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Freezing of Gait Detection Considering Leaky Wave Cable

Yang, Xiaodong and Shah, Syed Aziz and Ren, Aifeng and Zhao, Nan and Zhang, Zhiya and Fan, Dou and Zhao, Jianxun and Wang, Weigang and Ur Rehman, Masood (2019) 'Freezing of Gait Detection Considering Leaky Wave Cable.' IEEE Transactions on Antennas and Propagation, 67 (1). 554 - 561. ISSN 0018-926X

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Abstract

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: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 13 Feb 2019 15:55
Last Modified: 13 Feb 2019 16:15
URI: http://repository.essex.ac.uk/id/eprint/23997

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