315 related articles for article (PubMed ID: 35590859)
1. Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis.
Hossain MS; Chowdhury MEH; Reaz MBI; Ali SHM; Bakar AAA; Kiranyaz S; Khandakar A; Alhatou M; Habib R; Hossain MM
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590859
[TBL] [Abstract][Full Text] [Related]
2. Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-Heuristically Optimized Non-Local Means Filter.
Phadikar S; Sinha N; Ghosh R; Ghaderpour E
Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35458940
[TBL] [Abstract][Full Text] [Related]
3. An adaptive joint CCA-ICA method for ocular artifact removal and its application to emotion classification.
Gao X; Zhang S; Liu K; Tan Z; Zhao G; Han Y; Cheng Y; Li C; Li P; Tian Y; Li F
J Neurosci Methods; 2023 Apr; 390():109841. PubMed ID: 36948359
[TBL] [Abstract][Full Text] [Related]
4. Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal.
Roy V; Shukla S; Shukla PK; Rawat P
J Healthc Eng; 2017; 2017():9674712. PubMed ID: 29118966
[TBL] [Abstract][Full Text] [Related]
5. Hybrid wavelet and EMD/ICA approach for artifact suppression in pervasive EEG.
Bono V; Das S; Jamal W; Maharatna K
J Neurosci Methods; 2016 Jul; 267():89-107. PubMed ID: 27102040
[TBL] [Abstract][Full Text] [Related]
6. A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking.
Perpetuini D; Cardone D; Filippini C; Chiarelli AM; Merla A
Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372353
[TBL] [Abstract][Full Text] [Related]
7. Motion artifacts in functional near-infrared spectroscopy: a comparison of motion correction techniques applied to real cognitive data.
Brigadoi S; Ceccherini L; Cutini S; Scarpa F; Scatturin P; Selb J; Gagnon L; Boas DA; Cooper RJ
Neuroimage; 2014 Jan; 85 Pt 1(0 1):181-91. PubMed ID: 23639260
[TBL] [Abstract][Full Text] [Related]
8. A hybrid method for muscle artifact removal from EEG signals.
Chen Q; Li Y; Yuan X
J Neurosci Methods; 2021 Apr; 353():109104. PubMed ID: 33617916
[TBL] [Abstract][Full Text] [Related]
9. A kurtosis-based wavelet algorithm for motion artifact correction of fNIRS data.
Chiarelli AM; Maclin EL; Fabiani M; Gratton G
Neuroimage; 2015 May; 112():128-137. PubMed ID: 25747916
[TBL] [Abstract][Full Text] [Related]
10. Motion Artifact Correction of Multi-Measured Functional Near-Infrared Spectroscopy Signals Based on Signal Reconstruction Using an Artificial Neural Network.
Lee G; Jin SH; An J
Sensors (Basel); 2018 Sep; 18(9):. PubMed ID: 30189651
[TBL] [Abstract][Full Text] [Related]
11. Automatic detection and removal of muscle artifacts from scalp EEG recordings in patients with epilepsy.
Anastasiadou M; Christodoulakis M; Papathanasiou ES; Papacostas SS; Mitsis GD
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():1946-50. PubMed ID: 26736665
[TBL] [Abstract][Full Text] [Related]
12. Wavelet-based motion artifact removal for functional near-infrared spectroscopy.
Molavi B; Dumont GA
Physiol Meas; 2012 Feb; 33(2):259-70. PubMed ID: 22273765
[TBL] [Abstract][Full Text] [Related]
13. Unsupervised detection and removal of muscle artifacts from scalp EEG recordings using canonical correlation analysis, wavelets and random forests.
Anastasiadou MN; Christodoulakis M; Papathanasiou ES; Papacostas SS; Mitsis GD
Clin Neurophysiol; 2017 Sep; 128(9):1755-1769. PubMed ID: 28778057
[TBL] [Abstract][Full Text] [Related]
14. [Research on automatic removal of ocular artifacts from single channel electroencephalogram signals based on wavelet transform and ensemble empirical mode decomposition].
Zhang R; Liu J; Chen M; Zhang L; Hu Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Jun; 38(3):473-482. PubMed ID: 34180192
[TBL] [Abstract][Full Text] [Related]
15. The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification.
Zhang S; Zhu Z; Zhang B; Feng B; Yu T; Li Z
Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32842635
[TBL] [Abstract][Full Text] [Related]
16. Removal of Ocular and Muscular Artifacts From Multi-Channel EEG Using Improved Spatial-Frequency Filtering.
Shi W; Li Y; Cai N; Chen R; Cao W; Li J
IEEE J Biomed Health Inform; 2024 Jun; 28(6):3466-3477. PubMed ID: 38502613
[TBL] [Abstract][Full Text] [Related]
17. Wavelet based motion artifact removal for Functional Near Infrared Spectroscopy.
Molavi B; Dumont GA
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5-8. PubMed ID: 21096093
[TBL] [Abstract][Full Text] [Related]
18. Surrogate-Based Artifact Removal From Single-Channel EEG.
Chavez M; Grosselin F; Bussalb A; De Vico Fallani F; Navarro-Sune X
IEEE Trans Neural Syst Rehabil Eng; 2018 Mar; 26(3):540-550. PubMed ID: 29522398
[TBL] [Abstract][Full Text] [Related]
19. SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals.
Juyal R; Muthusamy H; Kumar N
Med Biol Eng Comput; 2022 Dec; 60(12):3567-3583. PubMed ID: 36245020
[TBL] [Abstract][Full Text] [Related]
20. The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal technique.
Sweeney KT; McLoone SF; Ward TE
IEEE Trans Biomed Eng; 2013 Jan; 60(1):97-105. PubMed ID: 23086501
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
