Evaluation of Novel Cognitive Assessment System for Testing Visual Memory of the Elderly

Chih-Lung Lin; Ting-Ching Chu; Meng-Hsuan Wu; Ming-Yang Deng; Wen-Ching Chiu; Chien-Hsu Chen; Pi-Shan Sung; Wen-Lung Tsao; Tsung-Chih Lin

doi:10.1109/ACCESS.2021.3065684

IEEE Access (Jan 2021)

Evaluation of Novel Cognitive Assessment System for Testing Visual Memory of the Elderly

Chih-Lung Lin,
Ting-Ching Chu,
Meng-Hsuan Wu,
Ming-Yang Deng,
Wen-Ching Chiu,
Chien-Hsu Chen,
Pi-Shan Sung,
Wen-Lung Tsao,
Tsung-Chih Lin

Affiliations

Chih-Lung Lin: ORCiD; Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
Ting-Ching Chu: ORCiD; Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
Meng-Hsuan Wu: ORCiD; Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
Ming-Yang Deng: ORCiD; Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
Wen-Ching Chiu: Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
Chien-Hsu Chen: ORCiD; Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan
Pi-Shan Sung: Department of Neurology, National Cheng Kung University Hospital, Tainan, Taiwan
Wen-Lung Tsao: Department of Neurology, Dalin Buddhist Tzu Chi Hospital, Chiayi, Taiwan
Tsung-Chih Lin: Department of Electronic Engineering, Feng Chia University, Taichung, Taiwan

DOI: https://doi.org/10.1109/ACCESS.2021.3065684
Journal volume & issue: Vol. 9
pp. 47330 – 47337

Abstract

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With the development of such technologies as embedded systems, cloud databases and hardware components, detection of cognitive in the elderly can be made more convenient and accurate. This work develops a novel cognitive assessment interactive embedded system, which consists of a micro-controller unit (MCU), organic light-emitting diode (OLED) modules and a client identification circuit. The reliability of the proposed system is demonstrated in visuospatial memory tests. With its combination of OLED modules and pressable components, the elderly can use the system to perform testing under a flashing light source sequence with tactile feedback. To identify the various pattern arrangements in the Corsi block tapping task (CBTT), the client identification circuit in the proposed system is implemented to compute the number of OLED lighting devices on each column of the wooden base. The data that are collected from each subject will be transferred to cloud servers through a smart phone APP via wireless networks to eliminate recording errors by the experimenter. The functionality of the spatial working memory is verified in experiments that involve the proposed OLED, a computerized version of the CBTT, and 24 participants. Experimental results reveal that the difference in memory span between young and elderly groups is significant, F(1, 92) = 214, p<0.001, indicating the feasibility of the proposed system in spatial working memory detection.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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