ParkinsonCanadaV1, PubMed, Corpus, bibRecord, 000967

Using a smart phone as a standalone platform for detection and monitoring of pathological tremors.

Identifieur interne : 000967 ( PubMed/Corpus ); précédent : 000966; suivant : 000968

Using a smart phone as a standalone platform for detection and monitoring of pathological tremors.

Auteurs : Jean-François Daneault ; Benoit Carignan ; Carl Éric Codère ; Abbas F. Sadikot ; Christian Duval

Source :

Frontiers in human neuroscience [ 1662-5161 ] ; 2012.

RBID : pubmed:23346053

Abstract

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.

DOI: 10.3389/fnhum.2012.00357
PubMed: 23346053

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pubmed:23346053

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<author><name sortKey="Daneault, Jean Francois" sort="Daneault, Jean Francois" uniqKey="Daneault J" first="Jean-François" last="Daneault">Jean-François Daneault</name>
<affiliation><nlm:affiliation>Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University Montreal, QC, Canada ; Centre de Recherche de l'Institut, Universitaire de Gériatrie de Montréal Montréal, QC, Canada.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Carignan, Benoit" sort="Carignan, Benoit" uniqKey="Carignan B" first="Benoit" last="Carignan">Benoit Carignan</name>
</author>
<author><name sortKey="Codere, Carl Eric" sort="Codere, Carl Eric" uniqKey="Codere C" first="Carl Éric" last="Codère">Carl Éric Codère</name>
</author>
<author><name sortKey="Sadikot, Abbas F" sort="Sadikot, Abbas F" uniqKey="Sadikot A" first="Abbas F" last="Sadikot">Abbas F. Sadikot</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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<sourceDesc><biblStruct><analytic><title xml:lang="en">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>
<affiliation><nlm:affiliation>Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University Montreal, QC, Canada ; Centre de Recherche de l'Institut, Universitaire de Gériatrie de Montréal Montréal, QC, Canada.</nlm:affiliation>
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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="Codere, Carl Eric" sort="Codere, Carl Eric" uniqKey="Codere C" first="Carl Éric" last="Codère">Carl Éric Codère</name>
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<author><name sortKey="Sadikot, Abbas F" sort="Sadikot, Abbas F" uniqKey="Sadikot A" first="Abbas F" last="Sadikot">Abbas F. Sadikot</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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<front><div type="abstract" xml:lang="en">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.</div>
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<ArticleTitle>Using a smart phone as a standalone platform for detection and monitoring of pathological tremors.</ArticleTitle>
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<Abstract><AbstractText Label="INTRODUCTION" NlmCategory="BACKGROUND">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.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">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.</AbstractText>
<AbstractText Label="DISCUSSION" NlmCategory="CONCLUSIONS">Smart phones have the potential to provide researchers and clinicians with quantitative short- and long-term tremor assessments that are currently not easily available.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">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.</AbstractText>
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<Author ValidYN="Y"><LastName>Sadikot</LastName>
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Using a smart phone as a standalone platform for detection and monitoring of pathological tremors.

Using a smart phone as a standalone platform for detection and monitoring of pathological tremors.

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Abstract

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Le document en format XML

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