DocumentCode :
2127479
Title :
The prediction of a potentially fatal cardiac event in the next 2 to 24 hours and the prediction of a myocardial infarction related death or sudden death
Author :
Wood, NB
Author_Institution :
GW Scientific, Inc., Rowayton, CT, USA
fYear :
2001
fDate :
2001
Firstpage :
509
Lastpage :
512
Abstract :
Eleven predictive markers have been developed based on the empirical examination of the R-R intervals (RR) of Holter files from patients who were normal, post-MI (myocardial infarction), and who had expired due to sudden death (SD). Combinations of these markers predict the onset of a potentially fatal cardiac event such as an MI-related death or SD in the next 2 to 24 hours. A potentially lethal variability can be either a decreased or an increased variability. In a retrospective learning study of 83 Holter files comprising 39 patients who expired of an MI-related death or SD, and 44 post-MI patients, the results were 3% false-negative and 7% false-positive. In a retrospective test study of 156 Holter files comprising 61 MI-related death or SD patients and 95 post-MI patients, the results were 7% false-negative and 13% false-positive. There appears to be a direct relationship between decreased variability and MI-related death, and increased variability and SD
Keywords :
electrocardiography; forecasting theory; 2 to 24 hour; ECG; Holter files; RR intervals; false-negative results; false-positive results; lethal variability; myocardial infarction-related death prediction; potentially fatal cardiac event prediction; predictive markers; sudden death prediction; Heart beat; Heart rate variability; Myocardium; Neural networks; Niobium; Rhythm; Standards development; Stress; Testing; Transducers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 2001
Conference_Location :
Rotterdam
ISSN :
0276-6547
Print_ISBN :
0-7803-7266-2
Type :
conf
DOI :
10.1109/CIC.2001.977704
Filename :
977704
Link To Document :
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