analysis; Signal processing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
Conference_Location
Baltimore, MD
ISSN
1091-5281
Print_ISBN
0-7803-5890-2
Type
conf
DOI
10.1109/IMTC.2000.848829
Filename
848829
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