MovDisordV3, Main, Merge, bibRecord, 002821

A Novel Automatic Method for Monitoring Tourette Motor Tics Through a Wearable Device

Identifieur interne : 002821 ( Main/Merge ); précédent : 002820; suivant : 002822

A Novel Automatic Method for Monitoring Tourette Motor Tics Through a Wearable Device

Auteurs : Michel Bernabei [Italie] ; Ezio Preatoni [Italie] ; Martin Mendez [Italie, Mexique] ; Luca Piccini [Italie] ; Mauro Porta [Italie] ; Giuseppe Andreoni [Italie]

Source :

Movement disorders [ 0885-3185 ] ; 2010.

RBID : Pascal:10-0446320

Descripteurs français

Pascal (Inist)
- Tic, Syndrome de Gilles de la Tourette, Pathologie du système nerveux, Monitorage, Dépistage, Accéléromètre.

English descriptors

KwdEn :
- Accelerometer, Gilles de la Tourette syndrome, Medical screening, Monitoring, Nervous system diseases, Tic.

Abstract

The aim of this study was to propose a novel automatic method for quantifying motor-tics caused by the Tourette Syndrome (TS). In this preliminary report, the feasibility of the monitoring process was tested over a series of standard clinical trials in a population of 12 subjects affected by TS. A wearable instrument with an embedded three-axial accelerometer was used to detect and classify motor tics during standing and walking activities. An algorithm was devised to analyze acceleration data by: eliminating noise; detecting peaks connected to pathological events; and classifying intensity and frequency of motor tics into quantitative scores. These indexes were compared with the video-based ones provided by expert clinicians, which were taken as the gold-standard. Sensitivity, specificity, and accuracy of tic detection were estimated, and an agreement analysis was performed through the least square regression and the Bland-Altman test. The tic recognition algorithm showed sensitivity = 80.8% ± 8.5% (mean ± SD), specificity = 75.8% ± 17.3%, and accuracy = 80.5% ± 12.2%. The agreement study showed that automatic detection tended to overestimate the number of tics occurred. Although, it appeared this may be a systematic error due to the different recognition principles of the wearable and video-based systems. Furthermore, there was substantial concurrency with the gold-standard in estimating the severity indexes. The proposed methodology gave promising performances in terms of automatic motor-tics detection and classification in a standard clinical context. The system may provide physicians with a quantitative aid for TS assessment. Further developments will focus on the extension of its application to everyday long-term monitoring out of clinical environments.

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000913
to stream PascalFrancis, to step Curation: 002406
to stream PascalFrancis, to step Checkpoint: 000C34

