DocumentCode :
674661
Title :
Multivariate classification of cardiac autonomic function and echocardiographic abnormalities
Author :
Granasen, Gabriel ; Wiklund, Urban
Author_Institution :
Radiat. Sci., Umea Univ., Umea, Sweden
fYear :
2013
fDate :
22-25 Sept. 2013
Firstpage :
1151
Lastpage :
1154
Abstract :
Abnormalities in the function, physiology and the regulation of the heart can be diagnosed using echocardiography (ECHO) and analysis of heart rate variability (HRV). Patients with transthyretin amyloidosis often present increased wall thickness in the myocardium and/or autonomic dysfunction. We used a novel approach to analyse the relationship between these findings, using a combination of dimension reduction techniques and model based clustering.
Keywords :
echocardiography; medical disorders; HRV analysis; autonomic dysfunction; cardiac autonomic function; dimension reduction techniques; echocardiographic abnormalities; heart rate variability analysis; heart regulation; model based clustering; multivariate classification; myocardium dysfunction; transthyretin amyloidosis; Analytical models; Correlation; Diseases; Heart rate variability; Loading; Principal component analysis;
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 :
6713586
Link To Document :
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