Development of mouse cursor control system using electrooculogram signals and its applications in revised hasegawa dementia scale task

The aim of this study is to present that electrooculogram signals can be used for human computer interface efficiently. Establishing an efficient alternative channel for communication without overt speech and hand movements is important to increase the quality of life for patients suffering from Amyotrophic Lateral Sclerosis or other illnesses that prevent correct limb and facial muscular responses. In this paper, we introduce the mouse cursor control system for Amyotrophic Lateral Sclerosis patients using electrooculogram signals. Using this mouse cursor control system, those patients could have a simple check for dementia which may be caused by Amyotrophic Lateral Sclerosis as its complication. We propose the algorithm using alternating current and direct current of electrooculogram signals corresponding to the baseline drift problem. The focus of our proposal system was laid on noise, baseline drift and eye blink artifact removal. In order to test the effectiveness of our proposal system, we tried the experiments of the Revised Hasegawa Dementia Scale (HDS-R) task using our proposal system.