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Volumn 2012, Issue 1, 2012, Pages

Removal of muscle artifact from EEG data: Comparison between stochastic (ICA and CCA) and deterministic (EMD and wavelet-based) approaches

Author keywords

Artifact removal; Blind source separation; CCA; EEG; EMD; Epilepsy; ICA; Muscle activity; Wavelet

Indexed keywords

ARTIFACT REMOVAL; CCA; EMD; EPILEPSY; MUSCLE ACTIVITIES; WAVELET;

EID: 84872957608     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1186/1687-6180-2012-127     Document Type: Article
Times cited : (167)

References (59)
  • 1
    • 77957958257 scopus 로고    scopus 로고
    • Electromyogenic artifacts and electroencephalographic inferences revisited
    • B. W. McMenamin, A. J. Shackman, L. L. Greischar, R. J. Davidson, Electromyogenic artifacts and electroencephalographic inferences revisited. NeuroImage 54(1), 4-9 (2010)
    • (2010) NeuroImage , vol.54 , Issue.1 , pp. 4-9
    • McMenamin, B.W.1    Shackman, A.J.2    Greischar, L.L.3    Davidson, R.J.4
  • 2
    • 56449125597 scopus 로고    scopus 로고
    • On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics
    • M. Congedo, C. Gouy-Pailler, C. Jutten, On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics. Clin. Neurophysiol. 119(12), 2677-2686 (2008)
    • (2008) Clin. Neurophysiol , vol.119 , Issue.12 , pp. 2677-2686
    • Congedo, M.1    Gouy-Pailler, C.2    Jutten, C.3
  • 4
    • 0036550546 scopus 로고    scopus 로고
    • Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis
    • DOI 10.1007/s00422-001-0298-6
    • S. Vorobyov, A. Cichocki, Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis. Biol. Cybern. 86(4), 293-303 (2002) (Pubitemid 135690265)
    • (2002) Biological Cybernetics , vol.86 , Issue.4 , pp. 293-303
    • Vorobyov, S.1    Cichocki, A.2
  • 7
    • 33644886576 scopus 로고    scopus 로고
    • A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification
    • P. LeVan, E. Urrestarazu, J. Gotman, A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification. Clin. Neurophysiol. 117(4), 912-927 (2006)
    • (2006) Clin. Neurophysiol , vol.117 , Issue.4 , pp. 912-927
    • Le Van, P.1    Urrestarazu, E.2    Gotman, J.3
  • 8
    • 34249892811 scopus 로고    scopus 로고
    • Removal of EEG noise and artifact using blind source separation
    • DOI 10.1097/WNP.0b013e3180556926, PII 0000469120070600000002
    • S. P. Fitzgibbon, D. M. Powers, K. J. Pope, C. R. Clark, Removal of EEG noise and artifact using blind source separation. J. Clin. Neurophysiol. 24(3), 232-243 (2007) (Pubitemid 46871870)
    • (2007) Journal of Clinical Neurophysiology , vol.24 , Issue.3 , pp. 232-243
    • Fitzgibbon, S.P.1    Powers, D.M.W.2    Pope, K.J.3    Clark, C.R.4
  • 9
    • 33846629898 scopus 로고    scopus 로고
    • Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis
    • DOI 10.1016/j.neuroimage.2006.11.004, PII S1053811906011098
    • A. Delorme, T. Sejnowski, S. Makeig, Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage 34(4), 1443-1449 (2007) (Pubitemid 46187079)
    • (2007) NeuroImage , vol.34 , Issue.4 , pp. 1443-1449
