Page 412 - Kaleidoscope Academic Conference Proceedings 2024

2024 ITU Kaleidoscope Academic Conference

received: September 5, 2023, / Revised: October 14, [22] ShradhaNaik; SaswatiDebnath; Vijin Justin,“ A
2023, / Accepted: October 18, 2023, / Published: Review of Arrhythmia Classification with Artificial
October 20 2023. Intelligence Techniques: Deep vs Machine Learning ",
Published in: 2021 2nd International Conference for
[15] Shaan Khurshid MD, MPH a b c, " Clinical Emerging Technology (INCET), 21-23 May 2021,
perspectives on the adoption of the artificial June 22 2021 DOI:
intelligence-enabled electrocardiogram", Journal of 10.1109/INCET51464.2021.9456394.
Electrocardiology, Volume 81, November–December
2023, Pages 142- [23] Panteleimon Pantelidis1,2^, Maria Bampa1^,
145https://doi.org/10.1016/j.jelectrocard.2023.08.014, Evangelos Oikonomou2^, Panagiotis Papapetrou1
"Machine learning models for automated interpretation
[16] Yaqoob Ansari, OmarMouradOmarMourad, of 12-lead electrocardiographic signals: a narrative
Khalid QaraqeKhalidQaraqe, review of techniques, challenges, achievements and
ErchinSerpedinErchinSerpedin, " Deep learning for clinical relevance", Received: November 10 2022;
ECG Arrhythmia detection and classification: an Accepted: May 8 2023; Published online: May 30
overview of the progress for the period 2017–2023 ", 2023. Vol 6 (May 30, 2023) doi: 10.21037/jmai-22-94.
SYSTEMATIC REVIEW article Front. Physiol.,
September 15 2023 Sec. Computational Physiology [24] FajrIbrahem, Alarsan Mamoon Younes, "
and Medicine Volume 14 - 2023 | Analysis and classification of heart diseases using
https://doi.org/10.3389/fphys.2023.1246746 heartbeat features and machine learning algorithms",
Journal of Big Data volume 6, Article number: 81
1
[17] MdMoklesur Rahman, Massimo Walter (2019), Published: August 31 2019, Journal of Big
2,3
1,*
Rivolta, Fabio Badilini, and Roberto Sassi 1, " A Data volume 6, Article number: 81 (2019).
Systematic Survey of Data Augmentation of ECG
Signals for A.I. Applications", Sensors (Basel). 2023 [25] JOHN IRUNGU TIMOTHY OLADUNNI
Jun; 23(11): 5237. Published online 2023 May 31. doi: ANDREW C. GRIZZLE3 MAX DENIS (Senior
10.3390/s23115237 Member, IEEE), MARZIEH SAVADKOOHI AND
ESTHER OSOSANYA4, “ML-ECG-COVID: A
[18] Yehualashet MegersaAyano, Frie helm Machine Learning-Electrocardiogram Signal
Schwenker, Bisrat DerebssaDufera, Taye Girma Processing Technique for COVID-19 Predictive
Debelee, " Interpretable Machine Learning Techniques Modeling “ Received October 11 2023, accepted
in ECG-Based Heart Disease Classification: A November 12 2023, date of publication November 21
Systematic Review", Diagnostics 2023, 13(1), 111; 2023, date of current version December 8 2023. Digital
https://doi.org/10.3390/diagnostics13010111 Object Identifier 10.1109/ACCESS.2023.3335384.
Submission received: December 5, 2022, / Revised:
December 22 2022 / Accepted: December 23 2022 / [26] Shi Su, Zhihong Zhu, Shu Wan, Fangqing Sheng,
Published: December 29 2022. Tianyi Xion Tiany iXionScilit Shanshan Shen, Yu Hou
1, Cuihong Liu 1, Yijin Li 1, Xiaolin Sun 1 and Jie
[19] AnupreetKaur Singh & Sridhar Krishnan “ ECG Huang 1, " An ECG Signal Acquisition and Analysis
signal feature extraction trends in methods and System Based on Machine Learning with Model
applications", Published: March 8 2023, BioMedical Fusion ", Submission received: July 19 2023 /
Engineering OnLine volume 22, Article number: 22 Revised: August 24, 2023,/ Accepted: August 29 2023
(2023). / Published: September 3 2023. Sensors 2023, 23(17),
7643; https://doi.org/10.3390/s23177643
[20] Zahra Ebrahimi a, Mohammad Loni b,
MasoudDaneshtalab b, ArashGharehbaghi b, " A [27] Hanna VitaliyivnaDenysyuk a, RuiJoão Pinto b,
review on deep learning methods for ECG arrhythmia Pedro Miguel Silva b, Rui Pedro Duarte b, Francisco
classification", Expert Systems with Applications: X Alexandre Marinho b, LuísPimenta b, António Jorge
Volume 7, September 2020, 100033. Gouveia b, Norberto Jorge Gonçalves b, Paulo Jorge
https://doi.org/10.1016/j.eswax.2020.100033. Coelho c d, EftimZdravevski e, PetreLameski e,
ValderiLeithardt f g, Nuno M. Garcia a, Ivan Miguel
[21] Giovanni Baj, IlariaGandin, ArjunaScagnetto, Pires a, “Algorithms for automated diagnosis of
Luca Bortolussi, Chiara Cappelletto, Andrea Di cardiovascular diseases based on ECG data: A
Lenarda& Giulia Barbati, " Comparison of comprehensive systematic review “, Volume 9, Issue 2,
discrimination and calibration performance of ECG- February 2023, e13601,
based machine learning models for prediction of new- https://doi.org/10.1016/j.heliyon.2023.e13601.
onset atrial fibrillation", BMC Medical Research
Methodology volume 23, Article number: 169 (2023),
Published: July 22 2023.

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