Uncertainty analysis of feature extraction from expired gas traces

Author

Parvis, Marco ; Gulotta, Carlo ; Torchio, Roberto

Author_Institution

Dipt. di Elettronica, Politecnico di Torino, Italy

Volume

50

Issue

5

fYear

2001

fDate

10/1/2001 12:00:00 AM

Firstpage

1133

Lastpage

1137

Abstract

Noninvasive medical analyses are a convenient method to study several pathologies even though their indirect nature often requires a complex processing to determine the relevant health "indicators." The usefulness of such indicators depends on the employed model, but also on the uncertainty that is connected to the complex processing involved in 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 also be applied to many other cases where the processing involves manual or automatic selection of suitable "key points" on repetitive traces

Keywords

chemical analysis; feature extraction; medical signal processing; patient diagnosis; biomedical signal processing; clinical parameters; expired gas traces; feature extraction; gas analysis; medical diagnosis; noninvasive medical analyses; uncertainty analysis; Collaboration; Costs; Feature extraction; Gases; Medical diagnosis; Medical diagnostic imaging; Medical tests; Pathology; Signal processing; Uncertainty;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.963172

Filename

963172