• Dementia and Neurocognitive Disorders
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• v.23 no.3
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• pp.117-126
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• 2024

Background and Purpose: The Korean-Mini Mental State Examination, 2nd edition (K-MMSE~2) was recently released. This study aimed to determine whether the K-MMSE~2: Standard Version (K-MMSE~2:SV) had the same test characteristics as the K-MMSE. Methods: A total of 1,514 healthy community-based participants aged 19 to 90 years were administered the K-MMSE~2:SV Blue Form along with the language items from the K-MMSE. The item and test characteristics and test information for the K-MMSE~2:SV and K-MMSE were compared using Item Response Theory analysis. Results: Item discriminations for the K-MMSE~2:SV and K-MMSE were above the moderate range for all items except Recall. Most of the items on the K-MMSE~2:SV and K-MMSE had item category difficulty in the very easy or easy range. The test information curve (TIC) showed that the K-MMSE~2:SV and K-MMSE provide almost the same amount of information (27.86 vs. 28.44), with both tests providing the most information at an ability level of -1.57. The generalizability (G) coefficient for the K-MMSE~2:SV and K-MMSE was 0.99. Conclusions: These results indicate that the K-MMSE~2:SV and K-MMSE are equally optimal tests for screening for mild cognitive impairment and early dementia. Given that the amount of test information provided by the two tests was almost identical, the shapes of the TICs were very similar, and the G coefficient was close to 1, we can conclude that the K-MMSE and K-MMSE~2:SV are equivalent tests.

• The Korean Journal of Rehabilitation Nursing
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• v.7 no.2
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• pp.179-187
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• 2004

Purpose: This study was performed to assess the degree of cognitive function of elderly by MMSE-K performances and of that effect. Method: The subjects were 185 aged over 65 in Daejeon Metropolitan city. Data were collected through personal interview using the questionnaire from 10 to 31, Jan. 2003. The measures were Korean version of Mini-Mental State Examination(MMSE-K). Results: The mean score of MMSE-K was $22.60{\pm}5.39$. The prevalence of cognitive impairment was estimated as 48.6% by MMSE-K ${\leq}23$ and significantly age, gender, and education effect. The subtype score of MMSE-K were significantly lower in female group in each items : orientation in time and place, attention/calculation, language except registration and recall. And the scores were significantly lower in the older group and non-educated group in the all items of MMSE-K. Conclusion: Gender, age, and education showed significant effects on total and subtype MMSE-K score. Cognitive function decline were higher in female, older age group, and non-educated group. Therefore, those three factors are thought to be one of important risk factors for development of dementia, also it is assumed to be affected by other variables than age, gender, education effect.

• Korean Journal of Biological Psychiatry
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• v.12 no.2
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• pp.98-106
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• 2005

Objectives:Donepezil is a widely used drug for the treatment of patients with Alzheimer's disease(AD). The aim of the present study was to clarify the efficacy and the characteristics of responders to donepezil. Methods:Patients with probable AD(n=80;75.7 years) and small vessel dementia(SVD)(n=18;77.8 years) who received donepezil were retrospectively analyzed using Alzheimer's registry, and three questions were asked:1) Does donepezil therapy improves cognitive symptoms in patients with dementia? 2) If donepezil improves cognitive symptoms, which items of the K-MMSE are improved? 3) What are the characteristics of responder to donepezil medication? Results:1) After donepezil medication, cognitive function measured by the K-MMSE was significantly improved in both types of dementia(AD and SVD), However, statistical differences were not found between these groups. 2) In a clinical trial of donepezil, the patients performed better than before mediation on K-MMSE items assessing orientation, recall, construction, concentration, calculation. 3) In AD, the K-MMSE score before medication was closely related with response of donepezil. Conclusion:This study suggests that donepezil improves various cognitive functions in both types of dementia, and the responsive group had significantly lower K-MMSE scores than the non-responsive group before medication.

• Dementia and Neurocognitive Disorders
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• v.22 no.2
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• pp.69-77
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• 2023

Background and Purpose: The Montreal Cognitive Assessment (MoCA) has been known as a screening test for detecting mild cognitive impairment (MCI) better than Mini-Mental State Examination (MMSE). However, in previous domestic studies, no significant difference was found in the discriminability between MoCA and MMSE. Researchers have suggested that this might be because older Koreans are less educated than older Westerners. This study was conducted to examine the effect of education on the discriminability of MoCA compared to the MMSE. Methods: Participants were 123 cognitively normal elderly, 118 with vascular MCI, 108 with amnestic MCI, 121 with vascular dementia, and 113 with dementia of the Alzheimer's type. The Korean-MoCA (K-MoCA) and Korean-MMSE (K-MMSE) were administered. Multiple regression analyses and receiver operating characteristic (ROC) curve analyses were performed. Results: In all participants, education significantly affected both K-MoCA and K-MMSE scores along with age. The effect of education was re-examined by subgroup analysis after dividing subjects according to the level of education. Effect of education on K-MoCA and K-MMSE was only shown in the group with <9 years of education. ROC curve analyses revealed that the discriminability of K-MoCA to differentiate between vascular MCI and normal elderly was significantly higher than that of K-MMSE. When re-examining subgroups divided by education level, however, this higher discriminability of K-MoCA disappeared in the group with <9 years of education. Conclusions: These results indicate no difference in discriminating cognitive deficits between K-MoCA and K-MMSE in Korean elderly with <9 years of education.

