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Detection of Essential Tremor at the S-Band

Yang, Xiaodong and Shah, Syed Aziz and Ren, Aifeng and Fan, Dou and Zhao, Nan and Cao, Dongjian and Hu, Fangming and Ur Rehman, Masood and Wang, Weigang and Von Deneen, Karen M and Tian, Jie (2018) 'Detection of Essential Tremor at the S-Band.' IEEE Journal of Translational Engineering in Health and Medicine, 6. ISSN 2168-2372

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Abstract

Essential tremor (ET) is a neurological disorder characterized by rhythmic, involuntary shaking of a part or parts of the body. The most common tremor is seen in the hands/arms and fingers. This paper presents an evaluation of ETs monitoring based on finger-to-nose test measurement as captured by small wireless devices working in shortwave or S-band frequency range. The acquired signals in terms of amplitude and phase information are used to detect a tremor in the hands. Linearly transforming raw phase data acquired in the S-band were carried out for calibrating the phase information and to improve accuracy. The data samples are used for classification using support vector machine algorithm. This model is used to differentiate the tremor and nontremor data efficiently based on secondary features that characterize ET. The accuracy of our measurements maintains linearity, and more than 90% accuracy rate is achieved between the feature set and data samples

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: 08 Nov 2018 16:20
Last Modified: 08 Nov 2018 16:20
URI: http://repository.essex.ac.uk/id/eprint/23433

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