Autism Eeg Signal Processing Feature Extraction And Deep Learning

Download or read book Autism EEG Signal Processing, Feature Extraction, and Deep Learning written by Melinda, Na Li, Erick Purwanto, Muliyadi, Yunidar, Syahrul and published by Syiah Kuala University Press. This book was released on 2024-10-18 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a reference book for several studies related to the themes of EEG Signal Processing, Feature Extraction, and Deep Learning. This research was carried out comprehensively using EEG data from autism sufferers. Then a signal signal is carried out by applying several feature extraction methods. Next, we continued the classification process using deep learning methods to get accurate results and differentiate waveforms in autism sufferers from ordinary people. This book is intended for Electrical Engineering, Telecommunications, Electronics Engineering, Control Engineering, Computer Engineering, and other related fields of science. It is still possible to choose empirical formulas/equations. Then, this book has summarized several results from previous research that have been published in international journals related to EEG signal processing and the application of Deep Learning.