{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T11:41:05Z","timestamp":1715341265062},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2013,5,9]],"date-time":"2013-05-09T00:00:00Z","timestamp":1368057600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2013,8]]},"DOI":"10.1007\/s11517-013-1069-y","type":"journal-article","created":{"date-parts":[[2013,5,8]],"date-time":"2013-05-08T17:31:12Z","timestamp":1368034272000},"page":"937-951","source":"Crossref","is-referenced-by-count":2,"title":["Development of a generative model of magnetoencephalography noise that enables brain signal extraction from single-epoch data"],"prefix":"10.1007","volume":"51","author":[{"given":"Yutaka","family":"Uno","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaoru","family":"Amano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tsunehiro","family":"Takeda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,5,9]]},"reference":[{"key":"1069_CR1","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1109\/77.919433","volume":"11","author":"Y Adachi","year":"2001","unstructured":"Adachi Y, Shimogawara M, Higuchi M, Haruta Y, Ochiai M (2001) Reduction of non-periodic environmental magnetic noise in MEG measurement by continuously adjusted least squares method. IEEE Trans Appl Supercond 11:669\u2013672","journal-title":"IEEE Trans Appl Supercond"},{"key":"1069_CR2","doi-asserted-by":"crossref","first-page":"13367","DOI":"10.1073\/pnas.201400998","volume":"98","author":"E Ahissar","year":"2001","unstructured":"Ahissar E, Nagarajan S, Ahissar M, Protopapas A, Mahncke H, Merzenich MM (2001) Speech comprehension is correlated with temporal response patterns recorded from auditory cortex. Proc Natl Acad Sci 98:13367\u201313372","journal-title":"Proc Natl Acad Sci"},{"key":"1069_CR3","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","volume":"19","author":"H Akaike","year":"1974","unstructured":"Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19:716\u2013723","journal-title":"IEEE Trans Autom Control"},{"key":"1069_CR4","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1109\/10.668741","volume":"45","author":"M Arnold","year":"1998","unstructured":"Arnold M, Milner XHR, Witte H, Bauer R, Braun C (1998) Adaptive AR modeling of nonstationary time series by means of Kalman filtering. IEEE Trans Biomed Eng 45:553\u2013562","journal-title":"IEEE Trans Biomed Eng"},{"key":"1069_CR5","doi-asserted-by":"crossref","first-page":"1220","DOI":"10.1016\/j.clinph.2003.12.015","volume":"115","author":"G Barbati","year":"2004","unstructured":"Barbati G, Porcaro C, Zappasodi F, Rossini PM, Tecchio F (2004) Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals. Clin Neurophysiol 115:1220\u20131232","journal-title":"Clin Neurophysiol"},{"key":"1069_CR6","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/0141-5425(83)90001-8","volume":"5","author":"F Bartoli","year":"1983","unstructured":"Bartoli F, Cerutti S (1983) An optimal linear filter for the reduction of noise superimposed to the EEG signal. J Biomed Eng 5:274\u2013280","journal-title":"J Biomed Eng"},{"key":"1069_CR7","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.jneumeth.2007.06.003","volume":"165","author":"A Cheveign\u00e9 de","year":"2007","unstructured":"de Cheveign\u00e9 A, Simon JZ (2007) Denoising based on time-shift PCA. J Neurosci Methods 165:297\u2013305","journal-title":"J Neurosci Methods"},{"key":"1069_CR8","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.jneumeth.2007.09.012","volume":"168","author":"A Cheveign\u00e9 de","year":"2008","unstructured":"de Cheveign\u00e9 A, Simon JZ (2008) Sensor noise suppression. J Neurosci Methods 168:195\u2013202","journal-title":"J Neurosci Methods"},{"key":"1069_CR9","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.neuroimage.2004.02.022","volume":"23","author":"A Galka","year":"2004","unstructured":"Galka A, Yamashita O, Ozaki T, Biscay R, Vald\u00e9s-Sosa P (2004) A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering. NeuroImage 23:435\u2013453","journal-title":"NeuroImage"},{"key":"1069_CR10","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1080\/07350015.1983.10509349","volume":"1","author":"W Gersch","year":"1983","unstructured":"Gersch W, Kitagawa G (1983) The prediction of time series with trends and seasonalities. J Bus Econ Stat 1:253\u2013264","journal-title":"J Bus Econ Stat"},{"key":"1069_CR11","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1103\/RevModPhys.65.413","volume":"65","author":"M H\u00e4m\u00e4l\u00e4inen","year":"1993","unstructured":"H\u00e4m\u00e4l\u00e4inen M, Hari R, Ilmoniemi RJ, Knuutila J, Lounasmaa OV (1993) Magnetoencephalography\u2014theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev Mod Phys 65:413\u2013497","journal-title":"Rev Mod Phys"},{"key":"1069_CR12","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1109\/TNN.2002.806648","volume":"14","author":"C Jianting","year":"2003","unstructured":"Jianting C, Murata N, Amari S, Cichocki A, Takeda T (2003) A robust approach to independent component analysis of signals with high-level noise measurements. IEEE Trans Neural Netw 14:631\u2013645","journal-title":"IEEE Trans Neural Netw"},{"key":"1069_CR13","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1115\/1.3662552","volume":"82","author":"RE Kalman","year":"1960","unstructured":"Kalman RE (1960) A new approach to linear filtering and prediction problems. J Basic Eng 82:35\u201345","journal-title":"J Basic Eng"},{"key":"1069_CR14","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1016\/0022-460X(83)90547-3","volume":"89","author":"G Kitagawa","year":"1983","unstructured":"Kitagawa G (1983) Changing spectrum estimation. J Sound Vib 89:433\u2013445","journal-title":"J Sound