Data clustering methods for the determination of cerebral autoregulation functionality.
J Clin Monit Comput
; 30(5): 661-8, 2016 Oct.
Article
em En
| MEDLINE
| ID: mdl-26377023
ABSTRACT
Cerebral blood flow is regulated over a range of systemic blood pressures through the cerebral autoregulation (CA) control mechanism. The COx measure based on near infrared spectroscopy (NIRS) has been proposed as a suitable technique for the analysis of CA as it is non-invasive and provides a simpler acquisition methodology than other methods. The COx method relies on data binning and thresholding to determine the change between intact and impaired autoregulation zones. In the work reported here we have developed a novel method of differentiating the intact and impaired CA blood pressure regimes using clustering methods on unbinned data. K-means and Gaussian mixture model algorithms were used to analyse a porcine data set. The determination of the lower limit of autoregulation (LLA) was compared to a traditional binned data approach. Good agreement was found between the methods. The work highlights the potential application of using data clustering tools in the monitoring of CA function.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Análise por Conglomerados
/
Circulação Cerebrovascular
/
Interpretação Estatística de Dados
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Animals
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
J Clin Monit Comput
Assunto da revista:
INFORMATICA MEDICA
/
MEDICINA
Ano de publicação:
2016
Tipo de documento:
Article
País de afiliação:
Reino Unido