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Author/Affiliation: Marwa Farouk Ibrahim IbrahimOpen AccessArticle
9 Pages, 959 KB 
Auto-Encoder based Deep Learning for Surface Electromyography Signal Processing
Abstract:
Feature extraction is taking a very vital and essential part of bio-signal processing. We need to choose one of two paths to identify and select features in any system. The most popular track is engineering handcrafted, which mainly depends on the user experience and the field of application. While the other path is feature learning,…
Read More(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 1,031 KB
Self-Organizing Map based Feature Learning in Bio-Signal Processing
Abstract:
Feature extraction is playing a significant role in bio-signal processing. Feature identification and selection has two approaches. The standard method is engineering handcraft which is based on user experience and application area. While the other approach is feature learning that based on making the system identify and select the best features suit the application. The…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Biomedical Engineering (EBI))