Monitoring of patients suffering from REM sleep behavior disorder
Authors
Yang, XiaodongShah, Syed Aziz
Ren, Aifeng
Zhao, Nan
Zhao, Jianxun
Hu, Fangming
Zhang, Zhiya
Zhao, Wei
Ur-Rehman, Masood
Alomainy, Akram
Issue Date
2018-04-16
Metadata
Show full item recordAbstract
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.Citation
Yang X, Shah S, Ren A, Zhao N, Zhao J, Hu F, Zhang Z, Zhao W, Rehman M, Alomainy A (2018) 'Monitoring of patients suffering from REM sleep behavior disorder', IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 2 (2), pp.138-143.Additional Links
https://ieeexplore.ieee.org/document/8338401/Type
ArticleLanguage
enISSN
2469-7249EISSN
2469-7249ae974a485f413a2113503eed53cd6c53
10.1109/JERM.2018.2827705