Analysis of vertical eye movements in Parkinson’s disease and its potential for diagnosis
Author:
Funder
Hamadan University of Medical Sciences
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02364-9.pdf
Reference54 articles.
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2. Farashi S (2020) Distinguishing between Parkinson’s disease patients and healthy individuals using a comprehensive set of time, frequency and time-frequency features extracted from vertical ground reaction force data. Biomed Signal Process Control 62:102132. https://doi.org/10.1016/j.bspc.2020.102132
3. Butt AH, Cavallo F, Maremmani C, Rovini E (2020) Biomechanical parameters assessment for the classification of Parkinson disease using bidirectional long short-term memory. In: 2020 42nd Conf Proc IEEE Eng Med Biol Soc 2020. pp 5761–5764. https://doi.org/10.1109/EMBC44109.2020.9176051
4. Anderson TJ, MacAskill MR (2013) Eye movements in patients with neurodegenerative disorders. Nat Rev Neurol 9(2):74–85. https://doi.org/10.1038/nrneurol.2012.273
5. Gorges M, Pinkhardt EH, Kassubek J (2014) Alterations of eye movement control in neurodegenerative movement disorders. J Ophthalmol 2014. https://doi.org/10.1155/2014/658243
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