《中国康复理论与实践》 ›› 2017, Vol. 23 ›› Issue (11): 1346-1350.doi: 10.3969/j.issn.1006-9771.2017.11.022

• 康复工程与辅助技术 • 上一篇    下一篇

基于模糊主成分的老年人语言交流能力综合评估算法

董瑶1, 2, 张雪琳1, 2, 杨鹏1, 2, 赵敏1   

  1. 1.河北工业大学,天津市 300130;
    2.智能康复装置与检测技术教育部工程研究中心,天津市 300130
  • 收稿日期:2017-06-06 出版日期:2017-11-25 发布日期:2017-12-10
  • 通讯作者: 张雪琳。E-mail: 1196018886@qq.com。
  • 作者简介:董瑶(1982-),女,汉族,河北石家庄市人,博士研究生,实验师,主要研究方向:人工智能、老年人能力评估。

Evaluation of Verbal Communication Ability in Old People: An Algorithm Based on Fuzzy Principal Component Analysis

DONG Yao1, 2, ZHANG Xue-lin1, 2, YANG Peng1, 2, ZHAO Min1   

  1. 1. Hebei University of Technology, Tianjin 300130, China;
    2. Engineering Research Center of Rehabilition Device and Detection Technology, Ministry of Education, Tianjin 300130, China
  • Received:2017-06-06 Published:2017-11-25 Online:2017-12-10
  • Contact: ZHANG Xue-lin. E-mail: 1196018886@qq.com

摘要: 目的 探讨定量综合评估老年人语言功能的算法,为养老分级照顾、护理提供基础。方法 2016年3月至2017年5月,来自养老院及医院志愿者50例,通过语言障碍诊治仪提取相关数据,建立模糊综合与主成分定量分析模型,评估老年人语言交流能力等级,与临床评估进行比较。结果 共提取到两个主成分,方差贡献率分别为77.53%和14.12%,累计方差贡献率91.65%。与临床评估结果的符合率≥80%。结论 模糊主成分评估老年人语言交流能力具有可行性。

关键词: 老年, 语言交流能力, 主成分分析, 模糊综合评价法

Abstract: Objective To quantify the results of the assessment of verbal communication ability in old people, to establish a graded nursing service for the senior.Methods From March, 2016 to May, 2017, 50 old volunteers in the nursing home and hospital were assessed the verbal communication ability with language barrier diagnosis and treatment apparatus ZM2.1. The indexes were analyzed with a fuzzy comprehensive and principal component quantitative analysis model, to grade the verbal communicative ability. The results were compared with that of the clinic.Results Two principal components were extracted, with the variance contribution rates of 77.53% and 14.12%, and was cumulative to 91.65%. The consistency was not less than 80% from the results of the clinical assessment.Conclusion It is feasible to quantify the verbal communication ability in the old people with fuzzy principal component analysis.

Key words: aged, verbal communication ability, principal component analysis, fuzzy comprehensive evaluation

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