PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Abujelala, M., Sharma, A., Abellanoza, C., & Makedon, F. (2016). Brain-EE: Brain enjoyment evaluation using commercial EEG headband. In Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (pp. 1-5). ACM Publishing. https://doi.org/10.1145/2910674.2910691

• Barnett, S. B., & Cerf, M. (2017). A ticket for your thoughts: Method for predicting content recall and sales using neural similarity of moviegoers. Journal of Consumer Research, 44(1), 160-181. https://doi.org/10.1093/jcr/ucw083

• Beres, A. M. (2017). Time is of the essence: A review of electroencephalography (EEG) and event-related brain potentials (ERPs) in language research. Applied Psychophysiology Biofeedback, 42(4), 247-255. https://doi.org/10.1007/s10484-017-9371-3

• Bhagchandani, A., Bhatt, D., & Chopade, M. (2018). Various big data techniques to process and analyse neuroscience data. In 2018 5th International Conference on “Computing for Sustainable Global Development (pp. 397-402). INDIACom.

• Boksem, M. A. S., & Smidts, A. (2015). Brain responses to movie trailers predict individual preferences for movies and their population-wide commercial success. Journal of Marketing Research, 52(4), 482-492. https://doi.org/10.1509/jmr.13.0572

• Casson, A. J., Abdulaal, M., Dulabh, M., Kohli, S., Krachunov, S., & Trimble, E. (2018). Electroencephalogram. In T. Tamura & W. Chen (Eds), Seamless healthcare monitoring (pp. 45-81). Springer. https://doi.org/https://doi.org/10.1007/978-3-319-69362-0_2

• Coenen, A., & Zayachkivska, O. (2013). Adolf Beck: A pioneer in electroencephalography in between Richard Caton and Hans Berger. Advances in Cognitive Psychology, 9(4), 216-221. https://doi.org/10.5709/acp-0148-3

• Deolindo, C. S., Ribeiro, M. W., Aratanha, M. A., Afonso, R. F., Irrmischer, M., & Kozasa, E. H. (2020). A critical analysis on characterising the meditation experience through the electroencephalogram. Frontiers in Systems Neuroscience, 14(August), 1-29. https://doi.org/10.3389/fnsys.2020.00053

• Doma, O. O. (2019). EEG as input for virtual reality. In N. Lee (Ed.), Encyclopedia of computer graphics and games (pp. 1-4). Springer International Publishing. https://doi.org/10.1007/978-3-319-08234-9_176-1

• Hill, H. (2019). Exploring the limitations of event-related potential measures in moving subjects. Case studies of four different technical modifications in ergometer rowing. BioRxiv, 31, 1-23. https://doi.org/10.1101/578534

• House, P. M., Pelzl, S., Furrer, S., Lanz, M., Simova, O., Voges, B., Stodieck, S. R. G., & Brückner, K. E. (2020). Use the mixed reality tool “VSI Patient Education” for more comprehensible and imaginable patient education before epilepsy surgery and stereotactic implantation of DBS or stereo-EEG electrodes. Epilepsy Research, 159(October 2019), Article 106247. https://doi.org/10.1016/j.eplepsyres.2019.106247

• Husain, A. M., & Sinha, S. R. (2020). Continuous EEG monitoring: Principles and practice. Journal of Clinical Neurophysiology, 37(3), 274-274. https://doi.org/10.1097/wnp.0000000000000571

• Ibrahim, S. A. S., Hamzah, N., Wahab, A. R. A., Abdullah, J. M., Malim, N. H. A. H., Sumari, P., Idris, Z., Mokhtar, A. M., Ghani, A. R. I., Halim, S. A., & Razak, S. A. (2020). Big brain data initiative in universiti sains malaysia: Challenges in brain mapping for Malaysia. Malaysian Journal of Medical Sciences, 27(4), 1-8. https://doi.org/10.21315/mjms2020.27.4.1

• Kaplan, R. M. (2011). The mind reader: The forgotten life of Hans Berger, discoverer of the EEG. Australasian Psychiatry, 19(2), 168-169. https://doi.org/10.3109/10398562.2011.561495

• Koudelková, Z., & Strmiska, M. (2018). Introduction to the identification of brain waves based on their frequency. MATEC Web of Conferences, 210, 1-4. https://doi.org/10.1051/matecconf/201821005012

• Lau-Zhu, A., Lau, M. P. H., & McLoughlin, G. (2019). Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges. Developmental Cognitive Neuroscience, 36(October 2018), Article 100635. https://doi.org/10.1016/j.dcn.2019.100635

• Lin, M. H. J., Cross, S. N. N., Jones, W. J., & Childers, T. L. (2018). Applying EEG in consumer neuroscience. European Journal of Marketing, 52(1-2), 66-91. https://doi.org/10.1108/EJM-12-2016-0805

• Liu, X., Zhang, J., Hou, G., & Wang, Z. (2018). Virtual reality and its application in military. IOP Conference Series: Earth and Environmental Science, 170(3), Article 032155. https://doi.org/10.1088/1755-1315/170/3/032155

• Maddirala, A. K., & Shaik, R. A. (2018). Separation of sources from single-channel EEG signals using independent component analysis. IEEE Transactions on Instrumentation and Measurement, 67(2), 382-393. https://doi.org/10.1109/TIM.2017.2775358

• Maples-Keller, J. L., Bunnell, B. E., Kim, S. J., & Rothbaum, B. O. (2017). The use of virtual reality technology in the treatment of anxiety and other psychiatric disorders. Harvard Review of Psychiatry, 25(3), 103-113. https://doi.org/ 10.1097/HRP.0000000000000138

• McIntosh, J., Rodgers, M., Marques, B., & Gibbard, A. (2019). The use of VR for creating therapeutic environments for the health and well-being of military personnel, their families and their communities. Journal of Digital Landscape Architecture, 2019(4), 185-194. https://doi.org/10.14627/537663020

• Mosslah, A. A., Mahdi, R. H., & Al-Barzinji, S. M. (2019). Brain-computer interface for biometric authentication by recording signal. Computer Science & Information Technology, 2019, 153-162. https://doi.org/10.5121/csit.2019.90613

• Plassmann, H., Venkatraman, V., Huettel, S., & Yoon, C. (2015). Consumer neuroscience: Applications, challenges, and possible solutions. Journal of Marketing Research, 52(4), 427-435. https://doi.org/10.1509/jmr.14.0048

• Read, G. L., & Innis, I. J. (2017). Electroencephalography (EEG). In J. Matthes (Ed.), The international encyclopedia of communication research methods (pp. 1-18). John Wiley & Sons, Inc. https://doi.org/10.1002/9781118901731.iecrm0080

• Reyes, L. M. S., Reséndiz, J. R., & Ramírez, G. N. A. (2019). Trends of clinical EEG systems: A review. In 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings (pp. 571-576). IEEE Publishing. https://doi.org/10.1109/IECBES.2018.8626680

• Rojas, G. M., Alvarez, C., Montoya, C. E., de la Iglesia-Vayá, M., Cisternas, J. E., & Gálvez, M. (2018). Study of resting-state functional connectivity networks using EEG electrodes position as seed. Frontiers in Neuroscience, 12(APR), 1-12. https://doi.org/10.3389/fnins.2018.00235

• Seal, A., Reddy, P. P. N., Chaithanya, P., Meghana, A., Jahnavi, K., Krejcar, O., Hudak, R., & Jiang, Y. Z. (2020). An EEG database and its initial benchmark emotion classification performance. Computational and Mathematical Methods in Medicine, 2020¸ Article 8303465. https://doi.org/10.1155/2020/8303465

• Siuly, S., Li, Y., & Zhang, Y. (2016). Significance of EEG signals in medical and health research. In EEG signal analysis and classification (pp. 23-41). Springer. https://doi.org/https://doi.org/10.1007/978-3-319-47653-7_2

• Suhaimi, N. S., Mountstephens, J., & Teo, J. (2020). EEG-based emotion recognition: A state-of-the-art review of current trends and opportunities. Computational Intelligence and Neuroscience, 2020, Article 8875426. https://doi.org/10.1155/2020/8875426

• Tudor, M., Tudor, L., & Tudor, K. I. (2005). The history of electroencephalography. Acta Medica Croatica, 59(4), 307-313.

• Vaid, S., Singh, P., & Kaur, C. (2015). EEG signal analysis for BCI interface: A review. In International Conference on Advanced Computing and Communication Technologies, ACCT ( pp. 143-147). IEEE Publishing. https://doi.org/10.1109/ACCT.2015.72

• Xue, G., Chen, C., Lu, Z. L., & Dong, Q. (2010). Brain imaging techniques and their applications in decision-making research. Acta Psychologica Sinica, 42(1), 120-137. https://doi.org/10.3724/sp.j.1041.2010.00120

• Yu, J. H., & Sim, K. B. (2016). Classification of color imagination using Emotiv EPOC and event-related potential in electroencephalogram. Optik, 127(20), 9711-9718. https://doi.org/10.1016/j.ijleo.2016.07.074