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
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