DocumentCode :
3085645
Title :
Predicting imminent episodes of ventricular tachyarrhythmia - retrospective analysis of short R-R records from ICD
Author :
Thong, Tran
Author_Institution :
Department of Biomedical Engineering, Oregon Health & Science University, 20000 NW Walker Rd, MS OGI602, Beaverton, 97006-8921, USA
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
5664
Lastpage :
5667
Abstract :
A predictor of an imminent episode of ventricular tachyarrhythmia, namely ventricular tachycardia and ventricular fibrillation has been developed. It only uses R-R records. The previous work was based on long R-R records stored in the memory of implantable cardioverter-defibrillators. With 1.8 hour of data, sensitivity of 53–83% can be achieved with corresponding specificity of 57–91%, depending on which set of criteria are used. The Medtronic ICD data series was made available to us. This consists of 135 pairs of files with 1024 R-R intervals. Each pair consists of a record that ends with the detection of the tachyarrhythmia, and a “most recent” record just prior to the interrogation of the device. It was hoped that the “most recent” record can be used to improve the specificity of the prediction algorithm. The predictor pattern was found in 29% of the arrhythmic records, and in 38% of the records with heart rate variability, namely SDNN, greater than 20 ms. This is comparable to the 40% results for similar conditions found earlier for records only 0.2 hr long. Unfortunately, due to a “white coat effect”, the predictor pattern was found in 40% of the “most recent” records. While this new set of data has confirmed the sensitivity of the arrhythmia predictor, a fault in the data collection process this data set did not add to our understanding of the predictor behavior with a normal heart rhythm.
Keywords :
Acceleration; Biomedical engineering; Cardiology; Fibrillation; Heart rate; Heart rate variability; Medical treatment; Prediction algorithms; Rhythm; Testing; Algorithms; Defibrillators, Implantable; Diagnosis, Computer-Assisted; Electrocardiography; Humans; Pattern Recognition, Automated; Reproducibility of Results; Retrospective Studies; Sensitivity and Specificity; Tachycardia, Ventricular; Therapy, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4650499
Filename :
4650499
Link To Document :
بازگشت