메뉴 건너뛰기




Volumn 35, Issue 12, 2013, Pages 1811-1818

Minimizing inter-subject variability in fNIRS-based brain-computer interfaces via multiple-kernel support vector learning

Author keywords

Brain computer interfaces; Functional near infrared spectroscopy; Inter subject variability; Multiple kernel learning; RKHS; Support vector machines

Indexed keywords

CLASSIFICATION ALGORITHM; DECISION BOUNDARY; FUNCTIONAL NEAR-INFRARED SPECTROSCOPIES; INTER-SUBJECT VARIABILITY; MULTIPLE KERNEL LEARNING; REPRODUCING KERNEL HILBERT SPACES; RKHS; SUPPORT VECTOR LEARNING;

EID: 84889593590     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2013.08.009     Document Type: Article
Times cited : (24)

References (33)
  • 1
    • 84866160260 scopus 로고    scopus 로고
    • A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application
    • Ferrari M., Quaresima A. A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application. Neuroimage 2012, 63:921-935.
    • (2012) Neuroimage , vol.63 , pp. 921-935
    • Ferrari, M.1    Quaresima, A.2
  • 2
    • 70350241137 scopus 로고    scopus 로고
    • Hemodynamic brain-computer interfaces for communication and rehabilitation
    • Sitaram R., Caria A., Birbaumer N. Hemodynamic brain-computer interfaces for communication and rehabilitation. Neural Netw 2009, 22(9):1320-1328.
    • (2009) Neural Netw , vol.22 , Issue.9 , pp. 1320-1328
    • Sitaram, R.1    Caria, A.2    Birbaumer, N.3
  • 5
    • 33846639587 scopus 로고    scopus 로고
    • Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface
    • Sitaram R., Zhang H., Guan C., Thulasidas M., Hoshi Y., Ishikawa A., et al. Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. Neuroimage 2007, 34:1416-1427.
    • (2007) Neuroimage , vol.34 , pp. 1416-1427
    • Sitaram, R.1    Zhang, H.2    Guan, C.3    Thulasidas, M.4    Hoshi, Y.5    Ishikawa, A.6
  • 6
    • 70450179699 scopus 로고    scopus 로고
    • Discrimination of mental workload levels in human subjects with functional near-infrared spectroscopy
    • Sassaroli A., Zheng F., Hirshfield L.M., Girouard A., Solovey E.T., Jacob R.J.K., et al. Discrimination of mental workload levels in human subjects with functional near-infrared spectroscopy. J Innov Opt Health Sci 2008, 1(2):227-237.
    • (2008) J Innov Opt Health Sci , vol.1 , Issue.2 , pp. 227-237
    • Sassaroli, A.1    Zheng, F.2    Hirshfield, L.M.3    Girouard, A.4    Solovey, E.T.5    Jacob, R.J.K.6
  • 7
    • 73049108812 scopus 로고    scopus 로고
    • Functional near infrared spectroscope for cognition brain tasks by wavelets analysis and neural networks
    • Truong Q.D.K., Masahiro N. Functional near infrared spectroscope for cognition brain tasks by wavelets analysis and neural networks. Int J Biomed Med Sci 2009, 4(1):28-33.
    • (2009) Int J Biomed Med Sci , vol.4 , Issue.1 , pp. 28-33
    • Truong, Q.D.K.1    Masahiro, N.2
  • 8
    • 84869502428 scopus 로고    scopus 로고
    • Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms
    • Abibullaev B., An J. Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms. Med Eng Phys 2012, 34:1394-1410.
    • (2012) Med Eng Phys , vol.34 , pp. 1394-1410
    • Abibullaev, B.1    An, J.2
  • 9
    • 78649753679 scopus 로고    scopus 로고
    • Speeded near infrared spectroscopy (NIRS) response detection
    • Cui X., Bray S., Reiss A. Speeded near infrared spectroscopy (NIRS) response detection. PLoS ONE 2010, 5(11):e15474.
    • (2010) PLoS ONE , vol.5 , Issue.11
    • Cui, X.1    Bray, S.2    Reiss, A.3
  • 10
    • 72849142724 scopus 로고    scopus 로고
    • Single-trial classification of NIRS signals during emotional induction tasks: towards a corporeal machine interface
    • Tai K., Chau T. Single-trial classification of NIRS signals during emotional induction tasks: towards a corporeal machine interface. J Neuroeng Rehabil 2009, 6(39).
    • (2009) J Neuroeng Rehabil , vol.6 , Issue.39
    • Tai, K.1    Chau, T.2
  • 11
    • 37749001843 scopus 로고    scopus 로고
    • Brain-computer interface using a simplified functional near-infrared spectroscopy system
    • Coyle S.M., Ward T.E., Markham C.M. Brain-computer interface using a simplified functional near-infrared spectroscopy system. J Neural Eng 2007, 4:219-226.
    • (2007) J Neural Eng , vol.4 , pp. 219-226
    • Coyle, S.M.1    Ward, T.E.2    Markham, C.M.3
  • 18
    • 37549071414 scopus 로고    scopus 로고
    • Comparison of blood-oxygen-level-dependent functional magnetic resonance imaging and near-infrared spectroscopy recording during functional brain activation in patients with stroke and brain tumors
