Analysis of Electrocardiogram Signals

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Fan, K., Aslam, M. M., Dang, L. T., Gorijala, P., Shi, R., Feingold, E., Kamboh, M. I., Lee, J. H., Xicota, L., Cohen, A. D., Handen, B. L., Christian, B. T., Head, E., Mapstone, M., & Cruchaga, C. (2024). Genome‐wide association of Tau imaging and plasma biomarkers in adults with Down Syndrome. Alzheimer’s & Dementia, 20(S2). Portico. https://doi.org/10.1002/alz.092615
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Hughes, J. W., Somani, S., Elias, P., Tooley, J., Rogers, A. J., Poterucha, T., Haggerty, C. M., Salerno, M., Ouyang, D., Ashley, E., Zou, J., & Perez, M. V. (2024). Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogram. European Heart Journal - Digital Health, 5(4), 427–434. https://doi.org/10.1093/ehjdh/ztae034
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Dogan, S., Barua, P. D., Baygin, M., Tuncer, T., Tan, R.-S., Ciaccio, E. J., Fujita, H., Devi, A., & Acharya, U. R. (2024). Lattice 123 pattern for automated Alzheimer’s detection using EEG signal. Cognitive Neurodynamics. https://doi.org/10.1007/s11571-024-10104-1
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Kim, Y., Wang, K., Lock, R. I., Nash, T. R., Fleischer, S., Wang, B. Z., Fine, B. M., & Vunjak-Novakovic, G. (2024). BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs. IEEE Open Journal of Engineering in Medicine and Biology, 5, 238–249. https://doi.org/10.1109/ojemb.2024.3377461
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Hughes, J. W., Tooley, J., Torres Soto, J., Ostropolets, A., Poterucha, T., Christensen, M. K., Yuan, N., Ehlert, B., Kaur, D., Kang, G., Rogers, A., Narayan, S., Elias, P., Ouyang, D., Ashley, E., Zou, J., & Perez, M. V. (2023). A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease. Npj Digital Medicine, 6(1). https://doi.org/10.1038/s41746-023-00916-6
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Finotti, E., Quesada, A., Ciaccio, E. J., Garan, H., Hornero, F., Alcaraz, R., & Rieta, J. J. (2022). Practical Considerations for the Application of Nonlinear Indices Characterizing the Atrial Substrate in Atrial Fibrillation. Entropy, 24(9), 1261. https://doi.org/10.3390/e24091261
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Chivers, S., Vasavan, T., Nandi, M., Hayes-Gill, B., Jayawardane, I., Simpson, J., Williamson, C., Fifer, W., & Lucchini, M. (2022). Measurement of the cardiac time intervals of the fetal ECG utilising a computerised algorithm: A retrospective observational study. JRSM Cardiovascular Disease, 11. https://doi.org/10.1177/20480040221096209
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