2023
DOI: 10.1007/s11517-023-02939-3
|View full text |Cite
|
Sign up to set email alerts
|

Dynamic modeling of photoacoustic sensor data to classify human blood samples

Argelia Pérez-Pacheco,
Roberto G. Ramírez-Chavarría,
Rosa M. Quispe-Siccha
et al.

Abstract: The photoacoustic effect is an attractive tool for diagnosis in several biomedical applications. Analyzing photoacoustic signals, however, is challenging to provide qualitative results in an automated way. In this work, we introduce a dynamic modeling scheme of photoacoustic sensor data to classify blood samples according to their physiological status. Thirty-five whole human blood samples were studied with a state-space model estimated by a subspace method. Furthermore, the samples are classified using the mo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 60 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?