A Fuzzy System for Forecasting Mild Cognitive Impairment

Liu, Cheng-Li; Chuang, Che-Jen; Su, Kuo-Wei

doi:10.1007/978-3-031-39777-6_84

Lecture Notes in Networks and Systems

2023

DOI: 10.1007/978-3-031-39777-6_84

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A Fuzzy System for Forecasting Mild Cognitive Impairment

Cheng-Li Liu

Che-Jen Chuang

Kuo-Wei Su

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“…Figure 1.Relationship between eight major mild cognitive impairment tests (circle mark) and human information processing functions (square mark)[30].…”

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confidence: 99%

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A Pilot Fuzzy System with Virtual Reality for Mild Cognitive Impairment forecasting

Liu¹,

Chuang²,

Chou³

2023

Preprint

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Mild cognitive impairment (MCI) is when brain function declines. It is a transition stage between normal aging and Alzheimer's disease (AD) and may be an underlying symptom of AD. Improper use of test instruments or imperfect test methods in clinical practice often leads to variations in test results. In addition, there may be resistance from the subject if he/she has to undergo multiple screening tests simultaneously. Therefore, the objective of this study was to use virtual reality to create an image testing scenario that integrates Mini-Cog, Short Portable Mental Status Questionnaire (SPMSQ), Mini-mental Status Examination (MMSE), Saint Louis University Mental Status Examination (SLUMS), Clinical Dementia Rating (CDR), and Cognitive Abilities Screening Instrument (CASI), and combine fuzzy logic control (FLC) technology to develop an MCI forecasting system. There were 24 middle-aged to older adults aged 50 to 65 years who participated in the evaluation experiment. The results showed that the MCI forecasting system developed in this study is highly correlated with the traditional screening tests, including Mini-Cog, SPMSQ, MMSE, SLUMS, and CASI. The forecasting system can provide an integrated reference score for testers in making judgments. In addition, the distribution of the System Usability Scale (SUS) evaluation scores for the MCI forecasting system revealed that 87.5% were grade C (good to use) or above, and 29.2% were grade B (extremely good to use) or above. The forecasting system receives positive feedback from the subjects.

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“…Figure 1.Relationship between eight major mild cognitive impairment tests (circle mark) and human information processing functions (square mark)[30].…”

mentioning

confidence: 99%

“…Figure 9. When entering the memory test, two questions need to be completed: object shape and image connection and object color and image connection: (a) Object shape and image connection: a fruit drawing appears for 5 s before disappearing; (b) a fruit list appears and the subject must select the fruit that had just appeared[30].…”

mentioning

confidence: 99%

A Pilot Fuzzy System with Virtual Reality for Mild Cognitive Impairment forecasting

Liu¹,

Chuang²,

Chou³

2023

Preprint

View full text Add to dashboard Cite

show abstract

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A Fuzzy System for Forecasting Mild Cognitive Impairment

Cited by 1 publication

References 6 publications

A Pilot Fuzzy System with Virtual Reality for Mild Cognitive Impairment forecasting

A Pilot Fuzzy System with Virtual Reality for Mild Cognitive Impairment forecasting

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