    • Sakatani K., Murata Y., Fujiwara N., Hoshino T., Nakamura S., Kano T., et al. Comparison of blood-oxygen-level-dependent functional magnetic resonance imaging and near-infrared spectroscopy recording during functional brain activation in patients with stroke and brain tumors. J Biomed Opt 2007, 12(6):062110.
    • (2007) J Biomed Opt , vol.12 , Issue.6 , pp. 062110
    • Sakatani, K.1    Murata, Y.2    Fujiwara, N.3    Hoshino, T.4    Nakamura, S.5    Kano, T.6
  • 19
    • 0028988818 scopus 로고
    • Does measurements of regional cerebral blood flow reflects synaptic activity- implications for PET and fMRI
    • Juepntner M., Willer C. Does measurements of regional cerebral blood flow reflects synaptic activity- implications for PET and fMRI. Neuroimage 1995, 2:148-156.
    • (1995) Neuroimage , vol.2 , pp. 148-156
    • Juepntner, M.1    Willer, C.2
  • 20
    • 36849061676 scopus 로고    scopus 로고
    • Congruent activity during action and action observation in motor cortex
    • Tkach D., Reimer J., Hatsopoulos N.G. Congruent activity during action and action observation in motor cortex. J. Neurosc 2007, 27(48):13241-13250.
    • (2007) J. Neurosc , vol.27 , Issue.48 , pp. 13241-13250
    • Tkach, D.1    Reimer, J.2    Hatsopoulos, N.G.3
  • 21
    • 4344614005 scopus 로고    scopus 로고
    • Activation of the human primary motor cortex during observation of tool use
    • Jarvelainen J., Schurmann M., Hari R. Activation of the human primary motor cortex during observation of tool use. NeuroImage 2004, 23:187-192.
    • (2004) NeuroImage , vol.23 , pp. 187-192
    • Jarvelainen, J.1    Schurmann, M.2    Hari, R.3
  • 22
    • 65249169372 scopus 로고    scopus 로고
    • HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain
    • Huppert T.J., Diamond S.G., Franceschini M.A., Boas D.A. HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Appl Opt 2009, 48:D280-98.
    • (2009) Appl Opt , vol.48
    • Huppert, T.J.1    Diamond, S.G.2    Franceschini, M.A.3    Boas, D.A.4
  • 24
    • 18744364179 scopus 로고    scopus 로고
    • Motion artifact cancellation in NIR spectroscopy using Wiener filtering
    • Izzetoglu M., Devaraj A., Bunce S., Onaral B. Motion artifact cancellation in NIR spectroscopy using Wiener filtering. IEEE Trans Biomed Eng 2005, 52:934-938.
    • (2005) IEEE Trans Biomed Eng , vol.52 , pp. 934-938
    • Izzetoglu, M.1    Devaraj, A.2    Bunce, S.3    Onaral, B.4
  • 25
    • 66149173183 scopus 로고    scopus 로고
    • Wavelet minimum description length detrending for near-infrared spectroscopy
    • Jang K.E., Tak S., Jung J., Jeong Y., Ye J.C. Wavelet minimum description length detrending for near-infrared spectroscopy. J Biomed Opt 2009, 14:34004-34013.
    • (2009) J Biomed Opt , vol.14 , pp. 34004-34013
    • Jang, K.E.1    Tak, S.2    Jung, J.3    Jeong, Y.4    Ye, J.C.5
  • 26
    • 84856283861 scopus 로고    scopus 로고
    • Wavelet-based motion artifact removal for functional near-infrared spectroscopy
    • DOI: 10.1088/0967-3334/33/2/259
    • Molavi B., Dumont G.A. Wavelet-based motion artifact removal for functional near-infrared spectroscopy. Physiol Meas 2012, 33:259. DOI: 10.1088/0967-3334/33/2/259.
    • (2012) Physiol Meas , vol.33 , pp. 259
    • Molavi, B.1    Dumont, G.A.2
  • 27
    • 77951198183 scopus 로고    scopus 로고
    • Motion artifact cancellation in NIR spectroscopy using discrete Kalman filtering
    • Izzetoglu M., Chitrapu P., Bunce S., Onaral B. Motion artifact cancellation in NIR spectroscopy using discrete Kalman filtering. Biomed Eng 2010, 9:16.
    • (2010) Biomed Eng , vol.9 , pp. 16
    • Izzetoglu, M.1    Chitrapu, P.2    Bunce, S.3    Onaral, B.4
  • 29
    • 80052213499 scopus 로고    scopus 로고
    • Multiple kernel learning algorithms
    • Gonen M., Alpaydn E. Multiple kernel learning algorithms. J Mach Learn Res 2011, 12:2211-2268.
    • (2011) J Mach Learn Res , vol.12 , pp. 2211-2268
    • Gonen, M.1    Alpaydn, E.2
  • 30
    • 84858738634 scopus 로고    scopus 로고
    • Efficient and accurate lp-norm multiple kernel learning
    • MIT Press, 22: 997-1005, Y. Bengio, D. Schuurmans, J. Lafferty, C.K.I. Williams, A. Culotta (Eds.)
    • Kloft M., Brefeld U, Sonnenburg S, Laskov P., Muller K.R., Zien A. Efficient and accurate lp-norm multiple kernel learning. Advances in Neural Information Processing Systems 2009, MIT Press, 22: 997-1005. Y. Bengio, D. Schuurmans, J. Lafferty, C.K.I. Williams, A. Culotta (Eds.).
    • (2009) Advances in Neural Information Processing Systems
    • Kloft, M.1    Brefeld, U.2    Sonnenburg, S.3    Laskov, P.4    Muller, K.R.5    Zien, A.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.