Ambulatory motor assessment in Parkinson's disease
Identifieur interne : 001030 ( PascalFrancis/Curation ); précédent : 001029; suivant : 001031Ambulatory motor assessment in Parkinson's disease
Auteurs : Noël L. W. Keijsers [Pays-Bas] ; Martin W. I. M. Horstink [Pays-Bas] ; Stan C. A. M. Gielen [Pays-Bas]Source :
- Movement disorders [ 0885-3185 ] ; 2006.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
We developed an algorithm that distinguishes between on and off states in patients with Parkinson's disease during daily life activities. Twenty-three patients were monitored continuously in a home-like situation for approximately 3 hours while they carried out normal daily-life activities. Behavior and comments of patients during the experiment were used to determine the on and off periods by a trained observer. Behavior of the patients was measured using triaxial accelerometers, which were placed at six different positions on the body. Parameters related to hypokinesia (percentage movement), bradykinesia (mean velocity), and tremor (percentage peak frequencies above 4 Hz) were used to distinguish between on and off states. The on-off detection was evaluated using sensitivity and specificity. The performance for each patient was defined as the average of the sensitivity and specificity. The best performance to classify on and off states was obtained by analysis of movements in the frequency domain with a sensitivity of 0.97 and a specificity of 0.97. We conclude that our algorithm can distinguish between on and off states with a sensitivity and specificity near 0.97. This method, together with our previously published method to detect levodopa-induced dyskinesia, can automatically assess the motor state of Parkinson's disease patients and can operate successfully in unsupervised ambulatory conditions.
| pA |
|
|---|
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: Pour aller vers cette notice dans l'étape Curation :001C91
Links to Exploration step
Pascal:06-0135491Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Ambulatory motor assessment in Parkinson's disease</title><author><name sortKey="Keijsers, Noel L W" sort="Keijsers, Noel L W" uniqKey="Keijsers N" first="Noël L. W." last="Keijsers">Noël L. W. Keijsers</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biophysics, Institute for Neuroscience, Radboud University Nijmegen</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Pays-Bas</country></affiliation></author><author><name sortKey="Horstink, Martin W I M" sort="Horstink, Martin W I M" uniqKey="Horstink M" first="Martin W. I. M." last="Horstink">Martin W. I. M. Horstink</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Neurology, Institute for Neuroscience, University Medical Center St. Radboud</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>2 aut.</sZ></inist:fA14><country>Pays-Bas</country></affiliation></author><author><name sortKey="Gielen, Stan C A M" sort="Gielen, Stan C A M" uniqKey="Gielen S" first="Stan C. A. M." last="Gielen">Stan C. A. M. Gielen</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biophysics, Institute for Neuroscience, Radboud University Nijmegen</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Pays-Bas</country></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">06-0135491</idno><date when="2006">2006</date><idno type="stanalyst">PASCAL 06-0135491 INIST</idno><idno type="RBID">Pascal:06-0135491</idno><idno type="wicri:Area/PascalFrancis/Corpus">001C91</idno><idno type="wicri:Area/PascalFrancis/Curation">001030</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Ambulatory motor assessment in Parkinson's disease</title><author><name sortKey="Keijsers, Noel L W" sort="Keijsers, Noel L W" uniqKey="Keijsers N" first="Noël L. W." last="Keijsers">Noël L. W. Keijsers</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biophysics, Institute for Neuroscience, Radboud University Nijmegen</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Pays-Bas</country></affiliation></author><author><name sortKey="Horstink, Martin W I M" sort="Horstink, Martin W I M" uniqKey="Horstink M" first="Martin W. I. M." last="Horstink">Martin W. I. M. Horstink</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Neurology, Institute for Neuroscience, University Medical Center St. Radboud</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>2 aut.