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Detection of Parkinson's tremor from EMG signals; a singular spectrum analysis approach.

Eftaxias, K, Enshaeifar, Shirin, Geman, O, Kouchaki, S and Sanei, S (2015) Detection of Parkinson's tremor from EMG signals; a singular spectrum analysis approach. In: IEEE International Conference on Digital Signal Processing (DSP) 2015, 21-24 July 2015, Singapore.

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A robust constrained complex singular spectrum analysis approach for the assessment of Parkinson's tremor by separation of electromyograms (EMGs) is presented in this paper. This approach exploits the expected EMG characteristics of tremor within a subspace of the single channel surface EMG signal measured during the prescribed hand movement including flexion and extension and decomposed using singular spectrum analysis. The results are validated using the tremor signals simultaneously recorded using motion sensors.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Surrey research (other units)
Authors :
Eftaxias, K
Geman, O
Kouchaki, S
Date : 10 September 2015
DOI : 10.1109/ICDSP.2015.7251901
Copyright Disclaimer : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Contributors :
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:46
Last Modified : 23 Jan 2020 18:49

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