Abstract | ||
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Despite the wide literature on R-wave detection algorithms for ECG Holter recordings, the long-term monitoring applications are bringing new requirements, and it is not clear that the existing methods can be straightforwardly used in those scenarios. Our aim in this work was twofold: First, we scrutinized the scope and limitations of existing methods for Holter monitoring when moving to long-term monitoring; Second, we proposed and benchmarked a beat detection method with adequate accuracy and usefulness in long-term scenarios. A longitudinal study was made with the most widely used waveform analysis algorithms, which allowed us to tune the free parameters of the required blocks, and a transversal study analyzed how these parameters change when moving to different databases. With all the above, the extension to long-term monitoring in a database of 7-day Holter monitoring was proposed and analyzed, by using an optimized simultaneous-multilead processing. We considered both own and public databases. In this new scenario, the noise-avoid mechanisms are more important due to the amount of noise that exists in these recordings, moreover, the computational efficiency is a key parameter in order to export the algorithm to the clinical practice. The method based on a Polling function outperformed the others in terms of accuracy and computational efficiency, yielding 99.48% sensitivity, 99.54% specificity, 99.69% positive predictive value, 99.46% accuracy, and 0.85% error for MIT-BIH arrhythmia database. We conclude that the method can be used in long-term Holter monitoring systems. |
Year | DOI | Venue |
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2018 | 10.3390/s18051387 | SENSORS |
Keywords | Field | DocType |
QRS detection,ECG,long-term monitoring,Holter,7-day | Waveform analysis,Data mining,Monitoring system,Clinical Practice,Polling,Electronic engineering,Beat detection,Engineering,Free parameter | Journal |
Volume | Issue | Citations |
18 | 5.0 | 0 |
PageRank | References | Authors |
0.34 | 15 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Francisco Manuel Melgarejo-Meseguer | 1 | 3 | 1.41 |
Estrella Everss-Villalba | 2 | 3 | 1.07 |
Francisco-Javier Gimeno-Blanes | 3 | 17 | 3.49 |
Manuel Blanco-Velasco | 4 | 314 | 30.57 |
Zaida Molins-Bordallo | 5 | 0 | 0.34 |
joseantonio floresyepes | 6 | 0 | 1.35 |
José Luis Rojo-Álvarez | 7 | 270 | 41.81 |
Arcadi García-Alberola | 8 | 72 | 16.12 |