[1] Zhao J, Qiao J, Ding X T et al. fNIRS signal motion correction algorithm based on mathematical morphology and median filter[J]. Acta Optica Sinica, 40, 2230002(2020).

[2] Naseer N, Hong K S. Corrigendum “fNIRS-based brain-computer interfaces: a review”[J]. Frontiers in Human Neuroscience, 9, 172(2015).

[3] Ding X M, Wang B Y, Liu D Y et al. Multi-channel brain functional imaging system based on lock-in photon counting[J]. Chinese Journal of Lasers, 46, 0107001(2019).

[4] Liu Y, Liu D Y, Zhang Y et al. A portable fNIRS-topography system for BCI applications: full parallel detection and pilot paradigm validation[J]. Chinese Journal of Lasers, 48, 1107001(2021).

[5] Power S D, Falk T H, Chau T. Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy[J]. Journal of Neural Engineering, 7, 26002(2010).

[6] Hwang H J, Choi H, Kim J Y et al. Toward more intuitive brain-computer interfacing: classification of binary covert intentions using functional near-infrared spectroscopy[J]. Journal of Biomedical Optics, 21, 091303(2016).

[7] Gallegos-Ayala G, Furdea A, Takano K et al. Brain communication in a completely locked-in patient using bedside near-infrared spectroscopy[J]. Neurology, 82, 1930-1932(2014).

[8] Hassanpour M S, White B R, Eggebrecht A T et al. Statistical analysis of high density diffuse optical tomography[J]. NeuroImage, 85, 104-116(2014).

[9] Gao F, Chen C, Zhao H J et al. A dual-wavelength, lock-in optical topography system[J]. Nanotechnology and Precision Engineering, 12, 7-14(2014).