    • Delorme, A.1    Sejnowski, T.2    Makeig, S.3
  • 10
  • 11
    • 39149114384 scopus 로고    scopus 로고
    • Muscle artifact removal from human sleep EEG by using independent component analysis
    • M. Crespo-Garcia, M. Atienza, J. L. Cantero, Muscle artifact removal from human sleep EEG by using independent component analysis. Ann. Biomed. Eng. 36(3), 467-475 (2008)
    • (2008) Ann. Biomed. Eng. , vol.36 , Issue.3 , pp. 467-475
    • Crespo-Garcia, M.1    Atienza, M.2    Cantero, J.L.3
  • 12
    • 67349258585 scopus 로고    scopus 로고
    • Semi-automatic identification of independent components representing EEG artifact
    • F. C. Viola, J. Thorne, B. Edmonds, T. Schneider, T. Eichele, S. Debener, Semi-automatic identification of independent components representing EEG artifact. Clin. Neurophysiol. 120(5), 868-877 (2009)
    • (2009) Clin. Neurophysiol , vol.120 , Issue.5 , pp. 868-877
    • Viola, F.C.1    Thorne, J.2    Edmonds, B.3    Schneider, T.4    Eichele, T.5    Debener, S.6
  • 15
    • 34248578920 scopus 로고    scopus 로고
    • Improving the interpretation of ictal scalp EEG: BSS-CCA algorithm for muscle artifact removal
    • DOI 10.1111/j.1528-1167.2007.01031.x
    • A. Vergult, W. De Clercq, A. Palmini, B. Vanrumste, P. Dupont, S. Van Huffel, W. Van Paesschen, Improving the interpretation of ictal scalp EEG: BSS-CCA algorithm for muscle artifact removal. Epilepsia 48(5), 950-958 (2007) (Pubitemid 46763411)
    • (2007) Epilepsia , vol.48 , Issue.5 , pp. 950-958
    • Vergult, A.1    De Clercq, W.2    Palmini, A.3    Vanrumste, B.4    Dupont, P.5    Van Huffel, S.6    Van Paesschen, W.7
  • 16
    • 77749243297 scopus 로고    scopus 로고
    • Online removal of muscle artifact from electroencephalogram signals based on canonical correlation analysis
    • J. Gao, C. Zheng, P. Wang, Online removal of muscle artifact from electroencephalogram signals based on canonical correlation analysis. Clin. EEG Neurosci. 41(1), 53-59 (2010)
    • (2010) Clin. EEG Neurosci , vol.41 , Issue.1 , pp. 53-59
    • Gao, J.1    Zheng, C.2    Wang, P.3
  • 17
    • 45549091471 scopus 로고    scopus 로고
    • A multi-level wavelet approach for automatic detection of epileptic spikes in the electroencephalogram
    • K. P. Indiradevi, E. Elias, P. S. Sathidevi, S. Dinesh Nayak, K. Radhakrishnan, A multi-level wavelet approach for automatic detection of epileptic spikes in the electroencephalogram. Comput. Biol. Med. 38(7), 805-816 (2008)
    • (2008) Comput. Biol. Med. , vol.38 , Issue.7 , pp. 805-816
    • Indiradevi, K.P.1    Elias, E.2    Sathidevi, P.S.3    Dinesh Nayak, S.4    Radhakrishnan, K.5
  • 18
    • 33846794306 scopus 로고    scopus 로고
    • Single-trial evoked potential estimation: Comparison between independent component analysis and wavelet denoising
    • DOI 10.1016/j.clinph.2006.10.024, PII S1388245706015057
    • D. Iyer, G. Zouridakis, Single-trial evoked potential estimation: comparison between independent component analysis and wavelet denoising. Clin. Neurophysiol. 118(3), 495-504 (2007) (Pubitemid 46205414)
