DocumentCode :
1897571
Title :
Discovering acute myocardial infarction markers in body surface mapping
Author :
Lopez, J.A. ; Nugent, C.D. ; Black, N D
fYear :
2003
fDate :
24-26 April 2003
Firstpage :
184
Lastpage :
186
Abstract :
Since acute myocardial infarction (AMI) is localised on the torso, and due to the high number of electrocardiographic leads involved in body surface mapping BSM, it is desirable to find a reduced set of BSM electrocardiographic leads and features which could be potential markers of MI. We applied Fisher criterion for the discrimination, in order to suggest the most discriminative areas of the torso along with their associated ECG features. We derive these results from a BSM data base consisting of 170 non AMI individuals and 67 AMI individuals. We then indicate with statistical continuous map representations of lead relevance and feature relevance scores that, for AMI the most discriminative information is not localised on the precordial area but on the upper left chest and lower mid-axillary right area.
Keywords :
electrocardiography; information services; medical information systems; medical signal processing; statistical analysis; statistical databases; Fisher criterion; acute myocardial infarction individuals; acute myocardial infarction markers; body surface mapping data base; body surface mapping electrocardiographic leads; discriminative information; electrocardiographic features; feature relevance scores; lead relevance; lower mid-axillary right area; precordial area; statistical continuous map representations; torso; upper left chest; Ambient intelligence; Cardiography; Data mining; Electrocardiography; Feature extraction; Informatics; Myocardium; Simultaneous localization and mapping; Time measurement; Torso;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on
Print_ISBN :
0-7803-7667-6
Type :
conf
DOI :
10.1109/ITAB.2003.1222506
Filename :
1222506
Link To Document :
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