BiopestPeptidV1, Main, Exploration, bibRecord, 000A97

Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.

Identifieur interne : 000A97 ( Main/Exploration ); précédent : 000A96; suivant : 000A98

Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.

Auteurs : Kamuran Turksoy [États-Unis] ; Colleen Monforti [États-Unis] ; Minsun Park [États-Unis] ; Garett Griffith [États-Unis] ; Laurie Quinn [États-Unis] ; Ali Cinar [États-Unis]

Source :

Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2017.

RBID : pubmed:28272368

Descripteurs français

KwdFr :
- Dispositifs électroniques portables (MeSH), Glycémie (MeSH), Hypoglycémiants (MeSH), Insuline (MeSH), Pancréas artificiel (MeSH), Pompes à insuline (MeSH).
MESH :
- Dispositifs électroniques portables, Glycémie, Hypoglycémiants, Insuline, Pancréas artificiel, Pompes à insuline.

English descriptors

KwdEn :
- Blood Glucose (MeSH), Hypoglycemic Agents (MeSH), Insulin (MeSH), Insulin Infusion Systems (MeSH), Pancreas, Artificial (MeSH), Wearable Electronic Devices (MeSH).
MESH :
- chemical : Blood Glucose, Hypoglycemic Agents, Insulin.
- Insulin Infusion Systems, Pancreas, Artificial, Wearable Electronic Devices.

Abstract

An artificial pancreas (AP) computes the optimal insulin dose to be infused through an insulin pump in people with Type 1 Diabetes (T1D) based on information received from a continuous glucose monitoring (CGM) sensor. It has been recognized that exercise is a major challenge in the development of an AP system. The use of biometric physiological variables in an AP system may be beneficial for prevention of exercise-induced challenges and better glucose regulation. The goal of the present study is to find a correlation between biometric variables such as heart rate (HR), heat flux (HF), skin temperature (ST), near-body temperature (NBT), galvanic skin response (GSR), and energy expenditure (EE), 2D acceleration-mean of absolute difference (MAD) and changes in glucose concentrations during exercise via partial least squares (PLS) regression and variable importance in projection (VIP) in order to determine which variables would be most useful to include in a future artificial pancreas. PLS and VIP analyses were performed on data sets that included seven different types of exercises. Data were collected from 26 clinical experiments. Clinical results indicate ST to be the most consistently important (important for six out of seven tested exercises) variable over all different exercises tested. EE and HR are also found to be important variables over several types of exercise. We also found that the importance of GSR and NBT observed in our experiments might be related to stress and the effect of changes in environmental temperature on glucose concentrations. The use of the biometric measurements in an AP system may provide better control of glucose concentration.

DOI: 10.3390/s17030532
PubMed: 28272368
PubMed Central: PMC5375818

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000D56
to stream Main, to step Curation: 000D56

