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      MotorBrain: A mobile app for the assessment of users' motor performance in neurology.

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          Abstract

          Human motor skills or impairments have been traditionally assessed by neurologists by means of paper-and-pencil tests or special hardware. More recently, technologies such as digitizing tablets and touchscreens have offered neurologists new assessment possibilities, but their use has been restricted to a specific medical condition, or to stylus-operated mobile devices. The objective of this paper is twofold. First, we propose a mobile app (MotorBrain) that offers six computerized versions of traditional motor tests, can be used directly by patients (with and without the supervision of a clinician), and aims at turning millions of smartphones and tablets available to the general public into data collection and assessment tools. Then, we carry out a study to determine whether the data collected by MotorBrain can be meaningful for describing aging in human motor performance.

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          Author and article information

          Journal
          Comput Methods Programs Biomed
          Computer methods and programs in biomedicine
          Elsevier BV
          1872-7565
          0169-2607
          May 2017
          : 143
          Affiliations
          [1 ] Human-Computer Interaction Lab, Department of Mathematics, Computer Science, and Physics, University of Udine, Udine, Italy. Electronic address: andrea.vianello@uniud.it.
          [2 ] Human-Computer Interaction Lab, Department of Mathematics, Computer Science, and Physics, University of Udine, Udine, Italy. Electronic address: luca.chittaro@uniud.it.
          [3 ] Human-Computer Interaction Lab, Department of Mathematics, Computer Science, and Physics, University of Udine, Udine, Italy.
          [4 ] Department of Neurology, "Santa Maria della Misericordia" Hospital, Udine, Italy.
          Article
          S0169-2607(15)30259-5
          10.1016/j.cmpb.2017.02.012
          28391817
          9d1af710-6926-4004-8920-3f2a80816d7a
          History

          Aging,Data collection,Mobile applications,Motor skills,Neurology

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