Yang, X., Shah, S. A. , Ren, A. , Zhao, N., Fan, D., Hu, F., Ur Rehman, M. , vonDeneen, K. M. and Tian, J. (2018) Wandering pattern sensing at S-band. IEEE Journal of Biomedical and Health Informatics, 22(6), pp. 1863-1870. (doi: 10.1109/JBHI.2017.2787595)
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173905.pdf - Accepted Version 2MB |
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: | Articles |
|---|---|
| Additional Information: | This work was supported in part by the National Natural Science Foundation of China under Grant 61671349, in part by the Fundamental Research Funds for the Central Universities, International Scientific and Technological Cooperation and Exchange Projects in Shaanxi Province (no. 2017KW-005). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Ur Rehman, Dr Masood and Ren, Dr Aifeng and Shah, Mr Syed |
| Authors: | Yang, X., Shah, S. A., Ren, A., Zhao, N., Fan, D., Hu, F., Ur Rehman, M., vonDeneen, K. M., and Tian, J. |
| College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | IEEE Journal of Biomedical and Health Informatics |
| Publisher: | IEEE |
| ISSN: | 2168-2194 |
| ISSN (Online): | 2168-2208 |
| Published Online: | 27 December 2017 |
| Copyright Holders: | Copyright © 2017 IEEE |
| First Published: | First published in IEEE Journal of Biomedical and Health Informatics 22(6): 1863-1870 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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