</sZ></inist:fA14><country>Pays-Bas</country></affiliation></author><author><name sortKey="Gielen, Stan C A M" sort="Gielen, Stan C A M" uniqKey="Gielen S" first="Stan C. A. M." last="Gielen">Stan C. A. M. Gielen</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Biophysics, Institute for Neuroscience, Radboud University Nijmegen</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Pays-Bas</country></affiliation></author></analytic><series><title level="j" type="main">Movement disorders</title><title level="j" type="abbreviated">Mov. disord.</title><idno type="ISSN">0885-3185</idno><imprint><date when="2006">2006</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Movement disorders</title><title level="j" type="abbreviated">Mov. disord.</title><idno type="ISSN">0885-3185</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Accelerometer</term><term>Ambulatory</term><term>Daily living</term><term>Fluctuations</term><term>Nervous system diseases</term><term>Parkinson disease</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Système nerveux pathologie</term><term>Parkinson maladie</term><term>Ambulatoire</term><term>Fluctuation</term><term>Accéléromètre</term><term>Vie quotidienne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We developed an algorithm that distinguishes between on and off states in patients with Parkinson's disease during daily life activities. Twenty-three patients were monitored continuously in a home-like situation for approximately 3 hours while they carried out normal daily-life activities. Behavior and comments of patients during the experiment were used to determine the on and off periods by a trained observer. Behavior of the patients was measured using triaxial accelerometers, which were placed at six different positions on the body. Parameters related to hypokinesia (percentage movement), bradykinesia (mean velocity), and tremor (percentage peak frequencies above 4 Hz) were used to distinguish between on and off states. The on-off detection was evaluated using sensitivity and specificity. The performance for each patient was defined as the average of the sensitivity and specificity. The best performance to classify on and off states was obtained by analysis of movements in the frequency domain with a sensitivity of 0.97 and a specificity of 0.97. We conclude that our algorithm can distinguish between on and off states with a sensitivity and specificity near 0.97. This method, together with our previously published method to detect levodopa-induced dyskinesia, can automatically assess the motor state of Parkinson's disease patients and can operate successfully in unsupervised ambulatory conditions.</div></front></TEI><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0885-3185</s0></fA01><fA03 i2="1"><s0>Mov. disord.</s0></fA03><fA05><s2>21</s2></fA05><fA06><s2>1</s2></fA06><fA08 i1="01" i2="1" l="ENG"><s1>Ambulatory motor assessment in Parkinson's disease</s1></fA08><fA11 i1="01" i2="1"><s1>KEIJSERS (Noël L. W.)</s1></fA11><fA11 i1="02" i2="1"><s1>HORSTINK (Martin W. I. M.)</s1></fA11><fA11 i1="03" i2="1"><s1>GIELEN (Stan C. A. M.)</s1></fA11><fA14 i1="01"><s1>Department of Biophysics, Institute for Neuroscience, Radboud University Nijmegen</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></fA14><fA14 i1="02"><s1>Department of Neurology, Institute for Neuroscience, University Medical Center St. Radboud</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>2 aut.</sZ></fA14><fA20><s1>34-44</s1></fA20><fA21><s1>2006</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA43 i1="01"><s1>INIST</s1><s2>20953</s2><s5>354000133169150050</s5></fA43><fA44><s0>0000</s0><s1>© 2006 INIST-CNRS. All rights reserved.</s1></fA44><fA45><s0>40 ref.