Essential Tremor Quantification During Activities of Daily Living
Identifieur interne : 000330 ( Ncbi/Merge ); précédent : 000329; suivant : 000331Essential Tremor Quantification During Activities of Daily Living
Auteurs : Dustin Heldman [États-Unis] ; Joseph Jankovic [États-Unis] ; David Vaillancourt [États-Unis] ; Janey Prodoehl [États-Unis] ; Rodger Elble [États-Unis] ; Joseph Giuffrida [États-Unis]Source :
- Parkinsonism & related disorders [ 1353-8020 ] ; 2011.
Abstract
Essential tremor (ET), characterized primarily by postural and kinetic tremor, is typically measured in the clinic with subjective tremor rating scales. These ratings are often used to adjust medications and assess efficacy in clinical trials. However, tremor ratings require the presence of a clinician and do not necessarily capture tremor fluctuations throughout the day during activities of daily living (ADL).
To evaluate the ability of motion sensors to discriminate tremor from voluntary posture and motion, classify tremor as postural or kinetic, and rate tremor severity during standardized tasks and non-standardized activities of daily living.
Ten subjects with ET wore motion sensors on the index finger and performed standardized motor tasks from the Washington Heights-Inwood Genetic Study of Essential Tremor (WHIGET) tremor rating scale (wTRS) and non-standardized ADL tasks. Four movement disorder specialists independently rated video segments of the standardized tasks but not the ADL tasks. Quantitative features were extracted from the motion sensors and used to develop mathematical models for predicting rating scores from kinematic data.
The quantitative motion features were highly correlated with wTRS ratings for postural (r=0.90) and kinetic (r=0.80) tremors. Mathematical models produced tremor ratings that correlated strongly with clinician ratings of the wTRS tasks (mean r=0.80) and also produced ADL task ratings that correlated well with the most recent clinician wTRS ratings (mean r=0.72).
Recordings from motion sensors can be used to classify tremor as postural or kinetic and quantify tremor severity during both standardized and non-standardized activities.
Url:
DOI: 10.1016/j.parkreldis.2011.04.017
PubMed: 21570891
PubMed Central: 3137659
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<author><name sortKey="Giuffrida, Joseph P" sort="Giuffrida, Joseph P" uniqKey="Giuffrida J" first="Joseph" last="Giuffrida">Joseph Giuffrida</name>
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<front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title>
<p id="P1">Essential tremor (ET), characterized primarily by postural and kinetic tremor, is typically measured in the clinic with subjective tremor rating scales. These ratings are often used to adjust medications and assess efficacy in clinical trials. However, tremor ratings require the presence of a clinician and do not necessarily capture tremor fluctuations throughout the day during activities of daily living (ADL).</p>
</sec>
<sec id="S2"><title>Objective</title>
<p id="P2">To evaluate the ability of motion sensors to discriminate tremor from voluntary posture and motion, classify tremor as postural or kinetic, and rate tremor severity during standardized tasks and non-standardized activities of daily living.</p>
</sec>
<sec sec-type="methods" id="S3"><title>Methods</title>
<p id="P3">Ten subjects with ET wore motion sensors on the index finger and performed standardized motor tasks from the Washington Heights-Inwood Genetic Study of Essential Tremor (WHIGET) tremor rating scale (wTRS) and non-standardized ADL tasks. Four movement disorder specialists independently rated video segments of the standardized tasks but not the ADL tasks. Quantitative features were extracted from the motion sensors and used to develop mathematical models for predicting rating scores from kinematic data.</p>
</sec>
<sec id="S4"><title>Results</title>
<p id="P4">The quantitative motion features were highly correlated with wTRS ratings for postural (r=0.90) and kinetic (r=0.80) tremors. Mathematical models produced tremor ratings that correlated strongly with clinician ratings of the wTRS tasks (mean r=0.80) and also produced ADL task ratings that correlated well with the most recent clinician wTRS ratings (mean r=0.72).</p>
</sec>
<sec id="S5"><title>Conclusions</title>
<p id="P5">Recordings from motion sensors can be used to classify tremor as postural or kinetic and quantify tremor severity during both standardized and non-standardized activities.</p>
</sec>
</div>
</front>
</TEI>
<pmc article-type="research-article" xml:lang="en"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9513583</journal-id>
<journal-id journal-id-type="pubmed-jr-id">21522</journal-id>
<journal-id journal-id-type="nlm-ta">Parkinsonism Relat Disord</journal-id>
<journal-title-group><journal-title>Parkinsonism & related disorders</journal-title>
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<issn pub-type="ppub">1353-8020</issn>
