Literature DB >> 25626551

Measuring tremor with a smartphone.

Benoit Carignan1, Jean-François Daneault, Christian Duval.   

Abstract

Tremor is the most common movement disorder. However; characterizing it in large populations is not easily accomplished since current methodologies are not adapted to large-scale field studies. To overcome this challenge, a smartphone application was developed as a stand-alone platform to assess tremor. The current book chapter details the steps taken to validate this mobile application. Data recorded with the smartphone was analyzed online and offline as well as compared to laboratory equipment and a clinical scale. This allowed for the identification of the tremor properties that could reliably be characterized with the smartphone as well as the limits of the hardware. It also allowed for the identification of tasks that could be performed with the smartphone when tremor was being assessed. Finally, we confirmed the clinical relevance of the results provided by the smartphone application.

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Mesh:

Year:  2015        PMID: 25626551     DOI: 10.1007/978-1-4939-2172-0_24

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Quantitative Measurement of Akinesia in Parkinson's Disease.

Authors:  Lissette Lalvay; Miguel Lara; Andrea Mora; Fernando Alarcón; Manuel Fraga; Jesús Pancorbo; José Luis Marina; María Ángeles Mena; Jose Luis Lopez Sendón; Justo García de Yébenes
Journal:  Mov Disord Clin Pract       Date:  2016-08-03

2.  A Validation Study of a Smartphone-Based Finger Tapping Application for Quantitative Assessment of Bradykinesia in Parkinson's Disease.

Authors:  Chae Young Lee; Seong Jun Kang; Sang-Kyoon Hong; Hyeo-Il Ma; Unjoo Lee; Yun Joong Kim
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

  2 in total

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