Accelerometry Data in Health Research: Challenges and Opportunities View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01-12

AUTHORS

Marta Karas, Jiawei Bai, Marcin Strączkiewicz, Jaroslaw Harezlak, Nancy W. Glynn, Tamara Harris, Vadim Zipunnikov, Ciprian Crainiceanu, Jacek K. Urbanek

ABSTRACT

Wearable accelerometers provide detailed, objective, and continuous measurements of physical activity (PA). Recent advances in technology and the decreasing cost of wearable devices led to an explosion in the popularity of wearable technology in health research. An ever-increasing number of studies collect high-throughput, sub-second level raw acceleration data. In this paper, we discuss problems related to the collection and analysis of raw accelerometry data and refer to published solutions. In particular, we describe the size and complexity of the data, the within- and between-subject variability, and the effects of sensor location on the body. We also discuss challenges related to sampling frequency, device calibration, data labeling, and multiple PA monitors synchronization. We illustrate these points using the Developmental Epidemiological Cohort Study (DECOS), which collected raw accelerometry data on individuals both in a controlled and the free-living environment. More... »

PAGES

1-28

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12561-018-9227-2

DOI

http://dx.doi.org/10.1007/s12561-018-9227-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111390173


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Karas", 
        "givenName": "Marta", 
        "id": "sg:person.011753517126.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011753517126.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bai", 
        "givenName": "Jiawei", 
        "id": "sg:person.01146630304.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146630304.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indiana University Bloomington", 
          "id": "https://www.grid.ac/institutes/grid.411377.7", 
          "name": [
            "Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Str\u0105czkiewicz", 
        "givenName": "Marcin", 
        "id": "sg:person.07354565675.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07354565675.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indiana University Bloomington", 
          "id": "https://www.grid.ac/institutes/grid.411377.7", 
          "name": [
            "Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Harezlak", 
        "givenName": "Jaroslaw", 
        "id": "sg:person.01031106475.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031106475.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pittsburgh", 
          "id": "https://www.grid.ac/institutes/grid.21925.3d", 
          "name": [
            "Department of Epidemiology, Center for Aging and Population Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Glynn", 
        "givenName": "Nancy W.", 
        "id": "sg:person.01071554442.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071554442.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute on Aging", 
          "id": "https://www.grid.ac/institutes/grid.419475.a", 
          "name": [
            "Laboratory of Epidemiology Demography, and Biometry, National Institute on Aging, Bethesda, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Harris", 
        "givenName": "Tamara", 
        "id": "sg:person.010065171457.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010065171457.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zipunnikov", 
        "givenName": "Vadim", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Crainiceanu", 
        "givenName": "Ciprian", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Division of Geriatric Medicine and Gerontology, Department of Medicine, Center on Aging and Health, School of Medicine, Johns Hopkins University, Baltimore, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Urbanek", 
        "givenName": "Jacek K.", 
        "id": "sg:person.01245214145.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245214145.23"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3390/s130709183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000841667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000185657.86065.98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001622678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000185657.86065.98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001622678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000185657.86065.98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001622678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399b7e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004433363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399b7e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004433363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ypmed.2013.07.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004835136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0160644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006523944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eurpsy.2014.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006946027"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/biom.12382", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007582793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biostatistics/kxt029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009212053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehq451", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010520664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.00465.2009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011611841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e318158b504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011814532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e318158b504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011814532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gaitpost.2012.07.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013079489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gaitpost.2011.08.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013180685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/rssb.12007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014443952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0000000000000771", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014926190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0000000000000771", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014926190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0000000000000285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015699965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0000000000000285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015699965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399cf7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020774907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399cf7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020774907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399cf7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020774907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0000000000000840", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022312272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0000000000000840", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022312272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e31827f0d9c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022828288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e31827f0d9c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022828288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e31815a51b3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024501743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e31815a51b3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024501743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/biom.12236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025232595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000227542.43669.45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025777479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000227542.43669.45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025777479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/cpf.12127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027378156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/s140203188", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027436242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glt199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029224617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/2802083.2808393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031412311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.athoracsur.2013.05.092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031423416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0048577298971153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031684749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.00421.2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032608567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/s151229858", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033813904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e318161eaa5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034170826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e318161eaa5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034170826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399e5b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035445225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399e5b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035445225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mss.0b013e318150d42e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035595009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mss.0b013e318150d42e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035595009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jshs.2016.02.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035857566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.medengphy.2014.02.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037315446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bjsports-2014-093546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038046053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12931-016-0497-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038278139", 