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<article-meta><article-id pub-id-type="pmid">21570891</article-id>
<article-id pub-id-type="pmc">3137659</article-id>
<article-id pub-id-type="doi">10.1016/j.parkreldis.2011.04.017</article-id>
<article-id pub-id-type="manuscript">NIHMS294811</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Essential Tremor Quantification During Activities of Daily Living</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Heldman</surname>
<given-names>Dustin A.</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Jankovic</surname>
<given-names>Joseph</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Vaillancourt</surname>
<given-names>David E.</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Prodoehl</surname>
<given-names>Janey</given-names>
</name>
<degrees>PT, PhD</degrees>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Elble</surname>
<given-names>Rodger J.</given-names>
</name>
<degrees>MD, PhD</degrees>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Giuffrida</surname>
<given-names>Joseph P.</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>1</label>
Division of Movement Disorders, CleveMed Inc., Cleveland, Ohio, USA</aff>
<aff id="A2"><label>2</label>
Department of Neurology, Parkinson Disease Center and Movement Disorders Clinic, Baylor College of Medicine, Houston, Texas, USA</aff>
<aff id="A3"><label>3</label>
Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, Illinois, USA</aff>
<aff id="A4"><label>4</label>
Department of Neurology, Parkinson Disease and Movement Disorders Clinic, Southern Illinois University School of Medicine, Springfield, Illinois, USA.</aff>
<author-notes><corresp id="cor1"><bold>All correspond to:</bold>
Dustin A. Heldman, PhD., CleveMed Inc., 4415 Euclid Ave. Suite 443, Cleveland, OH 44103, P: (216) 791-6720; F: (216) 791-6739, <email>dheldman@clevemed.com</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>10</day>
<month>5</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub"><day>13</day>
<month>5</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="ppub"><month>8</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>1</day>
<month>8</month>
<year>2012</year>
</pub-date>
<volume>17</volume>
<issue>7</issue>
<fpage>537</fpage>
<lpage>542</lpage>
<permissions><copyright-statement>© 2011 Elsevier Ltd. All rights reserved.</copyright-statement>
<copyright-year>2011</copyright-year>
</permissions>
<abstract><sec id="S1"><title>Background</title>
<p id="P1">Essential tremor (ET), characterized primarily by postural and kinetic tremor, is typically measured in the clinic with subjective tremor rating scales. These ratings are often used to adjust medications and assess efficacy in clinical trials. However, tremor ratings require the presence of a clinician and do not necessarily capture tremor fluctuations throughout the day during activities of daily living (ADL).</p>
</sec>
<sec id="S2"><title>Objective</title>
<p id="P2">To evaluate the ability of motion sensors to discriminate tremor from voluntary posture and motion, classify tremor as postural or kinetic, and rate tremor severity during standardized tasks and non-standardized activities of daily living.</p>
</sec>
<sec sec-type="methods" id="S3"><title>Methods</title>
<p id="P3">Ten subjects with ET wore motion sensors on the index finger and performed standardized motor tasks from the Washington Heights-Inwood Genetic Study of Essential Tremor (WHIGET) tremor rating scale (wTRS) and non-standardized ADL tasks. Four movement disorder specialists independently rated video segments of the standardized tasks but not the ADL tasks. Quantitative features were extracted from the motion sensors and used to develop mathematical models for predicting rating scores from kinematic data.</p>
</sec>
<sec id="S4"><title>Results</title>
<p id="P4">The quantitative motion features were highly correlated with wTRS ratings for postural (r=0.90) and kinetic (r=0.80) tremors. Mathematical models produced tremor ratings that correlated strongly with clinician ratings of the wTRS tasks (mean r=0.80) and also produced ADL task ratings that correlated well with the most recent clinician wTRS ratings (mean r=0.72).</p>
</sec>
<sec id="S5"><title>Conclusions</title>
<p id="P5">Recordings from motion sensors can be used to classify tremor as postural or kinetic and quantify tremor severity during both standardized and non-standardized activities.</p>
</sec>
</abstract>
<kwd-group><kwd>Essential tremor</kwd>
<kwd>tremor rating scale</kwd>
<kwd>Kinesia</kwd>
<kwd>gyroscopes</kwd>
<kwd>accelerometers</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
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<name sortKey="Vaillancourt, David E" sort="Vaillancourt, David E" uniqKey="Vaillancourt D" first="David" last="Vaillancourt">David Vaillancourt</name>
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