A Proposal for Cardiac Arrhythmia Classification using Complexity Measures

Autor:	AROTARITEI, D., COSTIN, H., PASARICA, A., ROTARIU, C.
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	complexity theory decision trees electrocardiography random sequences classification algorithms fuzzy set Electrical engineering. Electronics. Nuclear engineering TK1-9971 Computer engineering. Computer hardware TK7885-7895
Zdroj:	Advances in Electrical and Computer Engineering, Vol 17, Iss 3, Pp 29-34 (2017)
Druh dokumentu:	article
ISSN:	1582-7445 1844-7600
DOI:	10.4316/AECE.2017.03004
Popis:	Cardiovascular diseases are one of the major problems of humanity and therefore one of their component, arrhythmia detection and classification drawn an increased attention worldwide. The presence of randomness in discrete time series, like those arising in electrophysiology, is firmly connected with computational complexity measure. This connection can be used, for instance, in the analysis of RR-intervals of electrocardiographic (ECG) signal, coded as binary string, to detect and classify arrhythmia. Our approach uses three algorithms (Lempel-Ziv, Sample Entropy and T-Code) to compute the information complexity applied and a classification tree to detect 13 types of arrhythmia with encouraging results. To overcome the computational effort required for complexity calculus, a cloud computing solution with executable code deployment is also proposed.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/cb43f428ccb342aaa9e40adc2577b5e2 Zobrazit plný text záznamu View record in DOAJ