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.</title>
<author><name sortKey="Turksoy, Kamuran" sort="Turksoy, Kamuran" uniqKey="Turksoy K" first="Kamuran" last="Turksoy">Kamuran Turksoy</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616, USA. kturksoy@iit.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Monforti, Colleen" sort="Monforti, Colleen" uniqKey="Monforti C" first="Colleen" last="Monforti">Colleen Monforti</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616, USA. cmonfort@hawk.iit.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Park, Minsun" sort="Park, Minsun" uniqKey="Park M" first="Minsun" last="Park">Minsun Park</name>
<affiliation wicri:level="4"><nlm:affiliation>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612, USA. mpark61@uic.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612</wicri:regionArea>
<placeName><region type="state">Illinois</region>
<settlement type="city">Chicago</settlement>
</placeName>
<orgName type="university">Université de l'Illinois à Chicago</orgName>
</affiliation>
</author>
<author><name sortKey="Griffith, Garett" sort="Griffith, Garett" uniqKey="Griffith G" first="Garett" last="Griffith">Garett Griffith</name>
<affiliation wicri:level="4"><nlm:affiliation>Integrative Physiology Laboratory, University of Illinois at Chicago, 1640 W. Roosevelt Rd., Chicago, IL 60612, USA. gjgriff@uic.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Integrative Physiology Laboratory, University of Illinois at Chicago, 1640 W. Roosevelt Rd., Chicago, IL 60612</wicri:regionArea>
<placeName><region type="state">Illinois</region>
<settlement type="city">Chicago</settlement>
</placeName>
<orgName type="university">Université de l'Illinois à Chicago</orgName>
</affiliation>
</author>
<author><name sortKey="Quinn, Laurie" sort="Quinn, Laurie" uniqKey="Quinn L" first="Laurie" last="Quinn">Laurie Quinn</name>
<affiliation wicri:level="4"><nlm:affiliation>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612, USA. lquinn1@uic.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612</wicri:regionArea>
<placeName><region type="state">Illinois</region>
<settlement type="city">Chicago</settlement>
</placeName>
<orgName type="university">Université de l'Illinois à Chicago</orgName>
</affiliation>
</author>
<author><name sortKey="Cinar, Ali" sort="Cinar, Ali" uniqKey="Cinar A" first="Ali" last="Cinar">Ali Cinar</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616, USA. cinar@iit.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:affiliation>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616, USA. cinar@iit.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2017">2017</date>
<idno type="RBID">pubmed:28272368</idno>
<idno type="pmid">28272368</idno>
<idno type="doi">10.3390/s17030532</idno>
<idno type="pmc">PMC5375818</idno>
<idno type="wicri:Area/Main/Corpus">000D56</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000D56</idno>
<idno type="wicri:Area/Main/Curation">000D56</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000D56</idno>
<idno type="wicri:Area/Main/Exploration">000D56</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.</title>
<author><name sortKey="Turksoy, Kamuran" sort="Turksoy, Kamuran" uniqKey="Turksoy K" first="Kamuran" last="Turksoy">Kamuran Turksoy</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616, USA. kturksoy@iit.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Monforti, Colleen" sort="Monforti, Colleen" uniqKey="Monforti C" first="Colleen" last="Monforti">Colleen Monforti</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616, USA. cmonfort@hawk.iit.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Park, Minsun" sort="Park, Minsun" uniqKey="Park M" first="Minsun" last="Park">Minsun Park</name>
<affiliation wicri:level="4"><nlm:affiliation>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612, USA. mpark61@uic.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612</wicri:regionArea>
<placeName><region type="state">Illinois</region>
<settlement type="city">Chicago</settlement>
</placeName>
<orgName type="university">Université de l'Illinois à Chicago</orgName>
</affiliation>
</author>
<author><name sortKey="Griffith, Garett" sort="Griffith, Garett" uniqKey="Griffith G" first="Garett" last="Griffith">Garett Griffith</name>
<affiliation wicri:level="4"><nlm:affiliation>Integrative Physiology Laboratory, University of Illinois at Chicago, 1640 W. Roosevelt Rd., Chicago, IL 60612, USA. gjgriff@uic.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Integrative Physiology Laboratory, University of Illinois at Chicago, 1640 W. Roosevelt Rd., Chicago, IL 60612</wicri:regionArea>
<placeName><region type="state">Illinois</region>
<settlement type="city">Chicago</settlement>
</placeName>
<orgName type="university">Université de l'Illinois à Chicago</orgName>
</affiliation>
</author>
<author><name sortKey="Quinn, Laurie" sort="Quinn, Laurie" uniqKey="Quinn L" first="Laurie" last="Quinn">Laurie Quinn</name>
<affiliation wicri:level="4"><nlm:affiliation>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612, USA. lquinn1@uic.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612</wicri:regionArea>
<placeName><region type="state">Illinois</region>
<settlement type="city">Chicago</settlement>
</placeName>
<orgName type="university">Université de l'Illinois à Chicago</orgName>
</affiliation>
</author>
<author><name sortKey="Cinar, Ali" sort="Cinar, Ali" uniqKey="Cinar A" first="Ali" last="Cinar">Ali Cinar</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616, USA. cinar@iit.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:affiliation>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616, USA. cinar@iit.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">Sensors (Basel, Switzerland)</title>