• Journal of Advanced Navigation Technology
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• v.15 no.3
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• pp.392-404
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• 2011

In this paper, we address the issue of joint detection schemes for uplink cellular system when base station cooperation is possible for multi-user detection in multi-cell scenario. The ZF, ML, MMSE and SIC detection are analyzed and evaluated as a conventional scheme. ML attains the optimal performance but the complexity increases exponentially, ZF/MMSE have simple structure but have poor detection performance and SIC has better performance but it has large complexity and potential of the error propagation. However, they need the increased decoder complexity as the number of iteration is increased. We propose a new joint ML and ZF/MMSE detection scheme, which combines the partial ML decoding and ZF/MMSE detection, in order to decrease the decoder complexity. Simulation results show that the proposed scheme attains same or a little bit better BER performance and expect reduced decoder complexity, specially in the case of large number of Base Station are cooperated each other.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39A no.9
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• pp.566-568
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• 2014

In this letter, an MMSE based iterative soft decision interference cancellation scheme for massive MIMO systems is proposed. To reduce the complexity, the proposed scheme uses the Sherman-Morrison-Woodbury formula to compute the entire MMSE filtering vectors in one iteration by one matrix inverse operation. Simulation results show that the proposed scheme also has a comparable BER to the conventional scheme for massive MIMO systems.

• Journal of Korean society of Dental Hygiene
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• v.16 no.2
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• pp.295-301
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• 2016

Objectives: The purpose of the study was to investigate the association between denture wearing and dementia using a Mini-Mental State Examination (MMSE-K) in the community dwelling elderly. Methods: The study subjects were 184 community dwelling elderly using Korean version of mini-mental state examination(MMSE-K). The variables included the general characteristics of the subjects, denture earing, number of mastication tooth, subjective mastication ability, and MMSE(dementia). Denture wearing was divided into two groups of the natural dentition including the fixed prosthesis and removable denture including the complete and/or partial denture. The data were analyzed by ${\chi}^2$ test, t-test, and binary logistic regression using SPSS version 22.0 program. Logistic regression was used to analyze the association of MMSE-K score and denture wearing, and 95% confidence interval was calculated. The subjective mastication ability was measured by Likert 5 points scale. Dementia was measured by MMSE-K. Results: There was a significant association between MMSE-K score and denture wearing. The odds ratio(OR) of denture waering was 6.01(95% CI: 2.824-12.784). After adjusting the age, gender, residence and education, OR was 5.53(95% CI: 2.364-12.935). Conclusions: This study showed a significant association between MMSE-K score and denture wearing in the Korean elderly.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.6
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• pp.44-51
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• 1999

The HMM-Net is a neural network architecture that implements the computation of output probabilities of a hidden Markov model (HMM). The architecture is developed for the purpose of combining the discriminant power of neural networks with the time-domain modeling capability of HMMs. Criteria of maximum likehood(ML) and minimization of mean squared error(MMSE) are used for learning HMM-Net classifiers. The criterion MMSE is better than ML when initial learning condition is well established. However Ml is more useful one when the condition is incomplete[3]. Therefore we propose an efficient learning method of HMM-Net classifiers using a hybrid criterion(ML/MMSE). In the method, we begin a learning with ML in order to get a stable start-point. After then, we continue the learning with MMSE to search an optimal or near-optimal solution. Experimental results for the isolated numeric digits from /0/ to /9/, a training and testing time-series pattern set, show that the performance of the proposed method is better than the others in the respects of learning and recognition rates.

• IEIE Transactions on Smart Processing and Computing
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• v.3 no.1
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• pp.35-39
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• 2014

This paper proposes a Modified Minimum Mean Square Error (M-MMSE) estimator for an Orthogonal Frequency Division Multiplexing (OFDM) System over fast fading Rayleigh channel. The proposed M-MMSE estimator considered the effects of the efficient placement of pilots based on the channel energy distribution. The pilot symbols were placed in a non-linear manner according to the density of the channel energy. Comparative analysis of the MMSE estimator for a comb-type pilot arrangement and M-MMSE estimator for the proposed pilot insertion scheme revealed significant performance improvement of the M-MMSE estimator over the MMSE estimator.

• International Journal of Contents
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• v.5 no.3
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• pp.86-90
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• 2009

The Purpose of this study was to investigate correlations between the Mini-Mental State Examination (MMSE) and the Functional Independence Measure (FIM) in strokes. The data collected retrospectively from fifty-five stroke rehabilitation patients. The MMSE and FIM at the time of admission and discharge were obtained from patients' medical records. Firstly, Pearson correlation coefficients of the MMSE score at the time of admission revealed $0.286{\sim}0.747$ with FIM at the time of discharge (p<0.05). Also, the change of MMSE score significantly correlated with the change of total FIM scores in strokes (r=0.409, p<0.05). Because the MMSE scores at the time of admission and FIM at the time of discharge are correlated, the MMSE scores can be used to predict the FIM at the time of discharge and establish a rehabilitation program.