Chapter 2 Hardware architecture for denoising of EOG signal using a differential evolution algorithm
V. H. Prasad Reddy
National Institute of Technology, Tadepalligudem, India
Gundugonti Kishore Kumar
V R Siddhartha Engineering College, Vijayawada, India
Puli Kishore Kumar
National Institute of Technology, Tadepalligudem, India
2.1 Introduction
The electrooculogram (EOG) signal used for eye movement recording measures corneo-retinal potential difference and is used in many biomedical and control device applications [1]. Human–computer interface (HCI) systems have an important role to play today in patient communication for biomedical applications. The EOG signal can be used effectively in locked-in syndrome patients ...
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