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Scaling behavior in measured keystroke time series from patients with Parkinson’s disease

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Abstract

Parkinson has remained as one of the most difficult diseases to diagnose, as there are no biomarkers to be measured, and this requires one patient to do neurological and physical examinations. As Parkinson is a progressive disease, accurate detection of its symptoms is a crucial factor for therapeutic reasons. In this study, we perform Multifractal Detrended Fluctuation Analysis (MFDFA) on measured keystroke time series for three different categories of subjects: healthy, early-PD, and De-Novo patients. We have observed different scaling behavior in terms of multifractality of the measured time series, which can be used as a practical tool for diagnosis purposes. Additionally, the source of the multifractality has been studied which shows that in healthy and early-PD subjects, multifractality due to the long-range correlations is stronger than the influence of its probability distribution function (PDF) fatness, while in De-Novo patients, both shape of PDF and long-range correlations are contributing to observed multifractality.

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Authors and Affiliations

  1. Department of Physics, McGill University, H3A2T8, Montreal, Canada

    Ata Madanchi

  2. Montreal Institute for Learning Algorithms (MILA), H2S3H1, Montreal, Canada

    Ata Madanchi

  3. Department of Physics, Ferdowsi University of Mashhad, P.O. Box 1436, Mashhad, Iran

    Fatemeh Taghavi-Shahri

  4. Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran

    Seyed Mahmood Taghavi-Shahri

  5. Department of Physics, Sharif University of Technology, Tehran, 11155-9161, Iran

    Mohammed Reza Rahimi Tabar

  6. Institute of Physics and ForWind, Carl von Ossietzky University, 26111, Oldenburg, Germany

    Mohammed Reza Rahimi Tabar

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  1. Ata Madanchi
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  2. Fatemeh Taghavi-Shahri
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  3. Seyed Mahmood Taghavi-Shahri
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  4. Mohammed Reza Rahimi Tabar
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Correspondence to Mohammed Reza Rahimi Tabar.

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Madanchi, A., Taghavi-Shahri, F., Taghavi-Shahri, S.M. et al. Scaling behavior in measured keystroke time series from patients with Parkinson’s disease. Eur. Phys. J. B 93, 126 (2020). https://doi.org/10.1140/epjb/e2020-100561-4

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