Automated scoring of rehabilitative tests via time-frequency informed singular spectrum analysis

Abstract

Continual assessment of rehabilitation progress is necessary to enhance the effectiveness of therapy. In a previous work [1] this has been addressed by looking into the eigenvalues of the arm movement signals using singular spectrum analysis (SSA). The method however ignores the effect of data nonstationarity which includes at least three different… (More)
DOI: 10.1109/IWCIM.2015.7347093

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Cite this paper

@article{Lee2015AutomatedSO, title={Automated scoring of rehabilitative tests via time-frequency informed singular spectrum analysis}, author={Tracey Kah-Mein Lee and Kee-Hao Leo and Effie Chew and Ling Zhao and Saeid Sanei}, journal={2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)}, year={2015}, pages={1-5} }