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Poincaré plot analysis of cerebral blood flow signals : feature extraction and classification methods for apnea detection

Author
González Pijuán, C.; Jensen, E.W.; Gambus, P.L.; Vallverdu, M.
Type of activity
Journal article
Journal
PloS one
Date of publication
2018-12-07
Volume
13
Number
12
First page
1
Last page
21
DOI
https://doi.org/10.1371/journal.pone.0208642 Open in new window
Repository
http://hdl.handle.net/2117/127011 Open in new window
URL
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0208642 Open in new window
Abstract
Objective: Rheoencephalography is a simple and inexpensive technique for cerebral blood flow assessment, however, it is not used in clinical practice since its correlation to clinical conditions has not yet been extensively proved. The present study investigates the ability of Poincaré Plot descriptors from rheoencephalography signals to detect apneas in volunteers. Methods:A group of 16 subjects participated in the study. Rheoencephalography data from baseline and apnea periods were recorded ...
Citation
González Pijuán, C., Jensen, E.W., Gambus, P.L., Vallverdu, M. Poincaré plot analysis of cerebral blood flow signals : feature extraction and classification methods for apnea detection. "PloS one", 7 Desembre 2018, vol. 13, núm. 12, p. 1-21.
Group of research
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Biomedical Engineering Research Centre

Participants

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