메뉴 건너뛰기




Volumn 53, Issue 8, 2006, Pages 1624-1634

Subspace projection filters for real-time brain electromagnetic imaging

Author keywords

Beamforming; EEG; Inverse solution; MEG; Minimum norm; Principal component analysis; Quadratic form; Rayleigh quotient; Real time neuroimaging; sLORETA; Spatial filters

Indexed keywords

BRAIN; ELECTROENCEPHALOGRAPHY; MAGNETOELECTRIC EFFECTS; MAGNETOENCEPHALOGRAPHY; NEUROLOGY; PRINCIPAL COMPONENT ANALYSIS; RAYLEIGH FADING; TOMOGRAPHY;

EID: 33746627291     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2006.878055     Document Type: Article
Times cited : (47)

References (26)
  • 1
    • 13544256483 scopus 로고    scopus 로고
    • Functional localization of brain sources using EEG and/or MEG data: Volume conductor and source models
    • F. Lopes de Silva, "Functional localization of brain sources using EEG and/or MEG data: Volume conductor and source models," Magn. Res. Imag., vol. 22, pp. 1533-1538, 2004.
    • (2004) Magn. Res. Imag. , vol.22 , pp. 1533-1538
    • Lopes De Silva, F.1
  • 2
    • 84984552597 scopus 로고    scopus 로고
    • Localization of brain electrical activity via linearly constrained minimum variance spatial filter
    • Sep.
    • B. D. van Veen, W. van Drongelen, and A. Suzuki, "Localization of brain electrical activity via linearly constrained minimum variance spatial filter," IEEE Trans. Biomed. Eng., vol. 44, no. 9, pp. 867-880, Sep. 1997.
    • (1997) IEEE Trans. Biomed. Eng. , vol.44 , Issue.9 , pp. 867-880
    • Van Veen, B.D.1    Van Drongelen, W.2    Suzuki, A.3
  • 3
    • 11144357465 scopus 로고    scopus 로고
    • Commonalities and differences among vectorized beamformers in electromagnetic source imaging
    • M.-X. Huang, "Commonalities and differences among vectorized beamformers in electromagnetic source imaging," Brain Topogr., vol. 16, no. 3, pp. 39-158, 2004.
    • (2004) Brain Topogr. , vol.16 , Issue.3 , pp. 39-158
    • Huang, M.-X.1
  • 4
    • 0036123442 scopus 로고    scopus 로고
    • Application of an MEG eigenspace beamformer to reconstructing spatio-temporal activities of neuronal sources
    • K. Sekihara, S. S. Nagarajan, D. Poeppel, A. Marantz, and Y. Miyashita, "Application of an MEG eigenspace beamformer to reconstructing spatio-temporal activities of neuronal sources," Hum. Brain Mapp., vol. 15, no. 4, pp. 199-215, 2002.
    • (2002) Hum. Brain Mapp. , vol.15 , Issue.4 , pp. 199-215
    • Sekihara, K.1    Nagarajan, S.S.2    Poeppel, D.3    Marantz, A.4    Miyashita, Y.5
  • 5
    • 0001787597 scopus 로고    scopus 로고
    • Review of methods for solving the EEG inverse problem
    • R. D. Pascual-Marqui, "Review of methods for solving the EEG inverse problem," Int. J. Bioelectromag., vol. 1, no. 1, pp. 75-86, 1999.
    • (1999) Int. J. Bioelectromag. , vol.1 , Issue.1 , pp. 75-86
    • Pascual-Marqui, R.D.1
  • 6
    • 0036454342 scopus 로고    scopus 로고
    • Standardized low resolution brain electromagnetic tomography (sLORETA): Technical details
    • _, "Standardized low resolution brain electromagnetic tomography (sLORETA): Technical details," Meth. Find. Exp. Clin. Pharmacol., vol. 24D, pp. 5-12, 2002.
    • (2002) Meth. Find. Exp. Clin. Pharmacol. , vol.24 D , pp. 5-12
  • 7
    • 17844390401 scopus 로고    scopus 로고
    • Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction
    • K. Sekihara, M. Sahani, and S. S. Nagarajan, "Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction," Neuroimage, vol. 25, pp. 1056-1067, 2005.
    • (2005) Neuroimage , vol.25 , pp. 1056-1067
    • Sekihara, K.1    Sahani, M.2    Nagarajan, S.S.3
  • 8
    • 27644484669 scopus 로고    scopus 로고
    • Local linear estimators for the bioelectromagnetic inverse problem
    • Sep.
    • R. E. Greenblatt, A. Ossadtchi, and M. E. Pflieger, "Local linear estimators for the bioelectromagnetic inverse problem," IEEE Trans. Signal Process., vol. 53, no. 9, pp. 3403-3412, Sep. 2005.
    • (2005) IEEE Trans. Signal Process , vol.53 , Issue.9 , pp. 3403-3412
    • Greenblatt, R.E.1    Ossadtchi, A.2    Pflieger, M.E.3
  • 9
    • 10244257524 scopus 로고    scopus 로고
    • Low-Resolution electromagnetic tomography neurofeedback
    • Dec.
