Using a Smart Phone as a Standalone Platform for Detection and Monitoring of Pathological Tremors
Identifieur interne : 000966 ( Pmc/Curation ); précédent : 000965; suivant : 000967Using a Smart Phone as a Standalone Platform for Detection and Monitoring of Pathological Tremors
Auteurs : Jean-François Daneault [Canada] ; Benoit Carignan [Canada] ; Carl Éric Codère [Canada] ; Abbas F. Sadikot [Canada] ; Christian Duval [Canada]Source :
- Frontiers in Human Neuroscience [ 1662-5161 ] ; 2013.
Abstract
Url:
DOI: 10.3389/fnhum.2012.00357
PubMed: 23346053
PubMed Central: 3548411
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Using a Smart Phone as a Standalone Platform for Detection and Monitoring of Pathological Tremors</title>
<author><name sortKey="Daneault, Jean Francois" sort="Daneault, Jean Francois" uniqKey="Daneault J" first="Jean-François" last="Daneault">Jean-François Daneault</name>
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<author><name sortKey="Carignan, Benoit" sort="Carignan, Benoit" uniqKey="Carignan B" first="Benoit" last="Carignan">Benoit Carignan</name>
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<author><name sortKey="Duval, Christian" sort="Duval, Christian" uniqKey="Duval C" first="Christian" last="Duval">Christian Duval</name>
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<series><title level="j">Frontiers in Human Neuroscience</title>
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<front><div type="abstract" xml:lang="en"><p><bold>Introduction:</bold>
Smart phones are becoming ubiquitous and their computing capabilities are ever increasing. Consequently, more attention is geared toward their potential use in research and medical settings. For instance, their built-in hardware can provide quantitative data for different movements. Therefore, the goal of the current study was to evaluate the capabilities of a standalone smart phone platform to characterize tremor. <bold>Results:</bold>
Algorithms for tremor recording and online analysis can be implemented within a smart phone. The smart phone provides reliable time- and frequency-domain tremor characteristics. The smart phone can also provide medically relevant tremor assessments. <bold>Discussion:</bold>
Smart phones have the potential to provide researchers and clinicians with quantitative short- and long-term tremor assessments that are currently not easily available. <bold>Methods:</bold>
A smart phone application for tremor quantification and online analysis was developed. Then, smart phone results were compared to those obtained simultaneously with a laboratory accelerometer. Finally, results from the smart phone were compared to clinical tremor assessments.</p>
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</author>
<author><name sortKey="Russmann, H" uniqKey="Russmann H">H. Russmann</name>
</author>
<author><name sortKey="Wider, C" uniqKey="Wider C">C. Wider</name>
</author>
<author><name sortKey="Burkhard, P R" uniqKey="Burkhard P">P. R. Burkhard</name>
</author>
<author><name sortKey="Vingerhoets, F J" uniqKey="Vingerhoets F">F. J. Vingerhoets</name>
</author>
<author><name sortKey="Aminian, K" uniqKey="Aminian K">K. Aminian</name>
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<biblStruct><analytic><author><name sortKey="Zesiewicz, T A" uniqKey="Zesiewicz T">T. A. Zesiewicz</name>
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<author><name sortKey="Sullivan, K L" uniqKey="Sullivan K">K. L. Sullivan</name>
</author>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Front Hum Neurosci</journal-id>
<journal-id journal-id-type="iso-abbrev">Front Hum Neurosci</journal-id>
<journal-id journal-id-type="publisher-id">Front. Hum. Neurosci.</journal-id>
<journal-title-group><journal-title>Frontiers in Human Neuroscience</journal-title>
</journal-title-group>
<issn pub-type="epub">1662-5161</issn>
<publisher><publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">23346053</article-id>
<article-id pub-id-type="pmc">3548411</article-id>
<article-id pub-id-type="doi">10.3389/fnhum.2012.00357</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Neuroscience</subject>
