參考文獻 |
[1] Abhang, P. A., Gawali, B. W., & Mehrotra, S. C. Technological basics of EEG recording and operation of apparatus. Introduction to EEG-and Speech-Based Emotion Recognition, pp. 19-50, 2016.
[2] Mohan, B. M., Jyothi, B., & Kiran, K. Biometric based System for User Recognition by using Brain Waves and Fingerprint, 2015.
[3] Bickford, R. D. Electroencephalography. In: Adelman G. ed. Encyclopedia of Neuroscience,Birkhauser, Cambridge (USA), 1987.
[4] Chatterjee, R., Datta, A., & Sanyal, D. K. Ensemble learning approach to motor imagery EEG signal classification. In Machine Learning in Bio-Signal Analysis and Diagnostic Imaging. Academic Press, pp. 183-208, 2019.
[5] International 10-20 system for EEG. from wikipedia
[6] Demos, J. N. Getting started with neurofeedback. WW Norton & Company, 2005.
[7] Vaid, S., Singh, P., & Kaur, C. EEG signal analysis for BCI interface: A review. In 2015 fifth international conference on advanced computing & communication technologies. IEEE, pp. 143-147, 2015, February.
[8] Harmony, T., Fernández, T., Silva, J., Bernal, J., Díaz-Comas, L., Reyes, A., ... & Rodríguez, M. EEG delta activity: an indicator of attention to internal processing during performance of mental tasks. International journal of psychophysiology, 24(1-2), pp. 161-171, 1996.
[9] Lim, S., Yeo, M., & Yoon, G. Comparison between concentration and immersion based on EEG analysis. Sensors, 19(7), p. 1669, 2019.
[10] Key, A. P. F., Dove, G. O., & Maguire, M. J. Linking brainwaves to the brain: an ERP primer. Developmental neuropsychology, 27(2), pp. 183-215, 2005.
[11] Nan, X., & Jinghua, X. The fractal dimension of EEG as a physical measure of conscious human brain activities. Bulletin of Mathematical Biology, 50(5), pp. 559-565, 1988.
[12] Wang, Q., Sourina, O., & Nguyen, M. K. Eeg-based" serious" games design for medical applications. In 2010 International Conference on Cyberworlds. IEEE, pp. 270-276 , 2010, October.
[13] Peng, C. J., Chen, Y. C., Chen, C. C., Chen, S. J., Cagneau, B., & Chassagne, L. An EEG-based attentiveness recognition system using Hilbert–Huang transform and support vector machine. Journal of Medical and Biological Engineering, 40(2), pp. 230-238, 2020.
[14] Suleiman, A. B. R., & Fatehi, T. A. H. Features extraction techniques of EEG signal for BCI applications. Faculty of Computer and Information Engineering Department College of Electronics Engineering, University of Mosul, Iraq, 2007.
[15] Siamaknejad, H., Liew, W. S., & Loo, C. K. Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation. Neural Computing and Applications, 31(3), pp. 945-953, 2019.
[16] Xu, L., Liu, J., Xiao, G., & Jin, W. Characterization and classification of EEG attention based on fuzzy entropy. In 2012 Third International Conference on Digital Manufacturing & Automation IEEE, pp. 277-280, 2012, July.
[17] Cohen, S., Evans, G. W., Krantz, D. S., & Stokols, D. Physiological, motivational, and cognitive effects of aircraft noise on children: moving from the laboratory to the field. American psychologist, 35(3), p. 231, 1980.
[18] Ratcliffe, E., Gatersleben, B., & Sowden, P. T. Bird sounds and their contributions to perceived attention restoration and stress recovery. Journal of Environmental Psychology, 36, pp. 221-228, 2013.
[19] Higuchi, T. Approach to an irregular time series on the basis of the fractal theory, Physica D: Nonlinear Phenomena, 31(2), pp. 277-283, 1988.
[20] Gómez, C., Mediavilla, Á., Hornero, R., Abásolo, D., & Fernández, A. Use of the Higuchi′s fractal dimension for the analysis of MEG recordings from Alzheimer′s disease patients. Medical engineering & physics, 31(3), pp. 306-313, 2009.
[21] Pincus, S. M., Gladstone, I. M., & Ehrenkranz, R. A. A regularity statistic for medical data analysis. Journal of clinical monitoring, 7(4), pp. 335-345, 1991.
[22] Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., ... & Liu, H. H. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London. Series A: mathematical, physical and engineering sciences, 454(1971), pp. 903-995, 1998.
[23] 彭迦儒,”Sensing and actuation with interpenetrated polymers, application in microrobotics”,國立中央大學,博士論文,民國109年。
[24] Jakkula, V. Tutorial on support vector machine (svm). School of EECS, Washington State University, p. 37, 2006.
[25] Cristianini, N., & Shawe-Taylor, J. An introduction to support vector machines and other kernel-based learning methods. Cambridge university press, 2000.
[26] Chang, C. C., & Lin, C. J. LIBSVM: a library for support vector machines. ACM transactions on intelligent systems and technology (TIST), 2(3), pp. 1-27, 2011.
[27] Kimeldorf, G., & Wahba, G. Some results on Tchebycheffian spline functions. Journal of mathematical analysis and applications, 33(1), pp. 82-95, 1971.
[28] Sanchez, J. C., Carmena, J. M., Lebedev, M. A., Nicolelis, M. A., Harris, J. G., & Principe, J. C. Ascertaining the importance of neurons to develop better brain-machine interfaces. IEEE Transactions on Biomedical Engineering, 51(6), pp. 943-953, 2004.
[29] Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., & Arnaldi, B. A review of classification algorithms for EEG-based brain–computer interfaces. Journal of neural engineering, 4(2), R1, 2007.
[30] Stone, M. "Cross‐validatory choice and assessment of statistical predictions." Journal of the Royal Statistical Society: Series B (Methodological) 36.2, pp. 111-133, 1974.
[31] Van Erkel, A. R., & Peter, M. Receiver operating characteristic (ROC) analysis: basic principles and applications in radiology. European Journal of radiology, 27(2), pp. 88-94, 1998.
[32] 網路資料,取自神念科技網站: http://neurosky.com/.
[33] Hoaglin, D. C., Iglewicz, B., & Tukey, J. W. Performance of some resistant rules for outlier labeling. Journal of the American Statistical Association, 81(396), pp. 991-999, 1986.
[34] Loo, C. K., Samraj, A., & Lee, G. C. Evaluation of methods for estimating fractal dimension in motor imagery-based brain computer interface. Discrete Dynamics in Nature and Society, 2011. |