Title :
Diagnostic system based on the information analysis of Electrocardiograph
Author_Institution :
2nd Central Mil. Clinical Hosp. named after P.V. Mandryka, Moscow, Russia
Abstract :
The paper presents measurement models for diagnosis various diseases using the parameters extracted from Electrocardiograph (ECG) signal. The approach includes: measurement of basic ECG parameters, creating of alphabet codes which present the dynamics of measured parameters, encoding the serial stream of the codes, comparison and recognition with pre-recorded patterns in order to take diagnosis. The intensive testing showed an efficiency of proposed method.
Keywords :
electrocardiography; medical signal processing; patient diagnosis; ECG parameters; alphabet codes; diagnostic system; disease diagnosis; electrocardiograph; information analysis; intensive testing; measurement models; serial code stream; Diseases; Electrocardiography; Embedded computing; Encoding; Heart; Information analysis; Standards; ECG; amplitude modulation; diagnostic system; information analysis;
Conference_Titel :
Embedded Computing (MECO), 2012 Mediterranean Conference on
Conference_Location :
Bar
Print_ISBN :
978-1-4673-2366-6
