Monitoring of patients suffering from REM sleep behavior disorder

Xiaodong Yang, Syed Shah, Aifeng Ren, Nan Zhao, Jianxun Zhao, Fangming Hu, Zhiya Zhang, Wei Zhao, Masood Ur-Rehman, Akram Alomainy

Research output: Contribution to journalArticle

18 Citations (Scopus)

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 …
Original languageEnglish
Pages (from-to)138 - 143
Number of pages6
JournalIEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology …
Volume2
Issue number2
DOIs
Publication statusPublished - 16 Apr 2018
Externally publishedYes

Keywords

  • Rapid eye movement (REM)
  • REM behavior sleep disorder (RBD)
  • wireless sensing

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