Automatic analysis of Categorical Verbal Fluency for Mild Cognitive impartment detection: A non-linear language independent approach

机译：轻度认知能力检测的分类语言流利性自动分析：一种非线性语言独立方法

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Alzheimer's disease (AD) is one of the main causes of dementia in the world and the patients develop severe disability and sometime full dependence. In previous stages Mild Cognitive Impairment (MCI) produces cognitive loss but not severe enough to interfere with daily life. This work, on selection of biomarkers from speech for the detection of AD, is part of a wide-ranging cross study for the diagnosis of Alzheimer. Specifically in this work a task for detection of MCI has been used. The task analyzes Categorical Verbal Fluency. The automatic classification is carried out by SVM over classical linear features, Castiglioni fractal dimension and Permutation Entropy. Finally the most relevant features are selected by ANOVA test.

机译：阿尔茨海默氏病（AD）是世界上痴呆症的主要原因之一，患者会出现严重的残疾并有时会完全依赖。在以前的阶段，轻度认知障碍（MCI）会导致认知障碍，但严重程度不足以干扰日常生活。这项关于从语音中选择生物标志物以检测AD的工作是广泛交叉研究的一部分，用于诊断阿尔茨海默氏症。具体地，在这项工作中，已经使用了用于检测MCI的任务。该任务将分析分类口语流利度。通过SVM对经典线性特征，Castiglioni分形维数和置换熵进行自动分类。最后，通过ANOVA测试选择最相关的功能。

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《International Work Conference on Bio-inspired Intelligence》|2015年|101-104|共4页
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Lopez-de-Ipina K.; Martinez-de-Lizarduy U.; Barroso N.; Ecay-Torres M.; Martinez-Lage P.; Torres F.; Faundez-Zanuy Marcos;
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Alzheimer's Disease; Automatic speech analysis; Entropy; Fractals; Mild Cognitive Impairment; Non.linear features; automatic selection of features;

机译：阿尔茨海默氏病;自动语音分析;熵;分形;轻度认知障碍;非线性特征;特征的自动选择;

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1. Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency [J] . Liu Chen, Meysam Asgari, Robert Gale, Frontiers in Psychology . 2020,第a期

机译：提高高级年龄的轻度认知障碍评估，具有新的多重特征自动化语言和语言分析的口头流畅
2. Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency [J] . Chen Liu, Asgari Meysam, Gale Robert, Frontiers in Psychology . 2020,第2期

机译：提高高龄年龄的轻度认知障碍评估，具有新的多特征自动化语音和语言分析的口头流畅
3. Semantic Relations in a Categorical Verbal Fluency Test: An Exploratory Investigation in Mild Cognitive Impairment [J] . Quaranta Davide, Piccininni Chiara, Caprara Alessia, Frontiers in Psychology . 2019,第2期

机译：分类言语流畅测试中的语义关系：轻度认知障碍的探索性调查
4. Automatic analysis of Categorical Verbal Fluency for Mild Cognitive impartment detection: A non-linear language independent approach [C] . Lopez-de-Ipina K., Martinez-de-Lizarduy U., Barroso N., International Work Conference on Bio-inspired Intelligence . 2015

机译：轻度认知赋予检测分类口语流畅性自动分析：非线性语言独立方法
5. Automatic Detection of Mild Cognitive Impairment in Older Adults Using Unobtrusive Sensing Technologies. [D] . Akl, Ahmad. 2016

机译：使用不引人注目的传感技术自动检测老年人的轻度认知障碍。
6. Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency [O] . Liu Chen, Meysam Asgari, Robert Gale, 2020

机译：新型的多语言自动语音和语言分析能力提高了对轻度认知障碍的评估
7. Graph analysis of verbal fluency test discriminate between patients with Alzheimer’s disease, Mild Cognitive Impairment and normal elderly controls [O] . Bertola Laiss, Mota Natalia Bezerra, Copelli Mauro, 2014

机译：口语流利度测试的图形分析可区分阿尔茨海默氏病，轻度认知障碍和正常老年人

Automatic analysis of Categorical Verbal Fluency for Mild Cognitive impartment detection: A non-linear language independent approach

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