    • (2007) Clinical Neurophysiology , vol.118 , Issue.3 , pp. 495-504
    • Iyer, D.1    Zouridakis, G.2
  • 19
    • 33644673645 scopus 로고    scopus 로고
    • Multivariate denoising using wavelets and principal component analysis
    • DOI 10.1016/j.csda.2004.12.010, PII S0167947304004025, Statistical Signal Extracting and Filtering
    • M. Aminghafari, N. Cheze, J.-M. Poggi, Multivariate denoising using wavelets and principal component analysis. Comput. Stat. Data Anal. 50(9), 2381-2398 (2006) (Pubitemid 43328678)
    • (2006) Computational Statistics and Data Analysis , vol.50 , Issue.9 , pp. 2381-2398
    • Aminghafari, M.1    Cheze, N.2    Poggi, J.-M.3
  • 21
    • 33846040301 scopus 로고    scopus 로고
    • Removal of ocular artifacts from EEG using adaptive thresholding of wavelet coefficients
    • V. Krishnaveni, S. Jayaraman, L. Anitha, K. Ramadoss, Removal of ocular artifacts from EEG using adaptive thresholding of wavelet coefficients. J. Neural Eng. 3(4), 338-346 (2006)
    • (2006) J. Neural Eng. , vol.3 , Issue.4 , pp. 338-346
    • Krishnaveni, V.1    Jayaraman, S.2    Anitha, L.3    Ramadoss, K.4
  • 22
    • 75749108283 scopus 로고    scopus 로고
    • Denoising nonlinear time series by adaptive filtering and wavelet shrinkage: A comparison
    • J. Gao, H. Sultan, J. Hu, W. W. Tung, Denoising nonlinear time series by adaptive filtering and wavelet shrinkage: a comparison. IEEE Signal Process. Lett. 17(3), 237-240 (2010)
    • (2010) IEEE Signal Process. Lett. , vol.17 , Issue.3 , pp. 237-240
    • Gao, J.1    Sultan, H.2    Hu, J.3    Tung, W.W.4
  • 23
    • 77955908188 scopus 로고    scopus 로고
    • Source separation from single-channel recordings by combining empiricalmode decomposition and independent component analysis
    • B. Mijovic, M. De Vos, I. Gligorijevic, J. Taelman, S. Van Huffel, Source separation from single-channel recordings by combining empiricalmode decomposition and independent component analysis. IEEE Trans. Biomed. Eng. 57(9), 2188-2196 (2010)
    • (2010) IEEE Trans. Biomed. Eng. , vol.57 , Issue.9 , pp. 2188-2196
    • Mijovic, B.1    De Vos, M.2    Gligorijevic, I.3    Taelman, J.4    Van Huffel, S.5
  • 24
    • 0023158840 scopus 로고
    • Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem
    • J. Sarvas, Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. Phys. Med. Biol. 32(1), 11-22 (1987) (Pubitemid 17039071)
    • (1987) Physics in Medicine and Biology , vol.32 , Issue.1 , pp. 11-22
    • Sarvas, J.1
  • 25
    • 0001183650 scopus 로고
    • Space or time adaptative signal processing by neural networks models
    • on Neural Networks for Computing, Snowbird
    • J. Herault, C. Jutten, Space or time adaptative signal processing by neural networks models, in Proceedings of the International Conference, vol. 151 (on Neural Networks for Computing, Snowbird, 1986), pp. 206-211
    • (1986) Proceedings of the International Conference , vol.151 , pp. 206-211
    • Herault, J.1    Jutten, C.2
  • 26
    • 0028416938 scopus 로고
    • Independent component analysis: A new concept?
    • P. Comon, Independent component analysis: a new concept? Signal Process. 36, 287-314 (1994)
    • (1994) Signal Process , vol.36 , pp. 287-314
    • Comon, P.1
  • 28
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling, Relations between two sets of variates. Biometrika 28, 321-377 (1936)
    • (1936) Biometrika , vol.28 , pp. 321-377
    • Hotelling, H.1
  • 29
    • 0036331381 scopus 로고    scopus 로고
    • Exploratory fMRI analysis by autocorrelation maximization
    • DOI 10.1006/nimg.2002.1067
    • O. Friman, M. Borga, P. Lundberg, H. Knutsson, Exploratory fMRI analysis by autocorrelation maximization. NeuroImage 16(2), 454-464 (2002) (Pubitemid 34852461)
    • (2002) NeuroImage , vol.16 , Issue.2 , pp. 454-464
    • Friman, O.1    Borga, M.2    Lundberg, P.3    Knutsson, H.4
  • 31
    • 0033983754 scopus 로고    scopus 로고
    • Artifact reduction in electrogastrogram based on empirical mode decomposition method
    • H. Liang, Z. Lin, R. W. McCallum, Artifact reduction in electrogastrogram based on empirical mode decomposition method. Med. Biol. Eng. Comput. 38(1), 35-41 (2000) (Pubitemid 30099307)
    • (2000) Medical and Biological Engineering and Computing , vol.38 , Issue.1 , pp. 35-41
    • Liang, H.1    Lin, Z.2    McCallum, R.W.3
  • 32
    • 33646819710 scopus 로고    scopus 로고
    • Empirical mode decomposition, fractional Gaussian noise and Hurst exponent estimation
    • Speech, and Signal Processing, Pennsylvania Convention Center, Philadelphia
    • G. Rilling, P. Flandrin, P. Goncalves, Empirical mode decomposition, fractional Gaussian noise and Hurst exponent estimation, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 4 (Pennsylvania Convention Center, Philadelphia, 2005), pp. 489-492
    • (2005) Proceedings of the IEEE International Conference on Acoustics , vol.4 , pp. 489-492
    • Rilling, G.1    Flandrin, P.2    Goncalves, P.3
  • 33
    • 33747143714 scopus 로고    scopus 로고
    • Frequency and voice: Perspectives in the time domain
    • DOI 10.1016/j.jvoice.2005.12.009, PII S0892199705001694
    • R. M. Roark, Frequency and voice: perspectives in the time domain. J. Voice 20(3), 325-354 (2006) (Pubitemid 44223961)
    • (2006) Journal of Voice , vol.20 , Issue.3 , pp. 325-354
    • Roark, R.M.1
  • 34
    • 17744387148 scopus 로고    scopus 로고
    • Texture analysis based on local analysis of the Bidimensional Empirical Mode Decomposition
    • DOI 10.1007/s00138-004-0170-5
    • J. C. Nunes, S. Guyot, E. Delechelle, Texture analysis based on local analysis of the bidimensional empirical mode decomposition. J. Mach. Vis. Appl. 16(3), 177-188 (2005) (Pubitemid 40573960)
    • (2005) Machine Vision and Applications , vol.16 , Issue.3 , pp. 177-188
    • Nunes, J.C.1    Guyot, S.2    Delechelle, E.3
  • 35
    • 79951635816 scopus 로고    scopus 로고
    • Turning tangent empirical mode decomposition: A framework for mono-and multivariate signals
    • J. Fleureau, J. C. Nunes, A. Kachenoura, L. Albera, L. Senhadji, Turning tangent empirical mode decomposition: a framework for mono-and multivariate signals. IEEE Trans. Signal Process. 59(3), 1309-1316 (2011)
    • (2011) IEEE Trans. Signal Process , vol.59 , Issue.3 , pp. 1309-1316
    • Fleureau, J.1    Nunes, J.C.2    Kachenoura, A.3    Albera, L.4    Senhadji, L.5
  • 36
    • 51649134589 scopus 로고
    • Wavelet analysis of EEG for three-dimensional mapping of epileptic events