</s0></fA45><fA47 i1="01" i2="1"><s0>06-0135491</s0></fA47><fA60><s1>P</s1></fA60><fA61><s0>A</s0></fA61><fA64 i1="01" i2="1"><s0>Movement disorders</s0></fA64><fA66 i1="01"><s0>USA</s0></fA66><fC01 i1="01" l="ENG"><s0>We developed an algorithm that distinguishes between on and off states in patients with Parkinson's disease during daily life activities. Twenty-three patients were monitored continuously in a home-like situation for approximately 3 hours while they carried out normal daily-life activities. Behavior and comments of patients during the experiment were used to determine the on and off periods by a trained observer. Behavior of the patients was measured using triaxial accelerometers, which were placed at six different positions on the body. Parameters related to hypokinesia (percentage movement), bradykinesia (mean velocity), and tremor (percentage peak frequencies above 4 Hz) were used to distinguish between on and off states. The on-off detection was evaluated using sensitivity and specificity. The performance for each patient was defined as the average of the sensitivity and specificity. The best performance to classify on and off states was obtained by analysis of movements in the frequency domain with a sensitivity of 0.97 and a specificity of 0.97. We conclude that our algorithm can distinguish between on and off states with a sensitivity and specificity near 0.97. This method, together with our previously published method to detect levodopa-induced dyskinesia, can automatically assess the motor state of Parkinson's disease patients and can operate successfully in unsupervised ambulatory conditions.</s0></fC01><fC02 i1="01" i2="X"><s0>002B17</s0></fC02><fC02 i1="02" i2="X"><s0>002B17G</s0></fC02><fC02 i1="03" i2="X"><s0>002B17A03</s0></fC02><fC03 i1="01" i2="X" l="FRE"><s0>Système nerveux pathologie</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="ENG"><s0>Nervous system diseases</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="SPA"><s0>Sistema nervioso patología</s0><s5>01</s5></fC03><fC03 i1="02" i2="X" l="FRE"><s0>Parkinson maladie</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="ENG"><s0>Parkinson disease</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="SPA"><s0>Parkinson enfermedad</s0><s5>02</s5></fC03><fC03 i1="03" i2="X" l="FRE"><s0>Ambulatoire</s0><s5>09</s5></fC03><fC03 i1="03" i2="X" l="ENG"><s0>Ambulatory</s0><s5>09</s5></fC03><fC03 i1="03" i2="X" l="SPA"><s0>Ambulatorio</s0><s5>09</s5></fC03><fC03 i1="04" i2="X" l="FRE"><s0>Fluctuation</s0><s5>10</s5></fC03><fC03 i1="04" i2="X" l="ENG"><s0>Fluctuations</s0><s5>10</s5></fC03><fC03 i1="04" i2="X" l="SPA"><s0>Fluctuación</s0><s5>10</s5></fC03><fC03 i1="05" i2="X" l="FRE"><s0>Accéléromètre</s0><s5>11</s5></fC03><fC03 i1="05" i2="X" l="ENG"><s0>Accelerometer</s0><s5>11</s5></fC03><fC03 i1="05" i2="X" l="SPA"><s0>Acelerómetro</s0><s5>11</s5></fC03><fC03 i1="06" i2="X" l="FRE"><s0>Vie quotidienne</s0><s5>12</s5></fC03><fC03 i1="06" i2="X" l="ENG"><s0>Daily living</s0><s5>12</s5></fC03><fC03 i1="06" i2="X" l="SPA"><s0>Vida cotidiana</s0><s5>12</s5></fC03><fC07 i1="01" i2="X" l="FRE"><s0>Encéphale pathologie</s0><s5>37</s5></fC07><fC07 i1="01" i2="X" l="ENG"><s0>Cerebral disorder</s0><s5>37</s5></fC07><fC07 i1="01" i2="X" l="SPA"><s0>Encéfalo patología</s0><s5>37</s5></fC07><fC07 i1="02" i2="X" l="FRE"><s0>Extrapyramidal syndrome</s0><s5>38</s5></fC07><fC07 i1="02" i2="X" l="ENG"><s0>Extrapyramidal syndrome</s0><s5>38</s5></fC07><fC07 i1="02" i2="X" l="SPA"><s0>Extrapiramidal síndrome</s0><s5>38</s5></fC07><fC07 i1="03" i2="X" l="FRE"><s0>Maladie dégénérative</s0><s5>39</s5></fC07><fC07 i1="03" i2="X" l="ENG"><s0>Degenerative disease</s0><s5>39</s5></fC07><fC07 i1="03" i2="X" l="SPA"><s0>Enfermedad degenerativa</s0><s5>39</s5></fC07><fC07 i1="04" i2="X" l="FRE"><s0>Système nerveux central pathologie</s0><s5>40</s5></fC07><fC07 i1="04" i2="X" l="ENG"><s0>Central nervous system disease</s0><s5>40</s5></fC07><fC07 i1="04" i2="X" l="SPA"><s0>Sistema nervosio central patología</s0><s5>40</s5></fC07><fN21><s1>086</s1></fN21><fN44 i1="01"><s1>OTO</s1></fN44><fN82><s1>OTO</s1></fN82></pA></standard></inist></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Santé/explor/MovDisordV3/Data/PascalFrancis/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001030 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 001030 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Santé
|area= MovDisordV3
|flux= PascalFrancis
|étape= Curation
|type= RBID
|clé= Pascal:06-0135491
|texte= Ambulatory motor assessment in Parkinson's disease
}}
| This area was generated with Dilib version V0.6.23. |  |