Links to Exploration step

Pascal:10-0446320

Le document en format XML

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<author><name sortKey="Porta, Mauro" sort="Porta, Mauro" uniqKey="Porta M" first="Mauro" last="Porta">Mauro Porta</name>
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<author><name sortKey="Andreoni, Giuseppe" sort="Andreoni, Giuseppe" uniqKey="Andreoni G" first="Giuseppe" last="Andreoni">Giuseppe Andreoni</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">A Novel Automatic Method for Monitoring Tourette Motor Tics Through a Wearable Device</title>
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<author><name sortKey="Mendez, Martin" sort="Mendez, Martin" uniqKey="Mendez M" first="Martin" last="Mendez">Martin Mendez</name>
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<affiliation wicri:level="3"><inist:fA14 i1="02"><s1>Dipartimento di Industrial Design, Arti, Comunicazione e Moda (INDACO), Politecnico di Milano</s1>
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<author><name sortKey="Porta, Mauro" sort="Porta, Mauro" uniqKey="Porta M" first="Mauro" last="Porta">Mauro Porta</name>
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<author><name sortKey="Andreoni, Giuseppe" sort="Andreoni, Giuseppe" uniqKey="Andreoni G" first="Giuseppe" last="Andreoni">Giuseppe Andreoni</name>
<affiliation wicri:level="3"><inist:fA14 i1="02"><s1>Dipartimento di Industrial Design, Arti, Comunicazione e Moda (INDACO), Politecnico di Milano</s1>
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<series><title level="j" type="main">Movement disorders</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Accelerometer</term>
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<term>Nervous system diseases</term>
<term>Tic</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Tic</term>
<term>Syndrome de Gilles de la Tourette</term>
<term>Pathologie du   système nerveux</term>
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<term>Dépistage</term>
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<front><div type="abstract" xml:lang="en">The aim of this study was to propose a novel automatic method for quantifying motor-tics caused by the Tourette Syndrome (TS). In this preliminary report, the feasibility of the monitoring process was tested over a series of standard clinical trials in a population of 12 subjects affected by TS. A wearable instrument with an embedded three-axial accelerometer was used to detect and classify motor tics during standing and walking activities. An algorithm was devised to analyze acceleration data by: eliminating noise; detecting peaks connected to pathological events; and classifying intensity and frequency of motor tics into quantitative scores. These indexes were compared with the video-based ones provided by expert clinicians, which were taken as the gold-standard. Sensitivity, specificity, and accuracy of tic detection were estimated, and an agreement analysis was performed through the least square regression and the Bland-Altman test. The tic recognition algorithm showed sensitivity = 80.8% ± 8.5% (mean ± SD), specificity = 75.8% ± 17.3%, and accuracy = 80.5% ± 12.2%. The agreement study showed that automatic detection tended to overestimate the number of tics occurred. Although, it appeared this may be a systematic error due to the different recognition principles of the wearable and video-based systems. Furthermore, there was substantial concurrency with the gold-standard in estimating the severity indexes. The proposed methodology gave promising performances in terms of automatic motor-tics detection and classification in a standard clinical context. The system may provide physicians with a quantitative aid for TS assessment. Further developments will focus on the extension of its application to everyday long-term monitoring out of clinical environments.</div>
</front>
</TEI>
<affiliations><list><country><li>Italie</li>
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<tree><country name="Italie"><region name="Lombardie"><name sortKey="Bernabei, Michel" sort="Bernabei, Michel" uniqKey="Bernabei M" first="Michel" last="Bernabei">Michel Bernabei</name>
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<name sortKey="Andreoni, Giuseppe" sort="Andreoni, Giuseppe" uniqKey="Andreoni G" first="Giuseppe" last="Andreoni">Giuseppe Andreoni</name>
<name sortKey="Bernabei, Michel" sort="Bernabei, Michel" uniqKey="Bernabei M" first="Michel" last="Bernabei">Michel Bernabei</name>
<name sortKey="Mendez, Martin" sort="Mendez, Martin" uniqKey="Mendez M" first="Martin" last="Mendez">Martin Mendez</name>
<name sortKey="Piccini, Luca" sort="Piccini, Luca" uniqKey="Piccini L" first="Luca" last="Piccini">Luca Piccini</name>
<name sortKey="Porta, Mauro" sort="Porta, Mauro" uniqKey="Porta M" first="Mauro" last="Porta">Mauro Porta</name>
<name sortKey="Preatoni, Ezio" sort="Preatoni, Ezio" uniqKey="Preatoni E" first="Ezio" last="Preatoni">Ezio Preatoni</name>
<name sortKey="Preatoni, Ezio" sort="Preatoni, Ezio" uniqKey="Preatoni E" first="Ezio" last="Preatoni">Ezio Preatoni</name>
</country>
<country name="Mexique"><noRegion><name sortKey="Mendez, Martin" sort="Mendez, Martin" uniqKey="Mendez M" first="Martin" last="Mendez">Martin Mendez</name>
</noRegion>
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</record>

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	Movement Disorders (revue)
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Movement Disorders (revue)

A Novel Automatic Method for Monitoring Tourette Motor Tics Through a Wearable Device

A Novel Automatic Method for Monitoring Tourette Motor Tics Through a Wearable Device

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri