A Model of Mechanical Dyssynchrony Based on ECG Features
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61973-1_9
Reference7 articles.
1. Ahmed, I., Kayani, W.T.: Biventricular Devices. StatPearls Publishing, Treasure Island (FL) (2023) http://europepmc.org/books/NBK567773
2. Bonomini, M.P., Villarroel-Abrego, H., Garillo, R.: Spatial variance in the 12-lead ECG and mechanical dyssynchrony. J. Interv. Card. Electrophysiol. 62(3), 479–485 (2021). https://doi.org/10.1007/S10840-021-00999-9
3. Zavadovsky, K.V., et al.: Mechanical dyssynchrony for prediction of the cardiac resynchronization therapy response in patients with dilated cardiomyopathy. Kardiologiia 61(7), 14–21 (2021). https://doi.org/10.18087/CARDIO.2021.7.N1420
4. Yang, T., Gregg, R.E., Babaeizadeh, S.: Detection of strict left bundle branch block by neural network and a method to test detection consistency. Physiol. Meas. 41(2), 025005 (2020). https://doi.org/10.1088/1361-6579/AB6E55
5. Kors, J.A., van Herpen, G., Sittig, A.C., van Bemmel, J.H.: Reconstruction of the Frank vectorcardiogram from standard electrocardiographic leads: diagnostic comparison of different methods. Eur. Heart J. 11(12), 1083–1092 (1990). https://doi.org/10.1093/oxfordjournals.eurheartj.a059647
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