<idno type="eISSN">1424-8220</idno>
<imprint><date when="2017" type="published">2017</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Blood Glucose (MeSH)</term>
<term>Hypoglycemic Agents (MeSH)</term>
<term>Insulin (MeSH)</term>
<term>Insulin Infusion Systems (MeSH)</term>
<term>Pancreas, Artificial (MeSH)</term>
<term>Wearable Electronic Devices (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Dispositifs électroniques portables (MeSH)</term>
<term>Glycémie (MeSH)</term>
<term>Hypoglycémiants (MeSH)</term>
<term>Insuline (MeSH)</term>
<term>Pancréas artificiel (MeSH)</term>
<term>Pompes à insuline (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" xml:lang="en"><term>Blood Glucose</term>
<term>Hypoglycemic Agents</term>
<term>Insulin</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Insulin Infusion Systems</term>
<term>Pancreas, Artificial</term>
<term>Wearable Electronic Devices</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Dispositifs électroniques portables</term>
<term>Glycémie</term>
<term>Hypoglycémiants</term>
<term>Insuline</term>
<term>Pancréas artificiel</term>
<term>Pompes à insuline</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">An artificial pancreas (AP) computes the optimal insulin dose to be infused through an insulin pump in people with Type 1 Diabetes (T1D) based on information received from a continuous glucose monitoring (CGM) sensor. It has been recognized that exercise is a major challenge in the development of an AP system. The use of biometric physiological variables in an AP system may be beneficial for prevention of exercise-induced challenges and better glucose regulation. The goal of the present study is to find a correlation between biometric variables such as heart rate (HR), heat flux (HF), skin temperature (ST), near-body temperature (NBT), galvanic skin response (GSR), and energy expenditure (EE), 2D acceleration-mean of absolute difference (MAD) and changes in glucose concentrations during exercise via partial least squares (PLS) regression and variable importance in projection (VIP) in order to determine which variables would be most useful to include in a future artificial pancreas. PLS and VIP analyses were performed on data sets that included seven different types of exercises. Data were collected from 26 clinical experiments. Clinical results indicate ST to be the most consistently important (important for six out of seven tested exercises) variable over all different exercises tested. EE and HR are also found to be important variables over several types of exercise. We also found that the importance of GSR and NBT observed in our experiments might be related to stress and the effect of changes in environmental temperature on glucose concentrations. The use of the biometric measurements in an AP system may provide better control of glucose concentration.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">28272368</PMID>
<DateCompleted><Year>2018</Year>
<Month>05</Month>
<Day>29</Day>
</DateCompleted>
<DateRevised><Year>2019</Year>
<Month>01</Month>
<Day>11</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1424-8220</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>17</Volume>
<Issue>3</Issue>
<PubDate><Year>2017</Year>
<Month>Mar</Month>
<Day>07</Day>
</PubDate>
</JournalIssue>
<Title>Sensors (Basel, Switzerland)</Title>
<ISOAbbreviation>Sensors (Basel)</ISOAbbreviation>
</Journal>
<ArticleTitle>Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.</ArticleTitle>
<ELocationID EIdType="pii" ValidYN="Y">E532</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.3390/s17030532</ELocationID>
<Abstract><AbstractText>An artificial pancreas (AP) computes the optimal insulin dose to be infused through an insulin pump in people with Type 1 Diabetes (T1D) based on information received from a continuous glucose monitoring (CGM) sensor. It has been recognized that exercise is a major challenge in the development of an AP system. The use of biometric physiological variables in an AP system may be beneficial for prevention of exercise-induced challenges and better glucose regulation. The goal of the present study is to find a correlation between biometric variables such as heart rate (HR), heat flux (HF), skin temperature (ST), near-body temperature (NBT), galvanic skin response (GSR), and energy expenditure (EE), 2D acceleration-mean of absolute difference (MAD) and changes in glucose concentrations during exercise via partial least squares (PLS) regression and variable importance in projection (VIP) in order to determine which variables would be most useful to include in a future artificial pancreas. PLS and VIP analyses were performed on data sets that included seven different types of exercises. Data were collected from 26 clinical experiments. Clinical results indicate ST to be the most consistently important (important for six out of seven tested exercises) variable over all different exercises tested. EE and HR are also found to be important variables over several types of exercise. We also found that the importance of GSR and NBT observed in our experiments might be related to stress and the effect of changes in environmental temperature on glucose concentrations. The use of the biometric measurements in an AP system may provide better control of glucose concentration.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Turksoy</LastName>
<ForeName>Kamuran</ForeName>
<Initials>K</Initials>
<AffiliationInfo><Affiliation>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616, USA. kturksoy@iit.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Monforti</LastName>
<ForeName>Colleen</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616, USA. cmonfort@hawk.iit.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Park</LastName>
<ForeName>Minsun</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612, USA. mpark61@uic.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Griffith</LastName>
<ForeName>Garett</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Integrative Physiology Laboratory, University of Illinois at Chicago, 1640 W. Roosevelt Rd., Chicago, IL 60612, USA. gjgriff@uic.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Quinn</LastName>
<ForeName>Laurie</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612, USA. lquinn1@uic.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cinar</LastName>
<ForeName>Ali</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Department of Biomedical Engineering, Illinois Institute of Technology, 3255 S. Dearborn St., Chicago, IL 60616, USA. cinar@iit.edu.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W. 33rd St., Chicago, IL 60616, USA. cinar@iit.edu.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>DP3 DK101075</GrantID>
<Acronym>DK</Acronym>
<Agency>NIDDK NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>DP3 DK101077</GrantID>
<Acronym>DK</Acronym>
<Agency>NIDDK NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>UL1 TR000050</GrantID>
<Acronym>TR</Acronym>
<Agency>NCATS NIH HHS</Agency>
<Country>United States</Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2017</Year>
<Month>03</Month>
<Day>07</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>Switzerland</Country>
<MedlineTA>Sensors (Basel)</MedlineTA>
<NlmUniqueID>101204366</NlmUniqueID>
<ISSNLinking>1424-8220</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D001786">Blood Glucose</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D007004">Hypoglycemic Agents</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D007328">Insulin</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D001786" MajorTopicYN="N">Blood Glucose</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007004" MajorTopicYN="N">Hypoglycemic Agents</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007328" MajorTopicYN="N">Insulin</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007332" MajorTopicYN="N">Insulin Infusion Systems</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D019397" MajorTopicYN="N">Pancreas, Artificial</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000076251" MajorTopicYN="Y">Wearable Electronic Devices</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">artificial pancreas</Keyword>
<Keyword MajorTopicYN="N">biometric variables</Keyword>
<Keyword MajorTopicYN="N">exercise</Keyword>
<Keyword MajorTopicYN="N">partial least squares</Keyword>
<Keyword MajorTopicYN="N">type 1 diabetes</Keyword>
<Keyword MajorTopicYN="N">wearable sensors</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year>
<Month>10</Month>
<Day>25</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2017</Year>
<Month>03</Month>
<Day>02</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2017</Year>
<Month>03</Month>
<Day>03</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2017</Year>
<Month>3</Month>
<Day>9</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2017</Year>
<Month>3</Month>
<Day>9</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2018</Year>
<Month>5</Month>
<Day>31</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">28272368</ArticleId>
<ArticleId IdType="pii">s17030532</ArticleId>
<ArticleId IdType="doi">10.3390/s17030532</ArticleId>
<ArticleId IdType="pmc">PMC5375818</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>Diabetes Care. 1999 Mar;22(3):530-2</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10097946</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Ann Med Exp Biol Fenn. 1957;35(3):307-15</Citation>
<ArticleIdList><ArticleId IdType="pubmed">13470504</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Care. 2004 Jan;27 Suppl 1:S58-62</Citation>
<ArticleIdList><ArticleId IdType="pubmed">14693927</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2009 Jul 01;3(4):914-23</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20144341</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Psychosom Res. 2010 Jun;68(6):591-602</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20488277</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Care. 2011 Apr;34(4):801-6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21346182</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Care. 2012 Apr;35(4):669-75</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22374639</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes. 2012 Sep;61(9):2230-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22688340</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sensors (Basel). 2012;12(5):6075-101</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22778631</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Care. 2013 Mar;36(3):537-42</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23172972</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Annu Rev Control. 2012 Dec;36(2):255-266</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23175620</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Care. 2013 Apr;36(4):838-44</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23193217</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Pediatr Diabetes. 2013 May;14(3):159-67</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23448393</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Technol Ther. 2013 May;15(5):386-400</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23544672</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Care. 2013 Oct;36(10):2909-14</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23757427</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Compr Physiol. 2013 Jul;3(3):1309-36</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23897688</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Care. 2013 Dec;36(12):3882-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24170747</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Clin Endocrinol Metab. 2014 May;99(5):1701-11</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24483160</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>IEEE Trans Biomed Eng. 2014 Mar;61(3):883-91</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24557689</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Technol Ther. 2014 Aug;16(8):506-11</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24702135</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Diabetes Care. 2014;37(5):1184-90</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24757225</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2014 Jul;8(4):731-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24876412</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2014 Jan 1;8(1):64-69</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24876539</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2014 May;8(3):498-507</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24876613</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>N Engl J Med. 2014 Jul 24;371(4):313-325</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24931572</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2015 Jan;9(1):132-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25216731</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2015 Jan;9(1):80-5</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25231116</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2015 May;9(3):609-18</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25568144</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Environ Res. 2015 Feb;137:391-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25614340</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2015 Jun 30;9(6):1236-45</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26134831</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2015 Oct 01;9(6):1217-26</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26428933</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2015 Oct 06;9(6):1200-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26443291</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Diabetes Sci Technol. 2015 Oct 18;9(6):1185-91</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26481644</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sensors (Basel). 2016 Apr 23;16(4):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">27120602</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet Diabetes Endocrinol. 2017 May;5(5):377-390</Citation>
<ArticleIdList><ArticleId IdType="pubmed">28126459</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J S C Med Assoc. 1969 Dec;65(12):Suppl 1:25-33</Citation>
<ArticleIdList><ArticleId IdType="pubmed">5266354</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Acta Psychiatr Scand. 1983 Jun;67(6):361-70</Citation>
<ArticleIdList><ArticleId IdType="pubmed">6880820</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Illinois</li>
</region>
<settlement><li>Chicago</li>
</settlement>
<orgName><li>Université de l'Illinois à Chicago</li>
</orgName>
</list>
<tree><country name="États-Unis"><region name="Illinois"><name sortKey="Turksoy, Kamuran" sort="Turksoy, Kamuran" uniqKey="Turksoy K" first="Kamuran" last="Turksoy">Kamuran Turksoy</name>
</region>
<name sortKey="Cinar, Ali" sort="Cinar, Ali" uniqKey="Cinar A" first="Ali" last="Cinar">Ali Cinar</name>
<name sortKey="Cinar, Ali" sort="Cinar, Ali" uniqKey="Cinar A" first="Ali" last="Cinar">Ali Cinar</name>
<name sortKey="Griffith, Garett" sort="Griffith, Garett" uniqKey="Griffith G" first="Garett" last="Griffith">Garett Griffith</name>
<name sortKey="Monforti, Colleen" sort="Monforti, Colleen" uniqKey="Monforti C" first="Colleen" last="Monforti">Colleen Monforti</name>
<name sortKey="Park, Minsun" sort="Park, Minsun" uniqKey="Park M" first="Minsun" last="Park">Minsun Park</name>
<name sortKey="Quinn, Laurie" sort="Quinn, Laurie" uniqKey="Quinn L" first="Laurie" last="Quinn">Laurie Quinn</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Bois/explor/BiopestPeptidV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000A97 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000A97 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Bois
   |area=    BiopestPeptidV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:28272368
   |texte=   Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:28272368" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a BiopestPeptidV1

This area was generated with Dilib version V0.6.38.
Data generation: Thu Nov 19 19:22:35 2020. Site generation: Thu Nov 19 19:33:26 2020

	Serveur d'exploration sur les peptides biopesticides
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur les peptides biopesticides

Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.

Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki