A review of wearable sensors and systems with application in rehabilitation
Identifieur interne : 000443 ( Pmc/Checkpoint ); précédent : 000442; suivant : 000444A review of wearable sensors and systems with application in rehabilitation
Auteurs : Shyamal Patel [États-Unis] ; Hyung Park [États-Unis] ; Paolo Bonato [États-Unis] ; Leighton Chan [États-Unis] ; Mary Rodgers [États-Unis]Source :
- Journal of NeuroEngineering and Rehabilitation [ 1743-0003 ] ; 2012.
Abstract
The aim of this review paper is to summarize recent developments in the field of wearable sensors and systems that are relevant to the field of rehabilitation. The growing body of work focused on the application of wearable technology to monitor older adults and subjects with chronic conditions in the home and community settings justifies the emphasis of this review paper on summarizing clinical applications of wearable technology currently undergoing assessment rather than describing the development of new wearable sensors and systems. A short description of key enabling technologies (i.e. sensor technology, communication technology, and data analysis techniques) that have allowed researchers to implement wearable systems is followed by a detailed description of major areas of application of wearable technology. Applications described in this review paper include those that focus on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders. The integration of wearable and ambient sensors is discussed in the context of achieving home monitoring of older adults and subjects with chronic conditions. Future work required to advance the field toward clinical deployment of wearable sensors and systems is discussed.
Url:
DOI: 10.1186/1743-0003-9-21
PubMed: 22520559
PubMed Central: 3354997
Affiliations:
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<front><div type="abstract" xml:lang="en"><p>The aim of this review paper is to summarize recent developments in the field of wearable sensors and systems that are relevant to the field of rehabilitation. The growing body of work focused on the application of wearable technology to monitor older adults and subjects with chronic conditions in the home and community settings justifies the emphasis of this review paper on summarizing clinical applications of wearable technology currently undergoing assessment rather than describing the development of new wearable sensors and systems. A short description of key enabling technologies (i.e. sensor technology, communication technology, and data analysis techniques) that have allowed researchers to implement wearable systems is followed by a detailed description of major areas of application of wearable technology. Applications described in this review paper include those that focus on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders. The integration of wearable and ambient sensors is discussed in the context of achieving home monitoring of older adults and subjects with chronic conditions. Future work required to advance the field toward clinical deployment of wearable sensors and systems is discussed.</p>
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<pmc article-type="review-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J Neuroeng Rehabil</journal-id>
<journal-id journal-id-type="iso-abbrev">J Neuroeng Rehabil</journal-id>
<journal-title-group><journal-title>Journal of NeuroEngineering and Rehabilitation</journal-title>
</journal-title-group>
<issn pub-type="epub">1743-0003</issn>
<publisher><publisher-name>BioMed Central</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">22520559</article-id>
<article-id pub-id-type="pmc">3354997</article-id>
<article-id pub-id-type="publisher-id">1743-0003-9-21</article-id>
<article-id pub-id-type="doi">10.1186/1743-0003-9-21</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Review</subject>
</subj-group>
</article-categories>
<title-group><article-title>A review of wearable sensors and systems with application in rehabilitation</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" id="A1"><name><surname>Patel</surname>
<given-names>Shyamal</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<email>spatel19@partners.org</email>
</contrib>
<contrib contrib-type="author" id="A2"><name><surname>Park</surname>
<given-names>Hyung</given-names>
</name>
<xref ref-type="aff" rid="I3">3</xref>
<email>parkhs@cc.nih.gov</email>
</contrib>
<contrib contrib-type="author" id="A3"><name><surname>Bonato</surname>
