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All Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Rakhma, Ukhti Alifah Aulia
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology

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Communication Prototype for Post-Stroke Patients Using Electrooculography (EOG) Rakhma, Ukhti Alifah Aulia; Loniza, Erika; Kartika, Wisnu
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 1 (2024): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/p66tf905

Abstract

Background this prototype is intended for post-stroke patients experiencing disabilities in their daily activities, particularly in communication with others. The challenge they face is difficulty in communication, leading to a diminished quality of life for post-stroke patients. The purpose of innovating this communication aid prototype is to facilitate communication between post-stroke patients and caregivers. The method employed in the post-stroke communication aid prototype utilizes Electrooculography (EOG) signals generated from eye muscle movements during eye gazes, captured by the MaM Sense sensor. The variation in Analog-to-Digital Converter (ADC) values in the MaM Sense sensor is exploited to produce various forms of EOG signals. The resultant command signals from this method are processed by a microcontroller and displayed on a 20 x 4 Character LCD. Testing was conducted on 9 healthy individuals, comprising 5 males and 4 females. To ensure the prototype's functionality, testing was also performed on 1 post-stroke patient. The success rate of MaM Sense sensor readings was 80.5% for the 4 communication modes employed, involving 4 eye gaze movements: right gaze, left gaze, upward gaze, and downward gaze. Thus, the post-stroke communication aid prototype proves effective in assisting communication for post-stroke patients and aiding caregivers in understanding the patients' desires. In the future, a wireless system may be implemented for the acquisition of EOG signals attached to the face to minimize the use of cables.
Co-Authors Loniza, Erika Wisnu Kartika, Wisnu