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 language | English |
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Pages (from-to) | 138 - 143 |
Number of pages | 6 |
Journal | IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology … |
Volume | 2 |
Issue number | 2 |
DOIs | |
Publication status | Published - 16 Apr 2018 |
Externally published | Yes |
Keywords
- Rapid eye movement (REM)
- REM behavior sleep disorder (RBD)
- wireless sensing