Early detection system of senile dementia by analyzing behavioral data of actual patients

Yuki Abe, Maher Aljehani, Masahiro Inoue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

If dementia is detected at an early stage, the progress of disease can be slowed. Accordingly early detection of dementia is important. We proposed a system which detects suspicion of dementia at an early stage of the disease for the elderly people living alone. In this study, we obtain behavioral data of actual dementia patients. Then, we create evaluation methods and analytical method from behavioral data of actual dementia patients. In the evaluation, we evaluate adequacy of analytical method in environment by pseudo patients with dementia.

Original languageEnglish
Title of host publication2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-157
Number of pages4
ISBN (Electronic)9784907764487
DOIs
Publication statusPublished - 2015 Sep 30
Event54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China
Duration: 2015 Jul 282015 Jul 30

Other

Other54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
CountryChina
CityHangzhou
Period15/7/2815/7/30

Keywords

  • Dementia
  • Elderly People
  • Healthcare
  • Home Network
  • Sensor Network

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Abe, Y., Aljehani, M., & Inoue, M. (2015). Early detection system of senile dementia by analyzing behavioral data of actual patients. In 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 (pp. 154-157). [7285306] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SICE.2015.7285306