DocumentCode
674099
Title
Detection of glaucoma based on the analysis of cardiovascular signals
Author
Voss, Andreas ; Witt, K. ; Koch, Ed ; Fuest, Matthias ; Plange, Niklas
Author_Institution
Dept. of Med. Eng. & Biotechnol., Univ. of Appl. Sci. Jena, Jena, Germany
fYear
2013
fDate
22-25 Sept. 2013
Firstpage
225
Lastpage
228
Abstract
Especially vascular dysfunctions seem to play an important role in the development of glaucoma. The objective of this study was to investigate if the blood pressure regulation is impaired in glaucoma patients. Therefore, 30min ECG and continuous blood pressure were recorded from 10 healthy controls (CON) and 19 patients with glaucoma (GC). The time series of heart rate, systolic and diastolic blood pressure were extracted and analyzed applying univariate linear and nonlinear univariate and bivariate methods (symbolic dynamics and joint symbolic dynamics) to separate the groups. The index plvar2_Dia (symbolic dynamics) from diastolic blood pressure variability revealed high significant differences between GC and CON leading to a sensitivity of 90% and specificity of 80%. The combination of this parameter plvar2_Dia with SP101 (joint symbolic dynamics, coupling systolic blood pressure with heart rate) led to an increased specificity of 90% while the sensitivity was maintained at 90%. Parameters from the symbolic dynamics were able to characterize the diastolic blood pressure and the coupling between heart rate and systolic blood pressure and separated the GC and CON. The changes in short term blood pressure regulation patterns and the coupling with heart rate are a sign of a vascular dysfunction. Therefore, this method might contribute to an improved and preterm diagnosis of glaucoma.
Keywords
blood pressure measurement; diseases; electrocardiography; medical signal processing; time series; ECG signal; bivariate method; blood pressure regulation; cardiovascular signal analysis; continuous blood pressure measurement; diastolic blood pressure; glaucoma detection; heart rate; joint symbolic dynamics; nonlinear univariate method; sensitivity; specificity; systolic blood pressure; time series; univariate linear method; vascular dysfunctions; Abstracts; Atmospheric measurements; Electrocardiography; Force; Fractals; Heart rate variability; Particle measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2013
Conference_Location
Zaragoza
ISSN
2325-8861
Print_ISBN
978-1-4799-0884-4
Type
conf
Filename
6712452
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