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

Autor
González Pijuán, C.; Jensen, E.W.; Gambus, P.L.; Vallverdu, M.
Tipus d'activitat
Article en revista
Revista
PloS one
Data de publicació
2018-12-07
Volum
13
Número
12
Pàgina inicial
1
Pàgina final
21
DOI
https://doi.org/10.1371/journal.pone.0208642 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/127011 Obrir en finestra nova
URL
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0208642 Obrir en finestra nova
Resum
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 ...
Citació
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.
Grup de recerca
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Centre de Recerca en Enginyeria Biomedica

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