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

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

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Article number	9376858
Pages (from-to)	47330-47337
Number of pages	8
Journal	IEEE Access
Volume	9
DOIs	https://doi.org/10.1109/ACCESS.2021.3065684
Publication status	Published - 2021

All Science Journal Classification (ASJC) codes

General Computer Science
General Materials Science
General Engineering

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10.1109/ACCESS.2021.3065684

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title = "Evaluation of Novel Cognitive Assessment System for Testing Visual Memory of the Elderly",

abstract = "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.",

author = "Lin, {Chih Lung} and Chu, {Ting Ching} and Wu, {Meng Hsuan} and Deng, {Ming Yang} and Chiu, {Wen Ching} and Chen, {Chien Hsu} and Sung, {Pi Shan} and Tsao, {Wen Lung} and Lin, {Tsung Chih}",

note = "Funding Information: This work was supported in part by the Center of Advanced Biomedical System, National Cheng Kung University, Tainan, Taiwan, and in part by the Ministry of Science and Technology of Taiwan under Project MOST 109-2224-E-006-001 and Project MOST 107-2221-E-006-188-MY3. Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2021",

doi = "10.1109/ACCESS.2021.3065684",

language = "English",

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pages = "47330--47337",

journal = "IEEE Access",

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T1 - Evaluation of Novel Cognitive Assessment System for Testing Visual Memory of the Elderly

AU - Lin, Chih Lung

AU - Chu, Ting Ching

AU - Wu, Meng Hsuan

AU - Deng, Ming Yang

AU - Chiu, Wen Ching

AU - Chen, Chien Hsu

AU - Sung, Pi Shan

AU - Tsao, Wen Lung

AU - Lin, Tsung Chih

N1 - Funding Information: This work was supported in part by the Center of Advanced Biomedical System, National Cheng Kung University, Tainan, Taiwan, and in part by the Ministry of Science and Technology of Taiwan under Project MOST 109-2224-E-006-001 and Project MOST 107-2221-E-006-188-MY3. Publisher Copyright: © 2013 IEEE.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

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

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