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

Abstract

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.