On the Beat Detection Performance in Long-Term ECG Monitoring Scenarios
AbstractDespite 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. View Full-Text
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Melgarejo-Meseguer, F.-M.; Everss-Villalba, E.; Gimeno-Blanes, F.-J.; Blanco-Velasco, M.; Molins-Bordallo, Z.; Flores-Yepes, J.-A.; Rojo-Álvarez, J.-L.; García-Alberola, A. On the Beat Detection Performance in Long-Term ECG Monitoring Scenarios. Sensors 2018, 18, 1387.
Melgarejo-Meseguer F-M, Everss-Villalba E, Gimeno-Blanes F-J, Blanco-Velasco M, Molins-Bordallo Z, Flores-Yepes J-A, Rojo-Álvarez J-L, García-Alberola A. On the Beat Detection Performance in Long-Term ECG Monitoring Scenarios. Sensors. 2018; 18(5):1387.Chicago/Turabian Style
Melgarejo-Meseguer, Francisco-Manuel; Everss-Villalba, Estrella; Gimeno-Blanes, Francisco-Javier; Blanco-Velasco, Manuel; Molins-Bordallo, Zaida; Flores-Yepes, José-Antonio; Rojo-Álvarez, José-Luis; García-Alberola, Arcadi. 2018. "On the Beat Detection Performance in Long-Term ECG Monitoring Scenarios." Sensors 18, no. 5: 1387.
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