MovDisordV3, PascalFrancis, Corpus, bibRecord, 000913

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

Identifieur interne : 000913 ( PascalFrancis/Corpus ); précédent : 000912; suivant : 000914

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

Auteurs : Michel Bernabei ; Ezio Preatoni ; Martin Mendez ; Luca Piccini ; Mauro Porta ; Giuseppe Andreoni

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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A03		`1`		`@0 Mov. disord.`
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A08	`01`	`1`	`ENG`	`@1 A Novel Automatic Method for Monitoring Tourette Motor Tics Through a Wearable Device`
A11	`01`	`1`		`@1 BERNABEI (Michel)`
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A11	`03`	`1`		`@1 MENDEZ (Martin)`
A11	`04`	`1`		`@1 PICCINI (Luca)`
A11	`05`	`1`		`@1 PORTA (Mauro)`
A11	`06`	`1`		`@1 ANDREONI (Giuseppe)`
A14	`01`			`@1 Dipartimento di Bioingegneria, Politecnico di Milano @2 Milan @3 ITA @Z 1 aut. @Z 2 aut. @Z 3 aut.`
A14	`02`			`@1 Dipartimento di Industrial Design, Arti, Comunicazione e Moda (INDACO), Politecnico di Milano @2 Milan @3 ITA @Z 1 aut. @Z 2 aut. @Z 4 aut. @Z 6 aut.`
A14	`03`			`@1 Facultad de Ciencias, Universidad Autónoma de San Luis Potosí @2 San Luis Potosí @3 MEX @Z 3 aut.`
A14	`04`			`@1 Department of Neurology, Tourette Centre, IRCCS "Galeazzi," @2 Milan @3 ITA @Z 5 aut.`
A20				`@1 1967-1972`
A21				`@1 2010`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 20953 @5 354000194841700270`
A44				`@0 0000 @1 © 2010 INIST-CNRS. All rights reserved.`
A45				`@0 21 ref.`
A47	`01`	`1`		`@0 10-0446320`
A60				`@1 P`
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A64	`01`	`1`		`@0 Movement disorders`
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C01	`01`		`ENG`	@0 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.
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C02	`02`	`X`		`@0 002B17G`
C03	`01`	`X`	`FRE`	`@0 Tic @5 01`
C03	`01`	`X`	`ENG`	`@0 Tic @5 01`
C03	`01`	`X`	`SPA`	`@0 Tic @5 01`
C03	`02`	`X`	`FRE`	`@0 Syndrome de Gilles de la Tourette @5 02`
C03	`02`	`X`	`ENG`	`@0 Gilles de la Tourette syndrome @5 02`
C03	`02`	`X`	`SPA`	`@0 Gilles de la Tourette síndrome @5 02`
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C03	`03`	`X`	`SPA`	`@0 Sistema nervioso patología @5 03`
C03	`04`	`X`	`FRE`	`@0 Monitorage @5 09`
C03	`04`	`X`	`ENG`	`@0 Monitoring @5 09`
C03	`04`	`X`	`SPA`	`@0 Monitoreo @5 09`
C03	`05`	`X`	`FRE`	`@0 Dépistage @5 10`
C03	`05`	`X`	`ENG`	`@0 Medical screening @5 10`
C03	`05`	`X`	`SPA`	`@0 Descubrimiento @5 10`
C03	`06`	`X`	`FRE`	`@0 Accéléromètre @5 11`
C03	`06`	`X`	`ENG`	`@0 Accelerometer @5 11`
C03	`06`	`X`	`SPA`	`@0 Acelerómetro @5 11`
C07	`01`	`X`	`FRE`	`@0 Mouvement involontaire @5 37`
C07	`01`	`X`	`ENG`	`@0 Involuntary movement @5 37`
C07	`01`	`X`	`SPA`	`@0 Movimiento involuntario @5 37`
C07	`02`	`X`	`FRE`	`@0 Trouble neurologique @5 39`
C07	`02`	`X`	`ENG`	`@0 Neurological disorder @5 39`
C07	`02`	`X`	`SPA`	`@0 Trastorno neurológico @5 39`
C07	`03`	`X`	`FRE`	`@0 Pathologie de l'encéphale @5 40`
C07	`03`	`X`	`ENG`	`@0 Cerebral disorder @5 40`
C07	`03`	`X`	`SPA`	`@0 Encéfalo patología @5 40`
C07	`04`	`X`	`FRE`	`@0 Maladie dégénérative @5 41`
C07	`04`	`X`	`ENG`	`@0 Degenerative disease @5 41`
C07	`04`	`X`	`SPA`	`@0 Enfermedad degenerativa @5 41`
C07	`05`	`X`	`FRE`	`@0 Pathologie du système nerveux central @5 42`
C07	`05`	`X`	`ENG`	`@0 Central nervous system disease @5 42`
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N44	`01`			`@1 OTO`
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Format Inist (serveur)

