Publication

Journal (amount: 18)

[1]    Yang, D., Huang, R., Yoo, S.-H., Shin, M.-J., Yoon, J.-A., Shin, Y.-Il., Hong, K.-S., “Detection of mild cognitive impairment using convolutional neural network: temporal-feature maps of functional near-infrared spectroscopy,” Frontiers Aging Neuroscience, vol. 12, AN:141, 2020. (DOI: 10.3389/fnagi.2020.00141)

[2]    Yang, D., Nguyen, T.-H., and Chung, W.-Y., “A synchronized hybrid brain-computer interface system for simultaneous detection and classification of fusion EEG signals,” Complexity, vol. 2020, AN: 4137283, 2020. (DOI: 10.1155/2020/4137283)

[3]    Yang, D., Yoo, S. H., Kim, C.-S., and Hong, K.-S., “Evaluation of neural degeneration biomarkers in the prefrontal cortex for early identification of patients with mild cognitive impairment: an fNIRS study.” Frontiers in human neuroscience, vol. 13, AN:317, 2019. (DOI: 10.3389/fnhum.2019.00317)

[4]    Yang, D., Nguyen, T.-H., and Chung, W.-Y., “A bipolar-channel hybrid brain-computer interface system for home automation control utilizing steady-state visually evoked potential and eye-blink signals,” Sensors, vol. 20, no. 19, AN: 5474, 2020. (DOI: 10.3390/s20195474)

[5]   Yang, D., Nguyen, T.-H., Kim, J.-J., and Chung, W.-Y., “The optimization of hybrid BCI systems based on blind source separation in single channel”. Journal of the Institute of Convergence Signal Processing, vol. 19, no. 1, pp. 7-13, 2018.

[6]    Nguyen, T.-H., Yang, D., and Chung, W.-Y., “A high-rate BCI speller based on eye-closed EEG signal,” IEEE Access, vol. 6, pp. 33995-34003, 2018. (DOI: 10.1109/ACCESS.2018.2849358)

[7]     Nguyen, T.-H., Yang, D., Kim, J.-J., and Chung, W.-Y., “High-rate BCI spelling system using eye-closed EEG signals,” Journal of the Institute of Convergence Signal Processing, vol. 18, no. 2, pp. 31-36, 2017.

[8]    Yang, D. and Hong, K.-S., “Quantitative assessment of resting-state for mild cognitive impairment detection: A functional near-infrared spectroscopy and deep learning approach,” J. Alzheimers Dis., 80, p647-663, Feb. 2021. (https://doi.org/ 10.3233/JAD-201163 ) 

[9]   Yang, D., Shin, Y.-I., and Hong, K.-S., “Systemic review on transcranial electrical stimulation parameters and EEG/fNIRS features for brain diseases,” Front. Neurosci., 15:629323, March 2021. (https://doi.org/10.3389/fnins.2021.629323).

[10]  Ghafoor, U., Yang, D., and Hong, K.-S., “Neuromodulatory effects of HD-tACS/tDCS on the prefrontal cortex: A resting-state fNIRSEEG study,” IEEE Journal of biomedical and health informatics (Accepted, doi: 10.1109/JBHI.2021.3127080).

[11]  Huang, R., Qing, K., Yang, D., and Hong, K.-S., "Real-time motion artifact removal using a dual-stage median filter," Biomedical signal processing and conrtol  (Accepcted, https://doi.org/10.1016/j.bspc.2021.103301)

[12] Yang, D., Ghafoor, U., Eggebrecht, T. A., and Hong, K.-S., “Effectiveness Assessment of Repetitive Transcranial Alternating Current Stimulation with Concurrent EEG and fNIRS Measurement,” Health Information Science and Systems (Accepted)

[13]   Qing, K., Huang, R., Yang, D., Fan, J., Chi, Q., Wang, Q., Zhao, Q., Hong, K.-S., “Inter-brain synchrony in real-life multitarget tracking cooperation using wearable high-density diffuse optical tomography: an fNIRS hyperscanning study” Biomedical. Opt. Expre. (Under review).

[14] Khan, M. N. A., Yang, D., and Hong, K.-S., “Non-invasive transcranial electrical brain stimulation guided by functional imaging techniques for targeted neuromodulation: A review” Journal of Neural Engineering. (Under review). (2020 IF: 5.379)

[15] Qing, K., Huang, R., Yang, D., Fan, J., Chi, Q., Wang, Q., Zhao, Q., Hong, K.-S., “Inter-brain synchrony in real-life multitarget tracking cooperation using wearable high-density diffuse optical tomography: an fNIRS hyperscanning study” Biomedical. Opt. Expre. (Under review). (2020 IF: 3.732)

[16] Li, R., Yang, D., Fang, F., Hong, K.-S., Reiss, A. L., Zhang, Y., “Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review” Sensors, vol. 22 (15), AN: 5862, 2022. (2020 IF: 3.576)

[17] Huang, R., Yang, D., and Hong, K.-S., “Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A review” Frontiers in neuroscience (Accepted). (2020 IF: 4.677)

[18] Yang, D., Hong, K.-S., and Huang, G.,Repetitive Transcranial Alternating Current Stimulation to Improve Working Memory: An EEG-fNIRS Study,” IEEE Transactions on Neural System and Rehabilitation Engineering (Under Review)

[19] Yang, D. †, Svoboda, A.M. †, Mansfield, P.K., Wheelock, M., Schroeder, M.L., Rafferty, S., Sherafati, A., Yocum, T.B., Forsen. E., Culver, J.P., and Eggebrecht, A.T., “Mapping neural correlates of biological motion in adolescents with Autism using high-density diffuse optical tomography,” Molecular Autism. (Under review, † Equal contribution)


Conference (amount: 16)

[1]  Yang, D., Huang, R., Qing, K., and Hong, K.-S., “Exploring the possibility for early detection of Alzheimer’s disease with spatial-domain neural images,” Proceedings of the  20th International Conference on Control, Automation and Systems (ICCAS 2020), pp. 1073-1078, Busan, Korea, Oct. 13-16, 2020,.

[2]     Huang, R., Yang, D., Qing, K., and Hong, K.-S., “Online motion-artifact removal in fNIRS signals: Combined square-root cubature Kalman filter and weighted moving average model approach,” Proceedings of the 20th International Conference on Control, Automation and Systems (ICCAS 2020), pp. 658-663, Busan, Korea, Oct. 13-16, 2020.

[3]  Qing, K., Yang, D., Huang, R., and Hong, K.-S., “A new hand exoskeleton framework for rehabilitation of fingers,” Proceedings of the 20th International Conference on Control, Automation and Systems (ICCAS 2020), pp. 860-864, Busan, Korea, Oct. 13-16, 2020.

[4]   Qing, K., Yang, D., Huang, R., and Hong, K.-S., “Cognition-based evaluation of commercial advertisement videos using functional near-infrared spectroscopy,” Proceedings of the 39th Chinese Control Conference (CCC 2020), pp. 2803-2808, Shenyang, China, July 27-29, 2020,

[5]   Yang, D. and Hong, K.-S., “Comparison of the neural biomarkers assessment methods for early detection of Alzheimer’s disease,” Proceedings of the International Conference on Mechatronics, Robotics & System Engineering (MoRSE 2019), pp. 34-39, Bali, Indonesia, Dec. 4-6, 2019.

[6]   Yang, D. and Hong, K.-S., “Quadcopter control via onset eye blink signals: A BCI study,” Proceedings of the 19th International Conference on Control, Automation and Systems, pp. 1334-1339, Jeju Island, Korea, Oct. 15-18, 2019.

[7]   Yang, D., Yoo, S.-H., and Hong, K.-S., “Early detection of mild cognitive impairment patients via CNN: a fNIRS study” 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July. 23-27, 2019.

[8]   Yang, D., Nguyen, H.-T., and Chung, W.-Y., “A real time single-channel synchronous BCI hybrid system for multi-dimensional control,” Korean Sensor Society Conference, 2017.

[9]  Yang, D., Nguyen, H.-T., and Chung, W.-Y., “Application of the convolution neural network in one channel hybrid EEG System with motor imagery and steady state visual evoked potential,” Proceedings of Korea Institute of Signal Processing and Systems, 2017.

[10]   Yang, D., Nguyen, H.-T., and Chung, W.-Y., “An online synchronous hybrid BCI system for multidimensional control using MI and SSVEP,” Proceedings of Institute of Electronics and Information Engineers (IEIE), pp. 904-907, 2017

[11]   Nguyen, H.-T., Yang, D., and Chung, W.-Y., “A high-rate BCI speller based on eye-closed EEG signals,” in Korea Institute of Signal Processing and Systems, 2017

[12] Yang, D., Huang, R., Ghafoor, U, Khan, M. N. A., and Hong, K.-S., “Blind Source Separation of Transcranial Direct Current Stimulation from Simultaneous Electroencephalograph Measurement,” Proceedings of the 13th Asian Control conference (ASCC 2022), pp. 1569-1574, Jeju Island, Korea, 2022.


[13] Huang, R., Yang, D., and Hong, K.-S., “Remove the motion artifacts in fNIRS using neural networks,” Proceedings of the 13th Asian Control conference (ASCC 2022), pp. 1359-1364, Jeju Island, Korea, 2022.


[14] Ghafoor, U., Khan, M. N. A., Yang, D., and Hong, K.-S., “Influence of tACS/tDCS on resting state effective connectivity in the frontal cortex: an functional near-infrared spectroscopy study,” Proceedings of the 13th Asian Control conference (ASCC 2022), pp. 1359-1364, Jeju Island, Korea, 2022.


[15] Elisabet, A., Yang, D., Kang, M.-K., and Hong, K.-S., “Cognitive Response to Nitric Oxide on Aging People,” Proceedings of the 13th Asian Control conference (ASCC 2022), pp. 1589-1592, Jeju Island, Korea, 2022.


[16] Khan, M. N. A., Ghafoor, U., Yang, D., and Hong, K.-S., “Reduction in Command Generation Time for fNIRS-Based BCI,” Proceedings of the 13th Asian Control conference (ASCC 2022), pp. 36-41, Jeju Island, Korea, 2022.