214 related articles for article (PubMed ID: 29060518)
1. Significance of modified empirical mode decomposition for ECG denoising.
Singh P; Shahnawazuddin S; Pradhan G
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2956-2959. PubMed ID: 29060518
[TBL] [Abstract][Full Text] [Related]
2. Noise reduction and QRS detection in ECG signal using EEMD with modified sigmoid thresholding.
Mohguen O
Biomed Tech (Berl); 2024 Feb; 69(1):61-78. PubMed ID: 37665599
[TBL] [Abstract][Full Text] [Related]
3. Riemann Liouvelle Fractional Integral Based Empirical Mode Decomposition for ECG Denoising.
Jain S; Bajaj V; Kumar A; Jain S; Bajaj V; Kumar A
IEEE J Biomed Health Inform; 2018 Jul; 22(4):1133-1139. PubMed ID: 28922131
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Adaptive Fourier decomposition based ECG denoising.
Wang Z; Wan F; Wong CM; Zhang L
Comput Biol Med; 2016 Oct; 77():195-205. PubMed ID: 27568983
[TBL] [Abstract][Full Text] [Related]
6. An integrated EMD adaptive threshold denoising method for reduction of noise in ECG.
Zhang M; Wei G
PLoS One; 2020; 15(7):e0235330. PubMed ID: 32667934
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Electrocardiogram Signal Denoising Using Extreme-Point Symmetric Mode Decomposition and Nonlocal Means.
Tian X; Li Y; Zhou H; Li X; Chen L; Zhang X
Sensors (Basel); 2016 Sep; 16(10):. PubMed ID: 27681729
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. A singular spectrum analysis-based model-free electrocardiogram denoising technique.
Mukhopadhyay SK; Krishnan S
Comput Methods Programs Biomed; 2020 May; 188():105304. PubMed ID: 31927178
[TBL] [Abstract][Full Text] [Related]
12. Genetic particle filter improved fuzzy-AEEMD for ECG signal de-noising.
Kapoor R; Birok R
Comput Methods Biomech Biomed Engin; 2021 Oct; 24(13):1426-1436. PubMed ID: 33667141
[TBL] [Abstract][Full Text] [Related]
13. Noise-assisted data processing with empirical mode decomposition in biomedical signals.
Karagiannis A; Constantinou P
IEEE Trans Inf Technol Biomed; 2011 Jan; 15(1):11-8. PubMed ID: 21075730
[TBL] [Abstract][Full Text] [Related]
14. Alexander fractional differential window filter for ECG denoising.
Verma AK; Saini I; Saini BS
Australas Phys Eng Sci Med; 2018 Jun; 41(2):519-539. PubMed ID: 29687436
[TBL] [Abstract][Full Text] [Related]
15. ECG Noise Cancellation Based on Grey Spectral Noise Estimation.
Liu SH; Hsieh CH; Chen W; Tan TH
Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30781412
[TBL] [Abstract][Full Text] [Related]
16. Using the Redundant Convolutional Encoder-Decoder to Denoise QRS Complexes in ECG Signals Recorded with an Armband Wearable Device.
Reljin N; Lazaro J; Hossain MB; Noh YS; Cho CH; Chon KH
Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824420
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Multimode Decomposition and Wavelet Threshold Denoising of Mold Level Based on Mutual Information Entropy.
Lei Z; Su W; Hu Q
Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266917
[TBL] [Abstract][Full Text] [Related]
19. Introducing a combined approach of empirical mode decomposition and PCA methods for maternal and fetal ECG signal processing.
Ghobadi Azbari P; Mohaqeqi S; Ghanbarzadeh Gashti N; Mikaili M
J Matern Fetal Neonatal Med; 2016 Oct; 29(19):3104-9. PubMed ID: 26522983
[TBL] [Abstract][Full Text] [Related]
20. Automatic selection of IMFs to denoise the sEMG signals using EMD.
Koppolu PK; Chemmangat K
J Electromyogr Kinesiol; 2023 Dec; 73():102834. PubMed ID: 37922679
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]