A multiple linear regression model approach for two-class fNIR data classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42044-020-00064-0.pdf
Reference30 articles.
1. Ranganatha, S., Hoshi, Y., Guan, C.: Near infrared spectroscopy based brain–computer interface. SPIE. Soc. Opt. Eng. Proc. SPIE 5852, 434–442 (2005). https://doi.org/10.1117/12.621536
2. Naseer, N., Qureshi, N.K., Noori, F.M., Hong, K.S.: Analysis of different classification techniques for two-class functional near-infrared spectroscopy-based brain–computer interface. Comput. Intell. Neurosci. 1–11, 2016 (2016). https://doi.org/10.1155/2016/5480760
3. Nicolas-Alonso, L.F., Gomez-Gil, J.: Brain computer interfaces, a review. Sensors 12(2), 1211–1279 (2012). https://doi.org/10.3390/s120201211
4. Abibullaev, B., An, J.: Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms. Med. Eng. Phys. 34(10), 1394–1410 (2012). https://doi.org/10.1016/j.medengphy.2012.01.002
5. Holper, L., Wolf, M.: Single-trial classification of motor imagery differing in task complexity: a functional near-infrared spectroscopy study. J. NeuroEng. Rehabil. 8(1), 1–13 (2011). https://doi.org/10.1186/1743-0003-8-34
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