Quantification of symptoms of movement disorders – towards home-based assessments

Researcher: Zeus Tlaltecutli Dominguez Vega, MSc (PhD student) Expected thesis defense: 2021

Copromotor: Dr. Jan Willem Elting

Funding: Conacyt

Topics of interest in this project are the automatic detection of tremor and myoclonus in inertial measurement unit recordings, as well as the use of machine learning methods to classify different movement disorders on the basis of features derived from such recordings.


  • Dominguez-Vega, Z. T., Kramer, G., Elting, J. W. J., Tijssen, M. A. J. & Maurits, N. M. (2021). Three Days of Measurement Provide Reliable Estimates of Daily Tremor Characteristics: A Pilot Study in Organic and Functional Tremor Patients. Tremor and other hyperkinetic movements. 11(1):13. http://doi.org/10.5334/tohm.603
  • Kramer, G., Dominguez-Vega, Z. T., Laarhoven, H. S. A., Brandsma, R., Smit, M., van der Stouwe, A. M. M., Elting, J. W. J., Maurits, N. M., Rosmalen, J. G. M. & Tijssen, M. A. J. (2019) Similar association between objective and subjective symptoms in functional and organic tremor, Parkinsonism & Related Disorders. 64, p. 2-7.  https://www.sciencedirect.com/science/article/abs/pii/S1353802019302470
  • Weersink, J. B., Eikelboom, C., Dominguez Vega, Z. T., Maurits, N. M. & de Jong, B. M. (2018). Forward arm extension as a cue for gait initiation in Parkinson’s patients, Movement Disorders. 33, 11, p. 1826-1827.  https://pubmed.ncbi.nlm.nih.gov/30329182/

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