A New Smart 2-Min Mobile Alerting Method for Mild Cognitive Impairment Due to Alzheimer’s Disease in the Community

Yujia Wang, Tong Chen, Chen Wang, Atsushi Ogihara, Xiaowen Ma, Shouqiang Huang, Siyu Zhou, Shuwu Li, Jiakang Liu, Kai Li*

*この研究の対応する著者

研究成果: Article査読

抄録

The early identification of mild cognitive impairment (MCI) due to Alzheimer’s disease (AD), in an early stage of AD can expand the AD warning window. We propose a new capability index evaluating the spatial execution process (SEP), which can dynamically evaluate the execution process in the space navigation task. The hypothesis is proposed that there are neurobehavioral differences between normal cognitive (NC) elderly and AD patients with MCI reflected in digital biomarkers captured during SEP. According to this, we designed a new smart 2-min mobile alerting method for MCI due to AD, for community screening. Two digital biomarkers, total mission execution distance ((Formula presented.)) and execution distance above the transverse obstacle ((Formula presented.)), were selected by step-up regression analysis. For the participants with more than 9 years of education, the alerting efficiency of the combination of the two digital biomarkers for MCI due to AD could reach 0.83. This method has the advantages of fast speed, high alerting efficiency, low cost and high intelligence and thus has a high application value for community screening in developing countries. It also provides a new intelligent alerting approach based on the human–computer interaction (HCI) paradigm for MCI due to AD in community screening.

本文言語English
論文番号244
ジャーナルBrain Sciences
13
2
DOI
出版ステータスPublished - 2023 2月

ASJC Scopus subject areas

  • 神経科学(全般)

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