Authors
Yang, XiaodongShah, Syed Aziz
Ren, Aifeng
Zhao, Nan
Fan, Dou
Hu, Fangming
Ur-Rehman, Masood
von Deneen, Karen M.
Tian, Jie
Issue Date
2017-12-27
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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.Citation
Yang X, Shah S, Ren A, Zhao N, Fan D, Hu F, Ur Rehman M, Vondeneen K, Tian J (2018) 'Wandering pattern sensing at S-band', IEEE Journal of Biomedical and Health Informatics, 22 (6), pp.1863-1870.Additional Links
https://ieeexplore.ieee.org/document/8240600Type
ArticleLanguage
enISSN
2168-2194ae974a485f413a2113503eed53cd6c53
10.1109/JBHI.2017.2787595
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