메뉴 건너뛰기




Volumn 2003-January, Issue , 2003, Pages 545-548

Shrinking LORETA-FOCUSS: a recursive approach to estimating high spatial resolution electrical activity in the brain

Author keywords

Computer errors; Computer simulation; Current measurement; Electroencephalography; Electromagnetic measurements; Image resolution; Inverse problems; Recursive estimation; Sparse matrices; Spatial resolution

Indexed keywords

BRAIN; COMPUTER SIMULATION; ELECTRIC CURRENT MEASUREMENT; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; ERRORS; IMAGE RESOLUTION; MATRIX ALGEBRA; SHRINKAGE;

EID: 1342264593     PISSN: 19483546     EISSN: 19483554     Source Type: Conference Proceeding    
DOI: 10.1109/CNE.2003.1196884     Document Type: Conference Paper
Times cited : (11)

References (3)
  • 1
    • 0027998259 scopus 로고
    • Low resolution electromagnetic tomography: A new method for localizing electrical activity in the brain
    • R.D. Pascual-Marqui, C.M. Michel, D. Lehmann, Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int. J. Psychophysiol., vol. 18, pp. 49-65, 1994
    • (1994) Int. J. Psychophysiol. , vol.18 , pp. 49-65
    • Pascual-Marqui, R.D.1    Michel, C.M.2    Lehmann, D.3
  • 2
    • 0028805010 scopus 로고
    • Neuromagnetic source imaging with FOCUSS: A recursive weighted minimum norm algorithm
    • I.F. Gorodnitsky, J.S. George and B.D. Rao, Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm, Electroenceph. Clin. Neurophysiol.vol. 95, pp.231-251, 1995
    • (1995) Electroenceph. Clin. Neurophysiol. , vol.95 , pp. 231-251
    • Gorodnitsky, I.F.1    George, J.S.2    Rao, B.D.3
  • 3
    • 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. Bioelectrontagnetism, vol.1, no.1, pp. 75-86, 1999
    • (1999) Int. J. Bioelectrontagnetism , vol.1 , Issue.1 , pp. 75-86
    • Pascual-Marqui, R.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.