          "https://doi.org/10.1186/s12931-016-0497-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12931-016-0497-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038278139", 
          "https://doi.org/10.1186/s12931-016-0497-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182a42a2d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038377939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182a42a2d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038377939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0000000000000924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038427689"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0000000000000924", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038427689"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399e0f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038844755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399e0f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038844755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40520-014-0287-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038953924", 
          "https://doi.org/10.1007/s40520-014-0287-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.medengphy.2015.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041703471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glu144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042713245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gaitpost.2016.11.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045040541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e318258cb36", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045225827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e318258cb36", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045225827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwm390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046744072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399bc8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047734562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/mss.0b013e3182399bc8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047734562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2010.1923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048090518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0967-3334/35/11/2183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049017012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000185651.59486.4e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049102374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000185651.59486.4e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049102374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000185651.59486.4e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049102374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0061691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052481282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-24646-6_1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052944211", 
          "https://doi.org/10.1007/978-3-540-24646-6_1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-24646-6_1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052944211", 
          "https://doi.org/10.1007/978-3-540-24646-6_1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0967-3334/30/4/r01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059123442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0967-3334/30/4/r01", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059123442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0967-3334/37/10/1757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059124473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0967-3334/37/10/1757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059124473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0967-3334/37/10/1785", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059124475"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1361-6579/38/1/n1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059133924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biostatistics/kxu045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059424674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glw026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059623262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jbhi.2014.2313039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061276863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/titb.2010.2050696", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061656916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1123/japa.17.1.17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062424854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1123/jpah.2.3.366", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062426780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.00628.2015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063198737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/12-ejs684", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064393348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0169649", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083401758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ypmed.2017.05.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085741481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/s17081838", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091100517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glx174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091819118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/182337", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091916288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/182337", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091916288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/182337", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091916288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ypmed.2017.10.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092438865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cct.2017.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092620830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cct.2017.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092620830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/conielecomp.2015.7086947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094744009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biostatistics/kxx073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099999844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biostatistics/kxx073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099999844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biostatistics/kxx073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099999844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biostatistics/kxx073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099999844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07420528.2017.1411359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100101679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07420528.2017.1411359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100101679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07420528.2017.1411359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100101679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1361-6579/aaa74d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100352800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1361-6579/aaa74d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100352800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1361-6579/aaa74d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100352800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/biom.12963", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106269957"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-01-12", 
    "datePublishedReg": "2019-01-12", 
    "description": "Wearable accelerometers provide detailed, objective, and continuous measurements of physical activity (PA). Recent advances in technology and the decreasing cost of wearable devices led to an explosion in the popularity of wearable technology in health research. An ever-increasing number of studies collect high-throughput, sub-second level raw acceleration data. In this paper, we discuss problems related to the collection and analysis of raw accelerometry data and refer to published solutions. In particular, we describe the size and complexity of the data, the within- and between-subject variability, and the effects of sensor location on the body. We also discuss challenges related to sampling frequency, device calibration, data labeling, and multiple PA monitors synchronization. We illustrate these points using the Developmental Epidemiological Cohort Study (DECOS), which collected raw accelerometry data on individuals both in a controlled and the free-living environment.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12561-018-9227-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2681644", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2438640", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2417830", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1041137", 
        "issn": [
          "1867-1764", 
          "1867-1772"
        ], 
        "name": "Statistics in Biosciences", 
        "type": "Periodical"
      }
    ], 
    "name": "Accelerometry Data in Health Research: Challenges and Opportunities", 
    "pagination": "1-28", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "81762b01f894311643dbfee56f83cd460c52e0e83422ce472f3da64b4359782a"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12561-018-9227-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111390173"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12561-018-9227-2", 
      "https://app.dimensions.ai/details/publication/pub.1111390173"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:40", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000319_0000000319/records_11205_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12561-018-9227-2"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12561-018-9227-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12561-018-9227-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12561-018-9227-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12561-018-9227-2'


 

This table displays all metadata directly associated to this object as RDF triples.