NO :	PASCAL 10-0446320 INIST
ET :	A Novel Automatic Method for Monitoring Tourette Motor Tics Through a Wearable Device
AU :	BERNABEI (Michel); PREATONI (Ezio); MENDEZ (Martin); PICCINI (Luca); PORTA (Mauro); ANDREONI (Giuseppe)
AF :	Dipartimento di Bioingegneria, Politecnico di Milano/Milan/Italie (1 aut., 2 aut., 3 aut.); Dipartimento di Industrial Design, Arti, Comunicazione e Moda (INDACO), Politecnico di Milano/Milan/Italie (1 aut., 2 aut., 4 aut., 6 aut.); Facultad de Ciencias, Universidad Autónoma de San Luis Potosí/San Luis Potosí/Mexique (3 aut.); Department of Neurology, Tourette Centre, IRCCS "Galeazzi,"/Milan/Italie (5 aut.)
DT :	Publication en série; Niveau analytique
SO :	Movement disorders; ISSN 0885-3185; Etats-Unis; Da. 2010; Vol. 25; No. 12; Pp. 1967-1972; Bibl. 21 ref.
LA :	Anglais
EA :	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.
CC :	002B17; 002B17G
FD :	Tic; Syndrome de Gilles de la Tourette; Pathologie du système nerveux; Monitorage; Dépistage; Accéléromètre
FG :	Mouvement involontaire; Trouble neurologique; Pathologie de l'encéphale; Maladie dégénérative; Pathologie du système nerveux central
ED :	Tic; Gilles de la Tourette syndrome; Nervous system diseases; Monitoring; Medical screening; Accelerometer
EG :	Involuntary movement; Neurological disorder; Cerebral disorder; Degenerative disease; Central nervous system disease
SD :	Tic; Gilles de la Tourette síndrome; Sistema nervioso patología; Monitoreo; Descubrimiento; Acelerómetro
LO :	INIST-20953.354000194841700270
ID :	10-0446320

