Abstract | ||
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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 |
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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 Allali | 1 | 64 | 8.16 |
Pascal Ferraro | 2 | 77 | 11.54 |
Costas S. Iliopoulos | 3 | 1534 | 167.43 |
Spiros Michalakopoulos | 4 | 25 | 3.17 |