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Monitoring of patients suffering from REM sleep behavior disorder

  • Xiaodong Yang
    ,
  • Syed Aziz Shah
    ,
  • Aifeng Ren
    ,
  • Nan Zhao
    ,
  • Jianxun Zhao
    ,
  • Fangming Hu
  • Xidian University
    ,
  • Queen Mary University of London
Research Output: Contribution to journal Article Peer-review

Abstract

Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia that involves involuntary, unwanted, and random movements of a dreaming patient. Typically, these dreams contain violent activities. There is a high likelihood of the patient being injured or hurting his bed-partner as a result of these enactments. Continuous monitoring of sleeping RBD patients can prevent these harmful events through timely intervention. This paper presents a novel method for continuous observation of RBD patients exploiting fine-grained amplitude and phase information of the wireless channel response. The variations in the wireless channel response as a result of different patient movements are assessed and used to identify RBD episodes. The data obtained are classified using a support vector machine and deliver an accuracy level of more than 90%. To the best of authors' knowledge, this is a first attempt at using radio frequency signals to sense RBD in real time.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 138-143

Journal (Volume, Issue Number)

IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology (Volume 2, Issue 2)

Publication milestones

  • Published - 16/04/2018

Publication status

Published - 16/04/2018

External Publication IDs

  • handle.net: 10547/624324
  • Scopus: 85055370792

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