Skip to search boxSkip to navigationSkip to main content

Wandering pattern sensing at S-band

  • Xiaodong Yang
    ,
  • Syed Aziz Shah
    ,
  • Aifeng Ren
    ,
  • Nan Zhao
    ,
  • Dou Fan
    ,
  • Fangming Hu
  • Xidian University
    ,
  • CAS - Institute of Automation
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

Increasing prevalence of dementia has posed several challenges for care-givers. Patients suffering from dementia often display wandering behavior due to boredom or memory loss. It is considered to be one of the challenging conditions to manage and understand. Traits of dementia patients can compromise their safety causing serious injuries. This paper presents investigation into the design and evaluation of wandering scenarios with patients suffering from dementia using an S-band sensing technique. This frequency band is the wireless channel commonly used to monitor and characterize different scenarios including random, lapping, and pacing movements in an indoor environment. Wandering patterns are characterized depending on the received amplitude and phase information of that measures the disturbance caused in the ideal radio signal. A secondary analysis using support vector machine is used to classify the three patterns. The results show that the proposed technique carries high classification accuracy up to 90% and has good potential for healthcare applications.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1863-1870

Journal (Volume, Issue Number)

IEEE Journal of Biomedical and Health Informatics (Volume 22, Issue 6)

Publication milestones

  • Published - 27/12/2017

Publication status

Published - 27/12/2017

ISSN

2168-2194

External Publication IDs

  • handle.net: 10547/623803
  • Scopus: 85040044310

Access to documents

Publication metrics

Metrics

Download statistics
Download count
13