T. Oesterlein, T. Baas, H. Malberg, and O. Dössel. Multivariate AR model parameter estimation on time series extracted from the ECG of myocarditis patients. In Biomedizinische Technik / Biomedical Engineering (Proceedings BMT2011), vol. 56(1) , 2011
Biosignal analysis is aiming at analyzing physiological parameters for improved diagnosis and treatment. In this paper, the use of multivariate autoregressive models is proposed as a new method to analyze ECG data and to gain further information about the functionality of the heart. This application is demonstrated on myocarditis patients, where cure and diagnosis was observed. Timeseries of RR and QT intervals are analyzed by an autoregressive (AR) model, whose parameters are found dependent on the condition of the inflammation. The heart muscle inflammation is known as potentially lethal and an invasive biopsy still is the gold standard. Due to the variety of its symptoms, detailled non-invasive diagnosis is rather difficult and thus a highly challenging topic.
Student Theses (1)
T. Oesterlein. Multivariate AR model parameter estimation on time series extracted from the ECG and BP of myocarditis patients. Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT). . 2011