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      Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease.

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          Abstract

          We present the PaHaW Parkinson's disease handwriting database, consisting of handwriting samples from Parkinson's disease (PD) patients and healthy controls. Our goal is to show that kinematic features and pressure features in handwriting can be used for the differential diagnosis of PD.

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          Author and article information

          Journal
          Journal ID (iso-abbrev): Artif Intell Med
          Title: Artificial intelligence in medicine
          Publisher: Elsevier BV
          ISSN (Electronic): 1873-2860
          ISSN (Print): 0933-3657
          Publication date (Electronic): Feb 2016
          Volume: 67
          Affiliations
          [1 ] Department of Telecommunications, Brno University of Technology, Technická 12, 61200 Brno, Czech Republic.
          [2 ] First Department of Neurology, Faculty of Medicine, St. Anns University Hospital, Pekarska 664, 66591 Brno, Czech Republic. Electronic address: rektorova@fnusa.cz.
          [3 ] First Department of Neurology, Faculty of Medicine, St. Anns University Hospital, Pekarska 664, 66591 Brno, Czech Republic.
          [4 ] Signal Processing Group, Tecnocampus, Escola Universitaria Politecnica de Mataro, Avda. Ernest Llunch 32, 08302 Mataro, Spain.
          Article
          Publisher Item ID: S0933-3657(16)00006-3
          DOI: 10.1016/j.artmed.2016.01.004
          PubMed ID: 26874552
          SO-VID: 26816cb9-06f7-4b07-82dc-3a0015022cb0
          History

          Keywords: Handwriting database,Decision support system,Handwriting pressure,PD dysgraphia,Parkinson's disease,Support vector machine classifier
          Data availability:
          Keywords: Handwriting database, Decision support system, Handwriting pressure, PD dysgraphia, Parkinson's disease, Support vector machine classifier

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