Page 130 - AIH-2-3
P. 130

Artificial Intelligence in Health                              Opportunities for AI-based arrhythmia screening



               ecg-analysis [Last accessed on 2025 Mar 18].    69.  Tettey-Engmann FA, Parupelli SK, Desai SS. A  review of
                                                                  biomedical devices: Classification, regulatory guidelines,
            63.  Vahanian A, Beyersdorf F, Praz F, et al. 2021 ESC/EACTS
               guidelines for the management of valvular heart disease. Eur   human factors, software as a medical device, and cybersecurity.
               Heart J. 2022;43(7):561-632.                       Biomed Mater Dev Biomed Mater Dev. 2024;2:316-341.
                                                                  doi: 10.1007/s44174-023-00113-9
               doi: 10.1093/eurheartj/ehab395
                                                               70.  Diagnosing  Arrhythmias;  Arrhythmia  Alliance.
            64.  Kwon JM, Kim KH, Akkus Z, Jeon KH, Park J, Oh BH.
               Artificial  intelligence  for  detecting  mitral  regurgitation   Available  from:  https://www.lhch.nhs.uk/media/.
               using electrocardiography. J Electrocardiol. 2020;59:151-157.  resources/64a7ecda3bd825.77246728.pdf [Last accessed on
                                                                  2025 Mar 18].
               doi: 10.1016/j.jelectrocard.2020.02.008
                                                               71.  Desai DS, Hajouli S. Arrhythmias. St. Petersburg, FL, USA:
            65.  Elias P, Poterucha TJ, Rajaram V,  et  al. Deep learning   StatPearls Publishing; 2025. Available from: https://www.
               electrocardiographic analysis for detection of left-sided   ncbi.nlm.nih.gov/books/NBK558923 [Last accessed on
               valvular heart disease.  J  Am Coll Cardiol. 2022;80(6):   2025 Mar 18].
               613-626.
                                                               72.  Classification of cardiac arrhythmias and conduction
               doi: 10.1016/j.jacc.2022.05.029                    disturbances. Am Heart J. 1979;98(2):263-267.
            66.  Splinter R, editor.  Handbook of Physics in Medicine and      doi: 10.1016/0002-8703(79)90230-8
               Biology. 1  ed. Baco Raton, FL: CRC Press; 2010.
                      st
                                                               73.  Antzelevitch C, Burashnikov A. Overview of basic
               doi: 10.1201/9781420075250                         mechanisms of cardiac arrhythmia. Card Electrophysiol Clin.
                                                                  2011;3(1):23-45.
            67.  How are Arrhythmias Treated? National Heart, Lung, and
               Blood Institute; 2011. Available from: https://www.nhlbi.nih.     doi: 10.1016/j.ccep.2010.10.012
               gov/health/arrhythmias/treatment [Last accessed on 2025   74.  Kiladze MR, Lyakhova UA, Lyakhov PA, Nagornov NN,
               Mar 18].
                                                                  Vahabi M. Multimodal neural network for recognition of
            68.  Saljic A, Heijman J, Dobrev D. Recent advances in   cardiac arrhythmias based on 12-load electrocardiogram
               antiarrhythmic drug therapy. Drugs. 2023;83(13):1147-1160.  signals. IEEE Access. 2023;11:133744-133754.
               doi: 10.1007/s40265-023-01923-3                    doi: 10.1109/ACCESS.2023.3335176









































            Volume 2 Issue 3 (2025)                        124                               doi: 10.36922/aih.8468
   125   126   127   128   129   130   131   132   133   134   135