    • M. Congedo, J. F. Lubar, and D. Joffe, "Low-Resolution electromagnetic tomography neurofeedback," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 12, 4, no. 4, pp. 387-397, Dec. 2004.
    • (2004) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.12 , Issue.4 , pp. 387-397
    • Congedo, M.1    Lubar, J.F.2    Joffe, D.3
  • 11
    • 0032892052 scopus 로고    scopus 로고
    • SOFIA: Spatially optimal fast initial analysis of biomagnetic signals
    • J. P. Bolton, J. Gross, L. C. Liu, and A. A. Ioannides, "SOFIA: Spatially optimal fast initial analysis of biomagnetic signals," Phys. Med. Biol., vol. 44, no. 1, pp. 87-103, 1999.
    • (1999) Phys. Med. Biol. , vol.44 , Issue.1 , pp. 87-103
    • Bolton, J.P.1    Gross, J.2    Liu, L.C.3    Ioannides, A.A.4
  • 12
    • 0032785689 scopus 로고    scopus 로고
    • Linear transformation of data space in MEG
    • J. Gross and A. A. Ioannides, "Linear transformation of data space in MEG," Phys. Med. Biol., vol. 44, no. 1, pp. 87-103, 1999.
    • (1999) Phys. Med. Biol. , vol.44 , Issue.1 , pp. 87-103
    • Gross, J.1    Ioannides, A.A.2
  • 14
    • 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., vol. 32, no. 1, pp. 11-22, 1987.
    • (1987) Phys. Med. Biol. , vol.32 , Issue.1 , pp. 11-22
    • Sarvas, J.1
  • 17
    • 84977245393 scopus 로고
    • The resolving power of gross earth data
    • G. Backus and F. Gilbert, "The resolving power of gross earth data," Geophys. J. Roy. Astron. Soc., vol. 16, pp. 169-205, 1968.
    • (1968) Geophys. J. Roy. Astron. Soc. , vol.16 , pp. 169-205
    • Backus, G.1    Gilbert, F.2
  • 18
    • 3343003793 scopus 로고    scopus 로고
    • Evaluation of sLORETA in the presence of noise and multiple sources
    • M. Wagner, M. Fuchs, and I. Kastner, "Evaluation of sLORETA in the presence of noise and multiple sources," Brain Topogr., vol. 16, no. 4, pp. 277-280, 2004.
    • (2004) Brain Topogr. , vol.16 , Issue.4 , pp. 277-280
    • Wagner, M.1    Fuchs, M.2    Kastner, I.3
  • 19
    • 0023985457 scopus 로고
    • Beamforming: A versatile approach to spatial filtering
    • Apr.
    • B. D. Van Veen and M. Buckley, "Beamforming: A versatile approach to spatial filtering," IEEE Acoust. Speech, Signal Process Mag., vol. 5, no. 2, pp. 4-24, Apr. 1988.
    • (1988) IEEE Acoust. Speech, Signal Process Mag. , vol.5 , Issue.2 , pp. 4-24
    • Van Veen, B.D.1    Buckley, M.2
  • 21
    • 0014595721 scopus 로고
    • Some applications of the singular value decomposition
    • I. J. Good, "Some applications of the singular value decomposition," Technometrics, vol. 11, no. 4, pp. 823-831, 1969.
    • (1969) Technometrics , vol.11 , Issue.4 , pp. 823-831
    • Good, I.J.1
  • 22
    • 12444338877 scopus 로고    scopus 로고
    • Voltage-Based versus factor score-based source localization analyses of electroencephalographical brain activity: A comparison
    • L. Carretié, "Voltage-Based versus factor score-based source localization analyses of electroencephalographical brain activity: A comparison," Brain Topogr., vol. 17, no. 2, pp. 109-115, 2004.
    • (2004) Brain Topogr. , vol.17 , Issue.2 , pp. 109-115
    • Carretié, L.1
  • 24
    • 23844477225 scopus 로고    scopus 로고
    • Sparse solutions to linear inverse problems with multiple measurement vectors
    • Jul.
    • S. F. Cotter, B. D. Rao, K. Engan, and K. Kreutz-Delgado, "Sparse solutions to linear inverse problems with multiple measurement vectors," IEEE Trans. Signal Process., vol. 53, no. 7, pp. 2477-2499, Jul. 2005.
    • (2005) IEEE Trans. Signal Process. , vol.53 , Issue.7 , pp. 2477-2499
    • Cotter, S.F.1    Rao, B.D.2    Engan, K.3    Kreutz-Delgado, K.4
  • 25
    • 4644331980 scopus 로고    scopus 로고
    • Asymptotic SNR of scalar and vector minimum-variance beamformers for neuromagnetic source reconstruction
    • Oct.
    • K. Sekihara, S. S. Nagarajan, D. Poeppel, and A. Marantz, "Asymptotic SNR of scalar and vector minimum-variance beamformers for neuromagnetic source reconstruction," IEEE Trans. Biomed. Eng., vol. 51, no. 10, pp. 1726-1734, Oct. 2004.
    • (2004) IEEE Trans. Biomed. Eng. , vol.51 , Issue.10 , pp. 1726-1734
    • Sekihara, K.1    Nagarajan, S.S.2    Poeppel, D.3    Marantz, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.