    • L. Senhadji, J. L. Dillenseger, F. Wendling, C. Rocha, A. Kinie, Wavelet analysis of EEG for three-dimensional mapping of epileptic events. Ann. Biomed. Eng. 23(5), 543-552 (1995)
    • (1995) Ann. Biomed. Eng. , vol.23 , Issue.5 , pp. 543-552
    • Senhadji, L.1    Dillenseger, J.L.2    Wendling, F.3    Rocha, C.4    Kinie, A.5
  • 38
    • 0036065825 scopus 로고    scopus 로고
    • Epileptic transient detection: Wavelets and time-frequency approaches
    • DOI 10.1016/S0987-7053(02)00304-0
    • L. Senhadji, F. Wendling, Epileptic transient detection: wavelets and time-frequency approaches. Clin. Neurophysiol. 32(3), 175-192 (2002) (Pubitemid 34790483)
    • (2002) Neurophysiologie Clinique , vol.32 , Issue.3 , pp. 175-192
    • Senhadji, L.1    Wendling, F.2
  • 39
    • 33846300707 scopus 로고    scopus 로고
    • Interaction dynamics of neuronal oscillations analysed using wavelet transforms
    • DOI 10.1016/j.jneumeth.2006.08.006, PII S0165027006003979
    • X. Li, X. Yao, J. Fox, J. G. Jefferys, Interaction dynamics of neuronal oscillations analysed using wavelet transforms. J. Neurosci. Methods 160(1), 178-85 (2007) (Pubitemid 46123560)
    • (2007) Journal of Neuroscience Methods , vol.160 , Issue.1 , pp. 178-185
    • Li, X.1    Yao, X.2    Fox, J.3    Jefferys, J.G.4
  • 40
    • 0028596897 scopus 로고
    • Wavelets-a new tool in sleep biosignal analysis
    • M. Jobert, C. Tismer, E. Poiseau, H. Schulz, Wavelets-a new tool in sleep biosignal analysis. J. Sleep Res. 3(4), 223-232 (1994)
    • (1994) J. Sleep Res. , vol.3 , Issue.4 , pp. 223-232
    • Jobert, M.1    Tismer, C.2    Poiseau, E.3    Schulz, H.4
  • 41
    • 0033338289 scopus 로고    scopus 로고
    • Image compression via joint statistical characterization in the wavelet domain
    • DOI 10.1109/83.806616
    • R. W. Buccigrossi, E. P. Simoncelli, Image compression via joint statistical characterization in the wavelet domain. IEEE Trans. Image Process. 8(12), 1688-1701 (1999) (Pubitemid 30527916)
    • (1999) IEEE Transactions on Image Processing , vol.8 , Issue.12 , pp. 1688-1701
    • Buccigrossi, R.W.1    Simoncelli, E.P.2
  • 42
    • 77952741163 scopus 로고    scopus 로고
    • Astronomical data analysis and sparsity: From wavelets to compressed sensing
    • J. L. Starck, J. Bobin, Astronomical data analysis and sparsity: from wavelets to compressed sensing. Proc. IEEE 98(6), 1021-1030 (2010)
    • (2010) Proc. IEEE , vol.98 , Issue.6 , pp. 1021-1030
    • Starck, J.L.1    Bobin, J.2
  • 43
    • 0026187946 scopus 로고
    • Zero-crossings of a wavelet transform
    • DOI 10.1109/18.86995
    • S. Mallat, Zero-crossings of a wavelet transform. IEEE Trans. Inf. Theory 37(4), 1019-1033 (1991) (Pubitemid 21674993)
    • (1991) IEEE Transactions on Information Theory , vol.37 , Issue.4 , pp. 1019-1033
    • Mallat Stephane1
  • 44
    • 77954786824 scopus 로고    scopus 로고
    • Arrhythmia ECG noise reduction by ensemble empirical mode decomposition
    • K. M. Chang, Arrhythmia ECG noise reduction by ensemble empirical mode decomposition. Sensors 10, 6063-6080 (2010)
    • (2010) Sensors , vol.10 , pp. 6063-6080
    • Chang, K.M.1
  • 45
    • 20444484584 scopus 로고    scopus 로고
    • An improved Hilbert-Huang transform and its application in vibration signal analysis
    • DOI 10.1016/j.jsv.2004.10.005, PII S0022460X04007928
    • Z. K. Peng, P. W. Tse, F. L. Chu, An improved Hilbert-Huang transform and its application in vibration signal analysis. J. Sound Vib., 187-205 (2005) (Pubitemid 40822806)
