EOG Signal Compression Using Turning Point Algorithm
Alberto López, Francisco Javier Ferrero, Jose Ramon Villar · 2021
Electrooculography is one way to measure the electrical activity of the eyes. An electrooculogram (EOG) is the graphical representation of the electrical signal generated from eye movement. The different applications developed in the past decade based on these signals require a large amount of data to store and transmit, so compression is necessary. This paper presents a study conducted to compress EOGs using the turning point (TP) algorithm. For this purpose, electrical signals were acquired using a BlueGain EOG device, and the algorithm was implemented using MATLAB software. From this algorithm the signal was compressed and later reconstructed. The performance of the algorithm was analyzed using three parameters: compression ratio (CR), percent root-mean-square difference (PRD), and compression performance (CP). The experimental results, conducted over seven iterations of the algorithm, showed that the TP algorithm produced a fixed CR of 2:1 and a PRD of 2.9131 in its first iteration.