Development of an Easy-to-Follow Application for Evaluation of Very Early Stage Cognitive Decline

DOI
  • Goda Akio
    Department of Physical Therapy, Faculty of Health Science, Kyoto Tachibana University
  • Shimura Takaki
    BME Research Laboratory, Sosei Ltd.
  • Ohshiro Hajime
    Totoumi Hospital
  • Murata Shin
    Department of Physical Therapy, Faculty of Health Science, Kyoto Tachibana University
  • Abiko Teppei
    Department of Physical Therapy, Faculty of Health Science, Kyoto Tachibana University
  • Miyachi Ryo
    Department of Physical Therapy, Faculty of Health Science, Kyoto Tachibana University
  • Ohsugi Hironori
    Department of Physical Therapy, Faculty of Social Work Studies, Josai International University
  • Okuyama Eriko
    Hamamatsu Human Research Lab Ltd.

Bibliographic Information

Other Title
  • 簡便に実施可能な超早期の認知機能低下を検出するアプリケーションの開発（第一報）

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Description

<p>Dementia is associated with several social issues, and its prevention warrants urgent attention. Preventive interventions are effective when implemented in the pre-clinical stage of dementia (PCSD); therefore, early detection of PCSD is essential. We developed the color Kanji Pick-out Test (CKPT), a neuropsychological test to diagnose PCSD. However, there are several issues associated with the questionnaire version of the CKPT, which precludes widespread use. In an attempt to overcome these difficulties, we designed the CKPT application that can easily be administered by any individual using a common tablet device, which displays the results immediately. We are engaged in improving this application further to ensure that the orientation of the test, control of the measurement time, scoring, and feedback of the results can be performed automatically. We present an overview of the CKPT application that is currently being developed, together with its prospective uses.</p>

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Details 詳細情報について

  • CRID
    1390289765041384064
  • NII Article ID
    130008105081
  • DOI
    10.11239/jsmbe.annual59.131
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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