    • (2005) Journal of Sound and Vibration , vol.286 , Issue.1-2 , pp. 187-205
    • Peng, Z.K.1    Tse, P.W.2    Chu, F.L.3
  • 47
    • 63449122839 scopus 로고    scopus 로고
    • Development of EMD-based denoising methods inspired by wavelet thresholding
    • Y. Kopsinis, S. McLaughlin, Development of EMD-based denoising methods inspired by wavelet thresholding. IEEE Trans. Signal Process., 1351-1362 (2009)
    • (2009) IEEE Trans. Signal Process. , pp. 1351-1362
    • Kopsinis, Y.1    McLaughlin, S.2
  • 49
    • 0029307534 scopus 로고
    • De-noising by soft-thresholding
    • D. L. Donoho, De-noising by soft-thresholding. IEEE Trans. Inf. Theory 41(3), 613-627 (1995)
    • (1995) IEEE Trans. Inf. Theory , vol.41 , Issue.3 , pp. 613-627
    • Donoho, D.L.1
  • 52
    • 33847698559 scopus 로고    scopus 로고
    • A physiologically plausible spatio-temporal model for EEG signals recorded with intracerebral electrodes in human partial epilepsy
    • DOI 10.1109/TBME.2006.890489, 6
    • D. Cosandier-Rimele, J. M. Badier, P. Chauvel, F. Wendling, A physiologically plausible spatio-temporal model for EEG signals recorded with intracerebral electrodes in human partial epilepsy. IEEE Trans. Biomed. Eng. 54(3), 380-388 (2007) (Pubitemid 46371226)
    • (2007) IEEE Transactions on Biomedical Engineering , vol.54 , Issue.3 , pp. 380-388
    • Cosandier-Rimele, D.1    Badier, J.-M.2    Chauvel, P.3    Wendling, F.4
  • 53
    • 45849150356 scopus 로고    scopus 로고
    • The neuronal sources of EEG: Modeling of simultaneous scalp and intracerebral recordings in epilepsy
    • D. Cosandier-Rimele, I. Merlet, J. M. Badier, P. Chauvel, F. Wendling, The neuronal sources of EEG: modeling of simultaneous scalp and intracerebral recordings in epilepsy. NeuroImage 42(1), 135-146 (2008)
    • (2008) NeuroImage , vol.42 , Issue.1 , pp. 135-146
    • Cosandier-Rimele, D.1    Merlet, I.2    Badier, J.M.3    Chauvel, P.4    Wendling, F.5
  • 55
    • 0034305571 scopus 로고    scopus 로고
    • Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals
    • F. Wendling, J. J. Bellanger, F. Bartolomei, P. Chauvel, Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals. Biol. Cybern. 83(4), 367-378 (2000)
    • (2000) Biol. Cybern , vol.83 , Issue.4 , pp. 367-378
    • Wendling, F.1    Bellanger, J.J.2    Bartolomei, F.3    Chauvel, P.4
  • 57
    • 79953057783 scopus 로고    scopus 로고
    • Localization of extended brain sources from EEG/MEG: The ExSo-MUSIC approach
    • G. Birot, L. Albera, F. Wendling, I. Merlet, Localization of extended brain sources from EEG/MEG: the ExSo-MUSIC approach. NeuroImage 56(1), 102-113 (2011)
    • (2011) NeuroImage , vol.56 , Issue.1 , pp. 102-113
    • Birot, G.1    Albera, L.2    Wendling, F.3    Merlet, I.4
  • 59
    • 34548829090 scopus 로고    scopus 로고
    • A comparative study of different artefact removal algorithms for EEG signals acquired during functional MRI
    • DOI 10.1016/j.neuroimage.2007.07.025, PII S1053811907006623
    • F. Grouiller, L. Vercueil, A. Krainik, C. Segebarth, P. Kahane, O. David, A comparative study of different artefact removal algorithms for EEG signals acquired during functional MRI. NeuroImage 38(1), 124-137 (2007) (Pubitemid 47440136)
    • (2007) NeuroImage , vol.38 , Issue.1 , pp. 124-137
    • Grouiller, F.1    Vercueil, L.2    Krainik, A.3    Segebarth, C.4    Kahane, P.5    David, O.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.