Title
Combinatorial Detection of Arrhythmia
Abstract
Three problems that arise from electrocardiogram (ECG) interpretation and analysis are presented, followed by algorithmic solutions based on a combinatorial model. First, the beat classification problem is discussed and possible solutions are investigated. Secondly, given the RR-intervals, which can be determined using this combinatorial model, or any QRS detection algorithm, the heart rate is determined in a statistical manner from which sinus bradycardia and sinus tachycardia are inferred. Finally, a new combinatorial method for measuring heart rate variability (HRV) is presented and an algorithm for detecting atrial fibrillation is described. The developed algorithms were implemented and tests were carried out on records from the MIT-BIH arrhythmia database. The results of the tests are presented and discussed.
Year
Venue
Keywords
2010
BIOSIGNALS 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING
Arrhythmia,Combinatorics,Electrocardiogram (ECG),Heart rate variability,Pattern matching
Field
DocType
Citations 
Atrial fibrillation,Combinatorial method,Pattern recognition,Sinus tachycardia,Computer science,Heart rate variability,Beat (music),Artificial intelligence,Heart rate,Sinus bradycardia,Combinatorial model
Conference
1
PageRank 
References 
Authors
0.43
2
4
Name
Order
Citations
PageRank
Julien Allali1648.16
Pascal Ferraro27711.54
Costas S. Iliopoulos31534167.43
Spiros Michalakopoulos4253.17