Type 2 diabetes screening test by means of a pulse oximeter
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hdl:2117/99202
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Data publicació2016-04-20
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Abstract
In this paper, we propose a method for screening for
the presence of type 2 diabetes by means of the signal obtained
from a pulse oximeter. The screening system consists of two parts;
the first analyses the signal obtained from the pulse oximeter, and
the second consists of a machine-learning module.
The system consists of a front end that extracts a set of features
form the pulse oximeter signal. These features are based on
physiological considerations. The set of features were the input
of a machine-learning algorithm that determined the class of
the input sample, i.e. whether the subject had diabetes or not.
The machine-learning algorithms were random forests, gradient
boosting, and linear discriminant analysis as benchmark. The
system was tested on a database of 1, 157 subjects (two samples
per subject) collected from five community health centres.
The mean receiver operating characteristic (ROC) area found
was 69.4% (median value 71.9% and range [75.4%-61.1%]), with
a specificity=64% for a threshold that gave a sensitivity=65%.
We present a screening method for detecting diabetes that
has a performance comparable to the glycated haemoglobin
(haemoglobin A1c HbA1c) test, does not require blood extraction,
and yields results in less than five minutes.
CitacióMonte, E., Anyo, M., Torres, M., Juarez, P., Núñez, P., Aragón, C., Pedrosa, M., Álvarez-Rodríguez, M., González-Burguillos, M. Type 2 diabetes screening test by means of a pulse oximeter. "IEEE transactions on biomedical engineering", Vol. 64 (2). Feb 2017.
ISSN0018-9294
Versió de l'editorhttp://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=10
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