Freezing of gait detection considering leaky wave cable

Yang, X., Shah, S. A. , Ren, A. , Zhao, N., Zhang, Z., Fan, D., Zhao, J., Wang, W. and Ur-Rehman, M. (2019) Freezing of gait detection considering leaky wave cable. IEEE Transactions on Antennas and Propagation, 67(1), pp. 554-561. (doi: 10.1109/TAP.2018.2878081)

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A novel study on monitoring and analysis of the debilitating condition of patients suffering from the neurological disorder is presented. Parkinson’s disease is characterized by limited motor ability of a patient. Freezing of gait is a major nonmotor condition among aging patients and its evaluation can reduce the chances of any secondary disorders. In this paper, amplitude and phase information of the radio signals observed for a fixed period of time are used to differentiate the motor and nonmotor symptoms. The amplitude information is classified using a support vector machine, while the linear transformation is applied to obtain sanitized phase information for detection. The proposed method is very handy with the minimum deployment overhead. The analysis shows that this method also offers a high-accuracy level of around 99% based on the observation of a number of patients. These features make it an attractive solution for real-time patient monitoring systems.

Item Type:Articles
Additional Information:This work was supported in part by the National Natural Science Foundation of China under Grant 61671349, Grant 61301175, and Grant 61601338, in part by the China Postdoctoral Science Foundation Funded Project under Grant 2018T111023, in part by the International Scientific and Technological Cooperation and Exchange Projects in Shaanxi Province under Grant 2017KW-005, and in part by Fundamental Research Funds for the Central Universities under Grant JB180205.
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., Zhang, Z., Fan, D., Zhao, J., Wang, W., and Ur-Rehman, M.
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 Transactions on Antennas and Propagation
ISSN (Online):1558-2221
Published Online:25 October 2018

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