Links to Exploration step

Pascal:10-0446320

Le document en format XML

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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>
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<fA14 i1="04"><s1>Department of Neurology, Tourette Centre, IRCCS "Galeazzi,"</s1>
<s2>Milan</s2>
<s3>ITA</s3>
<sZ>5 aut.</sZ>
</fA14>
<fA20><s1>1967-1972</s1>
</fA20>
<fA21><s1>2010</s1>
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<fA23 i1="01"><s0>ENG</s0>
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<s1>© 2010 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>21 ref.</s0>
</fA45>
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</fA47>
<fA60><s1>P</s1>
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</fC01>
<fC02 i1="01" i2="X"><s0>002B17</s0>
</fC02>
<fC02 i1="02" i2="X"><s0>002B17G</s0>
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<fC03 i1="01" i2="X" l="FRE"><s0>Tic</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Tic</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Tic</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Syndrome de Gilles de la Tourette</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Gilles de la Tourette syndrome</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Gilles de la Tourette síndrome</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Pathologie du   système nerveux</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Nervous system diseases</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Sistema nervioso patología</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Monitorage</s0>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Monitoring</s0>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Monitoreo</s0>
<s5>09</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Dépistage</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Medical screening</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Descubrimiento</s0>
<s5>10</s5>
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</fC03>
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<s5>11</s5>
</fC03>
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<s5>11</s5>
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<fC07 i1="01" i2="X" l="FRE"><s0>Mouvement involontaire</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Involuntary movement</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Movimiento involuntario</s0>
<s5>37</s5>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Trouble neurologique</s0>
<s5>39</s5>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Neurological disorder</s0>
<s5>39</s5>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Trastorno neurológico</s0>
<s5>39</s5>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Pathologie de l'encéphale</s0>
<s5>40</s5>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Cerebral disorder</s0>
<s5>40</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Encéfalo patología</s0>
<s5>40</s5>
</fC07>
<fC07 i1="04" i2="X" l="FRE"><s0>Maladie dégénérative</s0>
<s5>41</s5>
</fC07>
<fC07 i1="04" i2="X" l="ENG"><s0>Degenerative disease</s0>
<s5>41</s5>
</fC07>
<fC07 i1="04" i2="X" l="SPA"><s0>Enfermedad degenerativa</s0>
<s5>41</s5>
</fC07>
<fC07 i1="05" i2="X" l="FRE"><s0>Pathologie du   système nerveux central</s0>
<s5>42</s5>
</fC07>
<fC07 i1="05" i2="X" l="ENG"><s0>Central nervous system disease</s0>
<s5>42</s5>
</fC07>
<fC07 i1="05" i2="X" l="SPA"><s0>Sistema nervosio central patología</s0>
<s5>42</s5>
</fC07>
<fN21><s1>291</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
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<server><NO>PASCAL 10-0446320 INIST</NO>
<ET>A Novel Automatic Method for Monitoring Tourette Motor Tics Through a Wearable Device</ET>
<AU>BERNABEI (Michel); PREATONI (Ezio); MENDEZ (Martin); PICCINI (Luca); PORTA (Mauro); ANDREONI (Giuseppe)</AU>
<AF>Dipartimento di Bioingegneria, Politecnico di Milano/Milan/Italie (1 aut., 2 aut., 3 aut.); Dipartimento di Industrial Design, Arti, Comunicazione e Moda (INDACO), Politecnico di Milano/Milan/Italie (1 aut., 2 aut., 4 aut., 6 aut.); Facultad de Ciencias, Universidad Autónoma de San Luis Potosí/San Luis Potosí/Mexique (3 aut.); Department of Neurology, Tourette Centre, IRCCS "Galeazzi,"/Milan/Italie (5 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Movement disorders; ISSN 0885-3185; Etats-Unis; Da. 2010; Vol. 25; No. 12; Pp. 1967-1972; Bibl. 21 ref.</SO>
<LA>Anglais</LA>
<EA>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.</EA>
<CC>002B17; 002B17G</CC>
<FD>Tic; Syndrome de Gilles de la Tourette; Pathologie du   système nerveux; Monitorage; Dépistage; Accéléromètre</FD>
<FG>Mouvement involontaire; Trouble neurologique; Pathologie de l'encéphale; Maladie dégénérative; Pathologie du   système nerveux central</FG>
<ED>Tic; Gilles de la Tourette syndrome; Nervous system diseases; Monitoring; Medical screening; Accelerometer</ED>
<EG>Involuntary movement; Neurological disorder; Cerebral disorder; Degenerative disease; Central nervous system disease</EG>
<SD>Tic; Gilles de la Tourette síndrome; Sistema nervioso patología; Monitoreo; Descubrimiento; Acelerómetro</SD>
<LO>INIST-20953.354000194841700270</LO>
<ID>10-0446320</ID>
</server>
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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

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