<given-names>Paolo</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I4">4</xref>
<email>pbonato@partners.org</email>
</contrib>
<contrib contrib-type="author" id="A4"><name><surname>Chan</surname>
<given-names>Leighton</given-names>
</name>
<xref ref-type="aff" rid="I3">3</xref>
<email>chanle@cc.nih.gov</email>
</contrib>
<contrib contrib-type="author" corresp="yes" id="A5"><name><surname>Rodgers</surname>
<given-names>Mary</given-names>
</name>
<xref ref-type="aff" rid="I5">5</xref>
<xref ref-type="aff" rid="I6">6</xref>
<email>MRodgers@som.umaryland.edu</email>
</contrib>
</contrib-group>
<aff id="I1"><label>1</label>
Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA</aff>
<aff id="I2"><label>2</label>
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA</aff>
<aff id="I3"><label>3</label>
Rehabilitation Medicine Department Clinical Center, National Institutes of Health, Bethesda, MD, USA</aff>
<aff id="I4"><label>4</label>
Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA</aff>
<aff id="I5"><label>5</label>
Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore, MD, USA</aff>
<aff id="I6"><label>6</label>
National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA</aff>
<pub-date pub-type="collection"><year>2012</year>
</pub-date>
<pub-date pub-type="epub"><day>20</day>
<month>4</month>
<year>2012</year>
</pub-date>
<volume>9</volume>
<fpage>21</fpage>
<lpage>21</lpage>
<history><date date-type="received"><day>10</day>
<month>10</month>
<year>2011</year>
</date>
<date date-type="accepted"><day>20</day>
<month>4</month>
<year>2012</year>
</date>
</history>
<permissions><copyright-statement>Copyright ©2012 Patel et al; licensee BioMed Central Ltd.</copyright-statement>
<copyright-year>2012</copyright-year>
<copyright-holder>Patel et al; licensee BioMed Central Ltd.</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.jneuroengrehab.com/content/9/1/21"></self-uri>
<abstract><p>The aim of this review paper is to summarize recent developments in the field of wearable sensors and systems that are relevant to the field of rehabilitation. The growing body of work focused on the application of wearable technology to monitor older adults and subjects with chronic conditions in the home and community settings justifies the emphasis of this review paper on summarizing clinical applications of wearable technology currently undergoing assessment rather than describing the development of new wearable sensors and systems. A short description of key enabling technologies (i.e. sensor technology, communication technology, and data analysis techniques) that have allowed researchers to implement wearable systems is followed by a detailed description of major areas of application of wearable technology. Applications described in this review paper include those that focus on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders. The integration of wearable and ambient sensors is discussed in the context of achieving home monitoring of older adults and subjects with chronic conditions. Future work required to advance the field toward clinical deployment of wearable sensors and systems is discussed.</p>
</abstract>
<kwd-group><kwd>Wearable sensors and systems</kwd>
<kwd>Home monitoring</kwd>
<kwd>Telemedicine</kwd>
<kwd>Smart home</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Maryland</li>
<li>Massachusetts</li>
</region>
</list>
<tree><country name="États-Unis"><region name="Massachusetts"><name sortKey="Patel, Shyamal" sort="Patel, Shyamal" uniqKey="Patel S" first="Shyamal" last="Patel">Shyamal Patel</name>
</region>
<name sortKey="Bonato, Paolo" sort="Bonato, Paolo" uniqKey="Bonato P" first="Paolo" last="Bonato">Paolo Bonato</name>
<name sortKey="Bonato, Paolo" sort="Bonato, Paolo" uniqKey="Bonato P" first="Paolo" last="Bonato">Paolo Bonato</name>
<name sortKey="Chan, Leighton" sort="Chan, Leighton" uniqKey="Chan L" first="Leighton" last="Chan">Leighton Chan</name>
<name sortKey="Park, Hyung" sort="Park, Hyung" uniqKey="Park H" first="Hyung" last="Park">Hyung Park</name>
<name sortKey="Patel, Shyamal" sort="Patel, Shyamal" uniqKey="Patel S" first="Shyamal" last="Patel">Shyamal Patel</name>
<name sortKey="Rodgers, Mary" sort="Rodgers, Mary" uniqKey="Rodgers M" first="Mary" last="Rodgers">Mary Rodgers</name>
<name sortKey="Rodgers, Mary" sort="Rodgers, Mary" uniqKey="Rodgers M" first="Mary" last="Rodgers">Mary Rodgers</name>
</country>
</tree>
</affiliations>
</record>
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