Abstract
The use of EEG signals for measuring cognitive development is an upcoming field of research for a strong cognitive analysis to revolutionize the field of biomedical informatics and neuroscience. This paper highlights the importance of EEG signals in cognitive development experimentation and the challenges faced in conducting an EEG experiment and its intelligent analysis. Solutions to these challenges have been elaborated upon as well. Finally, the paper discusses future prospects in EEG research. A focus on these issues is essential for conducting successful EEG experimentation and choosing an accurate and precise EEG signal analysis methodology.
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Aggarwal, S., Bansal, P., & Garg, S. (2018). EEG signals for measuring cognitive development: A study of EEG signals challenges and prospects. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11278 LNCS, pp. 69–77). Springer Verlag. https://doi.org/10.1007/978-3-030-04021-5_7
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