Yang, X., Shah, S. A. , Ren, A., Fan, D., Zhao, N., Zheng, S., Wang, W., Soh, P. J. and Abbasi, Q. H. (2019) S-band sensing-based motion assessment framework for cerebellar dysfunction patients. IEEE Sensors Journal, 19(19), pp. 8460-8467. (doi: 10.1109/JSEN.2018.2861906)
|
Text
166048.pdf - Accepted Version 2MB |
Abstract
Cerebellar dysfunction (CD) is a neurological disorder that involves a number of abnormalities that affect the movement of various parts of the body such as gait abnormality or tremors in limbs such as hands or feet while reaching out for something. A user-friend tool that can objectively evaluate the aforementioned body movements in CD patients can aid the clinicians for an objective assessment in clinical settings. The objective of this work is to develop a method that quantifies the gait abnormality and tremors in hand using S-Band sensing technique. The S-Band sensing essentially leverages small wireless devices such as network interface card, omnidirectional antenna and router operating at 2.4 GHz to record the wireless channel data. Specifically, the aim is to use the variances of amplitude and phase information induced due to the human body movements. Each body movement leaves a unique imprint in the form of wireless channel information that is used to identify abnormalities in body motions. The proposed framework applied a linear transformation on raw phase data for calibrations since the data retrieved using interface card contain noise and is inapplicable for motion detection. The support vector machine used to classify the data achieved high classification accuracy.
| Item Type: | Articles |
|---|---|
| Additional Information: | The work was supported in part by the National Natural Science Foundation of China (Grant No. 61671349 and 61301175), in part by the China Postdoctoral Science Foundation funded project (Grant No. 2018T111023), in part by the International Scientific and Technological Cooperation and Exchange Projects in Shaanxi Province (Grant No. 2017KW-005), in part by the Fundamental Research Funds for the Central Universities (Grant No. JB180205). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Abbasi, Professor Qammer and Shah, Mr Syed |
| Authors: | Yang, X., Shah, S. A., Ren, A., Fan, D., Zhao, N., Zheng, S., Wang, W., Soh, P. J., and Abbasi, Q. H. |
| College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| Journal Name: | IEEE Sensors Journal |
| Publisher: | IEEE |
| ISSN: | 1530-437X |
| ISSN (Online): | 1558-1748 |
| Published Online: | 01 August 2018 |
| Copyright Holders: | Copyright © 2018 IEEE |
| First Published: | First published in IEEE Sensors 19(19): 8460-8467 |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
University Staff: Request a correction | Enlighten Editors: Update this record
Altmetric
Altmetric