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
Link To Document :
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