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Number Cited by Other Article(s)
1
Fatimah B, Singhal A, Singh P. ECG arrhythmia detection in an inter-patient setting using Fourier decomposition and machine learning. Med Eng Phys 2024;124:104102. [PMID: 38418030 DOI: 10.1016/j.medengphy.2024.104102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 12/19/2023] [Accepted: 01/01/2024] [Indexed: 03/01/2024]
2
Yu K, Feng L, Chen Y, Wu M, Zhang Y, Zhu P, Chen W, Wu Q, Hao J. Accurate wavelet thresholding method for ECG signals. Comput Biol Med 2024;169:107835. [PMID: 38096762 DOI: 10.1016/j.compbiomed.2023.107835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/25/2023] [Accepted: 12/05/2023] [Indexed: 02/08/2024]
3
Gronthy UU, Biswas U, Tapu S, Samad MA, Nahid AA. A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022. Diagnostics (Basel) 2023;13:diagnostics13101732. [PMID: 37238216 DOI: 10.3390/diagnostics13101732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 04/28/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023]  Open
4
Liu Z, Chen Y, Zhang Y, Ran S, Cheng C, Yang G. Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning. Comput Biol Med 2023;153:106465. [PMID: 36610213 DOI: 10.1016/j.compbiomed.2022.106465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 12/05/2022] [Accepted: 12/19/2022] [Indexed: 12/29/2022]
5
Wang M, Rahardja S, Fränti P, Rahardja S. Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
6
Wu H, Patel KHK, Li X, Zhang B, Galazis C, Bajaj N, Sau A, Shi X, Sun L, Tao Y, Al-Qaysi H, Tarusan L, Yasmin N, Grewal N, Kapoor G, Waks JW, Kramer DB, Peters NS, Ng FS. A fully-automated paper ECG digitisation algorithm using deep learning. Sci Rep 2022;12:20963. [PMID: 36471089 PMCID: PMC9722713 DOI: 10.1038/s41598-022-25284-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]  Open
7
Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals. INT J MACH LEARN CYB 2022;14:1651-1668. [PMID: 36467277 PMCID: PMC9702788 DOI: 10.1007/s13042-022-01718-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 11/03/2022] [Indexed: 11/29/2022]
8
A Novel Deep-Learning-Based Framework for the Classification of Cardiac Arrhythmia. J Imaging 2022;8:jimaging8030070. [PMID: 35324625 PMCID: PMC8949672 DOI: 10.3390/jimaging8030070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/01/2022] [Accepted: 03/08/2022] [Indexed: 01/10/2023]  Open
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