scholarly journals Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly

2021 ◽  
Author(s):  
Zixiang Fei ◽  
Erfu Yang ◽  
Leijian Yu ◽  
Xia Li ◽  
Huiyu Zhou ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Automatic Detection ◽  
The Elderly ◽  
Emotion Analysis ◽  
Deep Convolution Network

Easy Screening for Mild Alzheimer's Disease and Mild Cognitive Impairment from Elderly Speech

2018 ◽  
Vol 15 (2) ◽  
pp. 104-110 ◽  
Author(s):  
Shohei Kato ◽  
Akira Homma ◽  
Takuto Sakuma
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Characteristic Curve ◽  
Linear Regression Analysis ◽  
Speech Sound ◽  
The Elderly ◽  
Speech Sounds ◽  
Mel Frequency Cepstral Coefficients

Objective: This study presents a novel approach for early detection of cognitive impairment in the elderly. The approach incorporates the use of speech sound analysis, multivariate statistics, and data-mining techniques. We have developed a speech prosody-based cognitive impairment rating (SPCIR) that can distinguish between cognitively normal controls and elderly people with mild Alzheimer's disease (mAD) or mild cognitive impairment (MCI) using prosodic signals extracted from elderly speech while administering a questionnaire. Two hundred and seventy-three Japanese subjects (73 males and 200 females between the ages of 65 and 96) participated in this study. The authors collected speech sounds from segments of dialogue during a revised Hasegawa's dementia scale (HDS-R) examination and talking about topics related to hometown, childhood, and school. The segments correspond to speech sounds from answers to questions regarding birthdate (T1), the name of the subject's elementary school (T2), time orientation (Q2), and repetition of three-digit numbers backward (Q6). As many prosodic features as possible were extracted from each of the speech sounds, including fundamental frequency, formant, and intensity features and mel-frequency cepstral coefficients. They were refined using principal component analysis and/or feature selection. The authors calculated an SPCIR using multiple linear regression analysis. Conclusion: In addition, this study proposes a binary discrimination model of SPCIR using multivariate logistic regression and model selection with receiver operating characteristic curve analysis and reports on the sensitivity and specificity of SPCIR for diagnosis (control vs. MCI/mAD). The study also reports discriminative performances well, thereby suggesting that the proposed approach might be an effective tool for screening the elderly for mAD and MCI.

scholarly journals Mild Cognitive Impairment in Clinical Practice: A Review Article

2018 ◽  
Vol 33 (8) ◽  
pp. 500-507 ◽  
Author(s):  
Sukanya Jongsiriyanyong ◽  
Panita Limpawattana
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Preventive Intervention ◽  
Lifestyle Modification ◽  
The Elderly ◽  
Vascular Cognitive Impairment ◽  
Review Article ◽  
Subjective Cognitive Impairment ◽  
Rate Of Progression

The spectrum of cognitive decline in the elderly ranges from what can be classified as normal cognitive decline with aging to subjective cognitive impairment to mild cognitive impairment (MCI) to dementia. This article reviewed the up-to-date evidence of MCI including the diagnostic criteria of MCI due to Alzheimer’s disease, vascular cognitive impairment and MCI due to Parkinson disease, management and preventive intervention of MCI. There are various etiologies of MCI, and a large number of studies have been conducted to ascertain the practical modalities of preserving cognition in predementia stages. Lifestyle modification, such as aerobic exercise, is an approved modality to preserve cognitive ability and decrease the rate of progression to dementia, as well as being recommended for frailty prevention.

scholarly journals Mild cognitive impairment in the elderly Relationship between communication and functional capacity

2018 ◽  
Vol 12 (2) ◽  
pp. 165-172 ◽  
Author(s):  
Ana Iza Gomes da Penha Sobral ◽  
Cláudia Marina Tavares de Araújo ◽  
Marcos Felipe Falcão Sobral
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Activities Of Daily Living ◽  
Elderly People ◽  
Communication Skills ◽  
Social Communication ◽  
Daily Living ◽  
The Elderly ◽  
Intermediate Form ◽  
Instrumental Activities

Abstract Mild Cognitive Impairment is characterized as an intermediate form between age-related change and dementia. For the elderly, autonomy and independence are related to the ability to remain active in conducting their social activities and, for this to occur, communication is fundamental in this process. Objective: To assess the association between communication and the abilities of elderly people with mild cognitive impairment to perform instrumental activities of daily living. Methods: A cross-sectional, quantitative, analytical, correlational study was conducted at the Open University of the Third Age (UnATI), a program of the Federal University of Pernambuco. This study included 92 people, comprising 46 elderly with mild cognitive impairment and a caregiver or family member who met the inclusion criteria. The elderly were asked to complete a sociodemographic questionnaire and Lawton-Brody’s Instrumental Activities of Daily Living Scale. The caregivers were asked to complete the Functional Assessment of Communication Skills. The following variables were studied: social communication skills and instrumental activities of daily living. Data were stored in an Excel® 2007 spreadsheet, and the Pearson correlation test was used for the statistical analysis. Results: There were statistically significant correlations in four domains of social communication: referring to family members by name (p=0.0033); requesting information about people or events (p=0.0355); understanding conversations in a noisy environment (p=0.0448); and understanding what they watch on television or listen to on the radio (p=0.0127). Conclusion: Changes in the communication of elderly people with mild cognitive impairment interfere with their ability to perform instrumental activities autonomously and independently.

scholarly journals Effects of health education in the elderly with mild cognitive impairment

2018 ◽  
Vol 71 (suppl 2) ◽  
pp. 801-810 ◽  
Author(s):  
Francine Golghetto Casemiro ◽  
Diana Monteiro Quirino ◽  
Maria Angélica Andreotti Diniz ◽  
Rosalina Aparecida Partezani Rodrigues ◽  
Sofia Cristina Iost Pavarini ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Health Education ◽  
The Elderly ◽  
Anxiety Symptoms ◽  
Control Group ◽  
Controlled Clinical Trial ◽  
Cognitive State ◽  
Paired Samples ◽  
Education Group

ABSTRACT Objective: to analyze the effects of health education on both cognition and depressive/anxiety symptoms in the elderly with Mild Cognitive Impairment (MCI). Method: this is a randomized and controlled clinical trial. Participants (n=22) were recruited from a specialized outpatient clinic, and assigned into two groups: a Health Education Group (HEG) (n=10) and a Control Group (CG) (n=12). The participants were evaluated before and after the intervention, which was composed of classes and dynamics. The intervention consisted of 20 meetings, over a period of five months. The assessment was performed by means of the Addenbrooke’s Cognitive Examination – Revised (ACER), the Mini-Mental State Examination to access participant’s cognitive state, and the Beck’s Scale to access depressive/anxiety symptoms. A Memory Complaints Scale (EQM) was also used. The analysis was carried out using the Student’s t test for paired samples. Results: the HEG group demonstrated an improvement in attention/orientation (p= 0,026), memory (p=0.001), language (p= 0.033), and ACE-R (p= 0.003). On the other hand, the CG did not present improvement. Conclusion: the results highlight the importance of non-pharmacological interventions in older adults with MCI to reduce cognitive deficits.

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