Title :
Mutual corrected conditional entropy can measure RT-RR uncoupling in myocardial infarction patients
Author :
Porta, A. ; Baselli, G. ; Calegari, E. ; Mollisi, F. ; Lombardi, F. ; Cerutti, S.
Author_Institution :
Dipt. di Bioingegneria, Politecnico di Milano, Italy
Abstract :
The dependence of RT beat-to-beat variability on heart period may involve complex relationships based on an unknown number of previous RR intervals. A mutual corrected conditional entropy, MCCE(L), may provide a global index of dependence, that avoids any a priori model and is a function of the number of heart beats considered. MCCE(L) is implemented through counts of sequences formed by one RT and L-l preceding RR intervals and contains a maximum entropy correction based on the percent of sequences appearing only a single time. The minimum of MCCE(L) indicates the optimal length of sequences in relation to the available data. The difference between its normalised value and l is an index of the regularity induced by RR on RT, ρrt-rr. Series of 300 RR and RT were extracted from ECG in 10 normal subjects (NS) and 10 patients two weeks after myocardial infarction (MI). A high ρrt-rr was displayed by NS, while this feature appeared to be disrupted in MI
Keywords :
electrocardiography; entropy; medical signal processing; muscle; 2 w; ECG analysis; RR intervals; RT-RR uncoupling measurement; a priori model; global index; heart beats; maximum entropy correction; mutual corrected conditional entropy; myocardial infarction patients; normal subjects; Data mining; Distributed computing; Electrocardiography; Entropy; Heart beat; Myocardium; Parametric statistics; Pathology; Portals; Probability distribution;
Conference_Titel :
Computers in Cardiology 1998
Conference_Location :
Cleveland, OH
Print_ISBN :
0-7803-5200-9
DOI :
10.1109/CIC.1998.731792