245 related articles for article (PubMed ID: 34463593)
1. ECG denoising and feature extraction techniques - a review.
Mir HY; Singh O
J Med Eng Technol; 2021 Nov; 45(8):672-684. PubMed ID: 34463593
[TBL] [Abstract][Full Text] [Related]
2. ECG signal denoising via empirical wavelet transform.
Singh O; Sunkaria RK
Australas Phys Eng Sci Med; 2017 Mar; 40(1):219-229. PubMed ID: 28035635
[TBL] [Abstract][Full Text] [Related]
3. Comparative study of ECG signal denoising by wavelet thresholding in empirical and variational mode decomposition domains.
Lahmiri S
Healthc Technol Lett; 2014 Sep; 1(3):104-9. PubMed ID: 26609387
[TBL] [Abstract][Full Text] [Related]
4. Stationary wavelet transform based ECG signal denoising method.
Kumar A; Tomar H; Mehla VK; Komaragiri R; Kumar M
ISA Trans; 2021 Aug; 114():251-262. PubMed ID: 33419569
[TBL] [Abstract][Full Text] [Related]
5. Variational mode decomposition based ECG denoising using non-local means and wavelet domain filtering.
Singh P; Pradhan G
Australas Phys Eng Sci Med; 2018 Dec; 41(4):891-904. PubMed ID: 30191539
[TBL] [Abstract][Full Text] [Related]
6. Power-line interference and baseline wander elimination in ECG using VMD and EWT.
Mir HY; Singh O
Comput Methods Biomech Biomed Engin; 2023 Oct; ():1-20. PubMed ID: 37886833
[TBL] [Abstract][Full Text] [Related]
7. Powerline interference reduction in ECG signals using empirical wavelet transform and adaptive filtering.
Singh O; Sunkaria RK
J Med Eng Technol; 2015 Jan; 39(1):60-8. PubMed ID: 25412942
[TBL] [Abstract][Full Text] [Related]
8. Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks.
Zeng W; Yuan J; Yuan C; Wang Q; Liu F; Wang Y
Artif Intell Med; 2020 Jun; 106():101848. PubMed ID: 32593387
[TBL] [Abstract][Full Text] [Related]
9. Adaptive Motion Artifact Reduction Based on Empirical Wavelet Transform and Wavelet Thresholding for the Non-Contact ECG Monitoring Systems.
Xu X; Liang Y; He P; Yang J
Sensors (Basel); 2019 Jul; 19(13):. PubMed ID: 31266226
[TBL] [Abstract][Full Text] [Related]
10. ECG signal denoising and baseline wander correction based on the empirical mode decomposition.
Blanco-Velasco M; Weng B; Barner KE
Comput Biol Med; 2008 Jan; 38(1):1-13. PubMed ID: 17669389
[TBL] [Abstract][Full Text] [Related]
11. A new modified wavelet-based ECG denoising.
Wang Z; Zhu J; Yan T; Yang L
Comput Assist Surg (Abingdon); 2019 Oct; 24(sup1):174-183. PubMed ID: 30689434
[No Abstract] [Full Text] [Related]
12. ECG De-noising: A comparison between EEMD-BLMS and DWT-NN algorithms.
Kærgaard K; Jensen SH; Puthusserypady S
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():3811-4. PubMed ID: 26737124
[TBL] [Abstract][Full Text] [Related]
13. Wavelet denoising as a post-processing enhancement method for non-invasive foetal electrocardiography.
Baldazzi G; Sulas E; Urru M; Tumbarello R; Raffo L; Pani D
Comput Methods Programs Biomed; 2020 Oct; 195():105558. PubMed ID: 32505973
[TBL] [Abstract][Full Text] [Related]
14. Fractal and EMD based removal of baseline wander and powerline interference from ECG signals.
Agrawal S; Gupta A
Comput Biol Med; 2013 Nov; 43(11):1889-99. PubMed ID: 24209934
[TBL] [Abstract][Full Text] [Related]
15. A stacked contractive denoising auto-encoder for ECG signal denoising.
Xiong P; Wang H; Liu M; Lin F; Hou Z; Liu X
Physiol Meas; 2016 Dec; 37(12):2214-2230. PubMed ID: 27869101
[TBL] [Abstract][Full Text] [Related]
16. Electrocardiogram signal denoising based on a new improved wavelet thresholding.
Han G; Xu Z
Rev Sci Instrum; 2016 Aug; 87(8):084303. PubMed ID: 27587134
[TBL] [Abstract][Full Text] [Related]
17. Accurate wavelet thresholding method for ECG signals.
Yu K; Feng L; Chen Y; Wu M; Zhang Y; Zhu P; Chen W; Wu Q; Hao J
Comput Biol Med; 2024 Feb; 169():107835. PubMed ID: 38096762
[TBL] [Abstract][Full Text] [Related]
18. Application of the dual-tree complex wavelet transform in biomedical signal denoising.
Wang F; Ji Z
Biomed Mater Eng; 2014; 24(1):109-15. PubMed ID: 24211889
[TBL] [Abstract][Full Text] [Related]
19. Research on Dynamic Measurement Method of Flow Rate in Tea Processing.
Zhao Z; Liu G; Wang Y; Peng J; Qiao X; Zhong J
Sensors (Basel); 2022 Jun; 22(11):. PubMed ID: 35684914
[TBL] [Abstract][Full Text] [Related]
20. A robust ECG denoising technique using variable frequency complex demodulation.
Hossain MB; Bashar SK; Lazaro J; Reljin N; Noh Y; Chon KH
Comput Methods Programs Biomed; 2021 Mar; 200():105856. PubMed ID: 33309076
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
