Wandering Pattern Sensing at S-Band

Yang, Xiaodong, Shah, Syed Aziz ORCID: https://orcid.org/0000-0003-2052-1121, Ren, Aifeng, Zhao, Nan, Fan, Dou, Hu, Fangming, Ur Rehman, Masood, von Deneen, Karen M and Tian, Jie (2018) Wandering Pattern Sensing at S-Band. IEEE Journal of Biomedical and Health Informatics, 22 (6). pp. 1863-1870. ISSN 2168-2194

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Official URL: https://ieeexplore.ieee.org/document/8240600

Abstract

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

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	02 Jan 2020 11:20
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Additional Information:	© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Faculties > Science and Engineering
Subject terms:	S-Band sensing, wandering patterns, dementia, Humans, Dementia, Monitoring, Ambulatory, Walking, Calibration, Signal Processing, Computer-Assisted, Wandering Behavior, Support Vector Machine, Calibration, Dementia, Humans, Monitoring, Ambulatory, Signal Processing, Computer-Assisted, Support Vector Machine, Walking, Wandering Behavior
URI:	https://e-space.mmu.ac.uk/id/eprint/624419
DOI:	https://doi.org/10.1109/jbhi.2017.2787595
ISSN	2168-2194
e-ISSN	2168-2208

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