Quantitative wearable sensors for objective assessment of Parkinson's disease.
Identifieur interne : 000817 ( Main/Exploration ); précédent : 000816; suivant : 000818Quantitative wearable sensors for objective assessment of Parkinson's disease.
Auteurs : Walter Maetzler [Allemagne] ; Josefa Domingos ; Karin Srulijes ; Joaquim J. Ferreira ; Bastiaan R. BloemSource :
- Movement disorders : official journal of the Movement Disorder Society [ 1531-8257 ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- diagnosis : Parkinson Disease.
- instrumentation : Monitoring, Ambulatory.
- physiology : Gait.
- physiopathology : Parkinson Disease.
- Disabled Persons, Humans.
Abstract
There is a rapidly growing interest in the quantitative assessment of Parkinson's disease (PD)-associated signs and disability using wearable technology. Both persons with PD and their clinicians see advantages in such developments. Specifically, quantitative assessments using wearable technology may allow for continuous, unobtrusive, objective, and ecologically valid data collection. Also, this approach may improve patient-doctor interaction, influence therapeutic decisions, and ultimately ameliorate patients' global health status. In addition, such measures have the potential to be used as outcome parameters in clinical trials, allowing for frequent assessments; eg, in the home setting. This review discusses promising wearable technology, addresses which parameters should be prioritized in such assessment strategies, and reports about studies that have already investigated daily life issues in PD using this new technology.
DOI: 10.1002/mds.25628
PubMed: 24030855
Affiliations:
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Le document en format XML
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Ferreira</name></author><author><name sortKey="Bloem, Bastiaan R" sort="Bloem, Bastiaan R" uniqKey="Bloem B" first="Bastiaan R" last="Bloem">Bastiaan R. Bloem</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="RBID">pubmed:24030855</idno><idno type="pmid">24030855</idno><idno type="doi">10.1002/mds.25628</idno><idno type="wicri:Area/PubMed/Corpus">000776</idno><idno type="wicri:Area/PubMed/Curation">000776</idno><idno type="wicri:Area/PubMed/Checkpoint">000834</idno><idno type="wicri:Area/Ncbi/Merge">003D20</idno><idno type="wicri:Area/Ncbi/Curation">003D20</idno><idno type="wicri:Area/Ncbi/Checkpoint">003D20</idno><idno type="wicri:Area/Main/Merge">000817</idno><idno type="wicri:Area/Main/Curation">000817</idno><idno type="wicri:Area/Main/Exploration">000817</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Quantitative wearable sensors for objective assessment of Parkinson's disease.</title><author><name sortKey="Maetzler, Walter" sort="Maetzler, Walter" uniqKey="Maetzler W" first="Walter" last="Maetzler">Walter Maetzler</name><affiliation wicri:level="3"><nlm:affiliation>Hertie Institute for Clinical Brain Research, Department of Neurodegeneration, Center of Neurology, University of Tuebingen, Tuebingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Tuebingen, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Hertie Institute for Clinical Brain Research, Department of Neurodegeneration, Center of Neurology, University of Tuebingen, Tuebingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Tuebingen</wicri:regionArea><placeName><region type="land" nuts="1">Bade-Wurtemberg</region><region type="district" nuts="2">District de Tübingen</region><settlement type="city">Tübingen</settlement></placeName></affiliation></author><author><name sortKey="Domingos, Josefa" sort="Domingos, Josefa" uniqKey="Domingos J" first="Josefa" last="Domingos">Josefa Domingos</name></author><author><name sortKey="Srulijes, Karin" sort="Srulijes, Karin" uniqKey="Srulijes K" first="Karin" last="Srulijes">Karin Srulijes</name></author><author><name sortKey="Ferreira, Joaquim J" sort="Ferreira, Joaquim J" uniqKey="Ferreira J" first="Joaquim J" last="Ferreira">Joaquim J. Ferreira</name></author><author><name sortKey="Bloem, Bastiaan R" sort="Bloem, Bastiaan R" uniqKey="Bloem B" first="Bastiaan R" last="Bloem">Bastiaan R. Bloem</name></author></analytic><series><title level="j">Movement disorders : official journal of the Movement Disorder Society</title><idno type="eISSN">1531-8257</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Disabled Persons</term><term>Gait (physiology)</term><term>Humans</term><term>Monitoring, Ambulatory (instrumentation)</term><term>Parkinson Disease (diagnosis)</term><term>Parkinson Disease (physiopathology)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Monitoring, Ambulatory</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Gait</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Disabled Persons</term><term>Humans</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">There is a rapidly growing interest in the quantitative assessment of Parkinson's disease (PD)-associated signs and disability using wearable technology. Both persons with PD and their clinicians see advantages in such developments. Specifically, quantitative assessments using wearable technology may allow for continuous, unobtrusive, objective, and ecologically valid data collection. Also, this approach may improve patient-doctor interaction, influence therapeutic decisions, and ultimately ameliorate patients' global health status. In addition, such measures have the potential to be used as outcome parameters in clinical trials, allowing for frequent assessments; eg, in the home setting. This review discusses promising wearable technology, addresses which parameters should be prioritized in such assessment strategies, and reports about studies that have already investigated daily life issues in PD using this new technology.</div></front></TEI><affiliations><list><country><li>Allemagne</li></country><region><li>Bade-Wurtemberg</li><li>District de Tübingen</li></region><settlement><li>Tübingen</li></settlement></list><tree><noCountry><name sortKey="Bloem, Bastiaan R" sort="Bloem, Bastiaan R" uniqKey="Bloem B" first="Bastiaan R" last="Bloem">Bastiaan R. Bloem</name><name sortKey="Domingos, Josefa" sort="Domingos, Josefa" uniqKey="Domingos J" first="Josefa" last="Domingos">Josefa Domingos</name><name sortKey="Ferreira, Joaquim J" sort="Ferreira, Joaquim J" uniqKey="Ferreira J" first="Joaquim J" last="Ferreira">Joaquim J. Ferreira</name><name sortKey="Srulijes, Karin" sort="Srulijes, Karin" uniqKey="Srulijes K" first="Karin" last="Srulijes">Karin Srulijes</name></noCountry><country name="Allemagne"><region name="Bade-Wurtemberg"><name sortKey="Maetzler, Walter" sort="Maetzler, Walter" uniqKey="Maetzler W" first="Walter" last="Maetzler">Walter Maetzler</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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