<subj-group><subject>Methods Article</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group><article-title>Using a Smart Phone as a Standalone Platform for Detection and Monitoring of Pathological Tremors</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Daneault</surname>
<given-names>Jean-François</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Carignan</surname>
<given-names>Benoit</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Codère</surname>
<given-names>Carl Éric</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Sadikot</surname>
<given-names>Abbas F.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Duval</surname>
<given-names>Christian</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">*</xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup>
<institution>Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University</institution>
<country>Montreal, QC, Canada</country>
</aff>
<aff id="aff2"><sup>2</sup>
<institution>Centre de Recherche de l’Institut, Universitaire de Gériatrie de Montréal</institution>
<country>Montréal, QC, Canada</country>
</aff>
<aff id="aff3"><sup>3</sup>
<institution>Département des Sciences Biologiques, Université du Québec à Montréal</institution>
<country>Montréal, QC, Canada</country>
</aff>
<aff id="aff4"><sup>4</sup>
<institution>Département de Kinanthropologie, Université du Québec à Montréal</institution>
<country>Montréal, QC, Canada</country>
</aff>
<author-notes><fn fn-type="edited-by"><p>Edited by: John J. Foxe, Albert Einstein College of Medicine, USA</p>
</fn>
<fn fn-type="edited-by"><p>Reviewed by: John S. Butler, Albert Einstein College of Medicine, USA; Ming-Zher Poh, Cardiio, Inc., USA</p>
</fn>
<corresp id="fn001">*Correspondence: Christian Duval, Département de Kinanthropologie, Pavillon des Sciences Biologiques, 141 Avenue du Président-Kennedy, Room SB4290, Montréal, QC, Canada H2X 1Y4. e-mail: <email xlink:type="simple">duval.christian@uqam.ca</email>
</corresp>
</author-notes>
<pub-date pub-type="epub"><day>18</day>
<month>1</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="collection"><year>2012</year>
</pub-date>
<volume>6</volume>
<elocation-id>357</elocation-id>
<history><date date-type="received"><day>27</day>
<month>7</month>
<year>2012</year>
</date>
<date date-type="accepted"><day>25</day>
<month>12</month>
<year>2012</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2013 Daneault, Carignan, Codère, Sadikot and Duval.</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.</license-p>
</license>
</permissions>
<abstract><p><bold>Introduction:</bold>
Smart phones are becoming ubiquitous and their computing capabilities are ever increasing. Consequently, more attention is geared toward their potential use in research and medical settings. For instance, their built-in hardware can provide quantitative data for different movements. Therefore, the goal of the current study was to evaluate the capabilities of a standalone smart phone platform to characterize tremor. <bold>Results:</bold>
Algorithms for tremor recording and online analysis can be implemented within a smart phone. The smart phone provides reliable time- and frequency-domain tremor characteristics. The smart phone can also provide medically relevant tremor assessments. <bold>Discussion:</bold>
Smart phones have the potential to provide researchers and clinicians with quantitative short- and long-term tremor assessments that are currently not easily available. <bold>Methods:</bold>
A smart phone application for tremor quantification and online analysis was developed. Then, smart phone results were compared to those obtained simultaneously with a laboratory accelerometer. Finally, results from the smart phone were compared to clinical tremor assessments.</p>
</abstract>
<kwd-group><kwd>tremor</kwd>
<kwd>telephone</kwd>
<kwd>telemedicine</kwd>
<kwd>long-term</kwd>
<kwd>movement disorder</kwd>
<kwd>Parkinson</kwd>
<kwd>essential tremor</kwd>
</kwd-group>
<counts><fig-count count="3"></fig-count>
<table-count count="4"></table-count>
<equation-count count="0"></equation-count>
<ref-count count="35"></ref-count>
<page-count count="12"></page-count>
<word-count count="9208"></word-count>
</counts>
</article-meta>
</front>
</pmc>
</record>
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