Vib"},{"key":"1069_CR15","first-page":"378","volume":"79","author":"G Kitagawa","year":"1984","unstructured":"Kitagawa G, Gersch W (1984) A smoothness priors-state space modeling of time series with trend and seasonality. J Am Stat Assoc 79:378\u2013389","journal-title":"J Am Stat Assoc"},{"key":"1069_CR16","first-page":"145","volume":"8","author":"S Makeig","year":"1996","unstructured":"Makeig S, Bell AJ, Jung TP, Sejnowski TJ (1996) Independent component analysis of electroencephalographic data. Adv Neural Inf Process Syst 8:145\u2013151","journal-title":"Adv Neural Inf Process Syst"},{"key":"1069_CR17","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1093\/comjnl\/7.4.308","volume":"7","author":"JA Nelder","year":"1965","unstructured":"Nelder JA, Mead R (1965) A simplex method for function minimization. Comput J 7:308\u2013313","journal-title":"Comput J"},{"key":"1069_CR18","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1007\/978-0-387-40065-5_18","volume-title":"Numerical optimization","author":"J Nocedal","year":"2006","unstructured":"Nocedal J, Wright SJ (2006) Numerical optimization, 2nd edn. Springer, New York, pp 529\u2013562","edition":"2"},{"key":"1069_CR19","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1007\/BF02351037","volume":"43","author":"S Okawa","year":"2005","unstructured":"Okawa S, Honda S (2005) Reduction of noise from magnetoencephalography data. Med Biol Eng Comput 43:630\u2013637","journal-title":"Med Biol Eng Comput"},{"key":"1069_CR20","unstructured":"Powell M (1978) Numerical analysis. In Watson G (ed). Springer, Berlin, pp 144\u2013157"},{"key":"1069_CR21","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1088\/0031-9155\/32\/1\/004","volume":"32","author":"J Sarvas","year":"1987","unstructured":"Sarvas J (1987) Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. Phys Med Biol 32:11\u201322","journal-title":"Phys Med Biol"},{"key":"1069_CR22","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1111\/1469-8986.3820343","volume":"38","author":"KM Spencer","year":"2001","unstructured":"Spencer KM, Dien J, Donchin E (2001) Spatiotemporal analysis of the late ERP responses to deviant stimuli. Psychophysiology 38:343\u2013358","journal-title":"Psychophysiology"},{"key":"1069_CR23","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.1002\/hbm.20627","volume":"30","author":"S Taulu","year":"2009","unstructured":"Taulu S, Hari R (2009) Removal of magnetoencephalographic artifacts with temporal signal-space separation: demonstration with single-trial auditory-evoked responses. Hum Brain Mapp 30:1524\u20131534","journal-title":"Hum Brain Mapp"},{"key":"1069_CR24","doi-asserted-by":"crossref","first-page":"124905","DOI":"10.1063\/1.1935742","volume":"97","author":"S Taulu","year":"2005","unstructured":"Taulu S, Kajola M (2005) Presentation of electromagnetic multichannel data: the signal space separation method. J Appl Phys 97:124905","journal-title":"J Appl Phys"},{"key":"1069_CR25","doi-asserted-by":"crossref","first-page":"1759","DOI":"10.1088\/0031-9155\/51\/7\/008","volume":"51","author":"S Taulu","year":"2006","unstructured":"Taulu S, Simola J (2006) Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements. Phys Med Biol 51:1759\u20131768","journal-title":"Phys Med Biol"},{"key":"1069_CR26","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1023\/B:BRAT.0000032864.93890.f9","volume":"16","author":"S Taulu","year":"2004","unstructured":"Taulu S, Kajola M, Simola J (2004) Suppression of interference and artifacts by the signal space separation method. Brain Topogr 16:269\u2013275","journal-title":"Brain Topogr"},{"key":"1069_CR27","doi-asserted-by":"crossref","first-page":"3359","DOI":"10.1109\/TSP.2005.853302","volume":"53","author":"S Taulu","year":"2005","unstructured":"Taulu S, Simola J, Kajola M (2005) Applications of the signal space separation method. IEEE Trans Signal Process 53:3359\u20133372","journal-title":"IEEE Trans Signal Process"},{"key":"1069_CR28","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/0013-4694(95)00064-6","volume":"95","author":"CD Tesche","year":"1995","unstructured":"Tesche CD, Uusitalo MA, Ilmoniemi RJ, Huotilainen M, Kajola M, Salonen O (1995) Signal-space projections of MEG data characterize both distributed and well-localized neuronal sources. Electroencephalogr Clin Neurophysiol 95:189\u2013200","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"1069_CR29","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/BF02534144","volume":"35","author":"MA Uusitalo","year":"1997","unstructured":"Uusitalo MA, Ilmoniemi RJ (1997) Signal-space projection method for separating MEG or EEG into components. Med Biol Eng Comput 35:135\u2013140","journal-title":"Med Biol Eng Comput"},{"key":"1069_CR30","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1109\/10.841330","volume":"47","author":"R Vigario","year":"2000","unstructured":"Vigario R, Sarela J, Jousmiki V, Hamalainen M, Oja E (2000) Independent component approach to the analysis of EEG and MEG recordings. IEEE Trans Biomed Eng 47:589\u2013593","journal-title":"IEEE Trans Biomed Eng"}],"container-title":["Medical & Biological Engineering & Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-013-1069-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11517-013-1069-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-013-1069-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T10:42:28Z","timestamp":1715337748000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11517-013-1069-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,5,9]]},"references-count":30,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2013,8]]}},"alternative-id":["1069"],"URL":"https:\/\/doi.org\/10.1007\/s11517-013-1069-y","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,5,9]]}}}