356 TRIPLES      21 PREDICATES      100 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12561-018-9227-2 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Nd31c9fb6ce2d4e34a2d1df53c50dee1c
4 schema:citation sg:pub.10.1007/978-3-540-24646-6_1
5 sg:pub.10.1007/s40520-014-0287-y
6 sg:pub.10.1186/s12931-016-0497-2
7 https://doi.org/10.1001/jama.2010.1923
8 https://doi.org/10.1016/j.athoracsur.2013.05.092
9 https://doi.org/10.1016/j.cct.2017.11.002
10 https://doi.org/10.1016/j.eurpsy.2014.04.006
11 https://doi.org/10.1016/j.gaitpost.2011.08.022
12 https://doi.org/10.1016/j.gaitpost.2012.07.012
13 https://doi.org/10.1016/j.gaitpost.2016.11.045
14 https://doi.org/10.1016/j.jshs.2016.02.002
15 https://doi.org/10.1016/j.medengphy.2014.02.006
16 https://doi.org/10.1016/j.medengphy.2015.02.003
17 https://doi.org/10.1016/j.ypmed.2013.07.017
18 https://doi.org/10.1016/j.ypmed.2017.05.030
19 https://doi.org/10.1016/j.ypmed.2017.10.028
20 https://doi.org/10.1017/s0048577298971153
21 https://doi.org/10.1080/07420528.2017.1411359
22 https://doi.org/10.1088/0967-3334/30/4/r01
23 https://doi.org/10.1088/0967-3334/35/11/2183
24 https://doi.org/10.1088/0967-3334/37/10/1757
25 https://doi.org/10.1088/0967-3334/37/10/1785
26 https://doi.org/10.1088/1361-6579/38/1/n1
27 https://doi.org/10.1088/1361-6579/aaa74d
28 https://doi.org/10.1093/aje/kwm390
29 https://doi.org/10.1093/biostatistics/kxt029
30 https://doi.org/10.1093/biostatistics/kxu045
31 https://doi.org/10.1093/biostatistics/kxx073
32 https://doi.org/10.1093/eurheartj/ehq451
33 https://doi.org/10.1093/gerona/glt199
34 https://doi.org/10.1093/gerona/glu144
35 https://doi.org/10.1093/gerona/glw026
36 https://doi.org/10.1093/gerona/glx174
37 https://doi.org/10.1097/mss.0b013e318150d42e
38 https://doi.org/10.1101/182337
39 https://doi.org/10.1109/conielecomp.2015.7086947
40 https://doi.org/10.1109/jbhi.2014.2313039
41 https://doi.org/10.1109/titb.2010.2050696
42 https://doi.org/10.1111/biom.12236
43 https://doi.org/10.1111/biom.12382
44 https://doi.org/10.1111/biom.12963
45 https://doi.org/10.1111/cpf.12127
46 https://doi.org/10.1111/rssb.12007
47 https://doi.org/10.1123/japa.17.1.17
48 https://doi.org/10.1123/jpah.2.3.366
49 https://doi.org/10.1136/bjsports-2014-093546
50 https://doi.org/10.1145/2802083.2808393
51 https://doi.org/10.1152/japplphysiol.00421.2014
52 https://doi.org/10.1152/japplphysiol.00465.2009
53 https://doi.org/10.1152/japplphysiol.00628.2015
54 https://doi.org/10.1214/12-ejs684
55 https://doi.org/10.1249/01.mss.0000185651.59486.4e
56 https://doi.org/10.1249/01.mss.0000185657.86065.98
57 https://doi.org/10.1249/01.mss.0000227542.43669.45
58 https://doi.org/10.1249/mss.0000000000000285
59 https://doi.org/10.1249/mss.0000000000000771
60 https://doi.org/10.1249/mss.0000000000000840
61 https://doi.org/10.1249/mss.0000000000000924
62 https://doi.org/10.1249/mss.0b013e318158b504
63 https://doi.org/10.1249/mss.0b013e31815a51b3
64 https://doi.org/10.1249/mss.0b013e318161eaa5
65 https://doi.org/10.1249/mss.0b013e3182399b7e
66 https://doi.org/10.1249/mss.0b013e3182399bc8
67 https://doi.org/10.1249/mss.0b013e3182399cf7
68 https://doi.org/10.1249/mss.0b013e3182399e0f
69 https://doi.org/10.1249/mss.0b013e3182399e5b
70 https://doi.org/10.1249/mss.0b013e318258cb36
71 https://doi.org/10.1249/mss.0b013e31827f0d9c
72 https://doi.org/10.1249/mss.0b013e3182a42a2d
73 https://doi.org/10.1371/journal.pone.0061691
74 https://doi.org/10.1371/journal.pone.0160644
75 https://doi.org/10.1371/journal.pone.0169649
76 https://doi.org/10.3390/s130709183
77 https://doi.org/10.3390/s140203188
78 https://doi.org/10.3390/s151229858
79 https://doi.org/10.3390/s17081838
80 schema:datePublished 2019-01-12
81 schema:datePublishedReg 2019-01-12
82 schema:description Wearable accelerometers provide detailed, objective, and continuous measurements of physical activity (PA). Recent advances in technology and the decreasing cost of wearable devices led to an explosion in the popularity of wearable technology in health research. An ever-increasing number of studies collect high-throughput, sub-second level raw acceleration data. In this paper, we discuss problems related to the collection and analysis of raw accelerometry data and refer to published solutions. In particular, we describe the size and complexity of the data, the within- and between-subject variability, and the effects of sensor location on the body. We also discuss challenges related to sampling frequency, device calibration, data labeling, and multiple PA monitors synchronization. We illustrate these points using the Developmental Epidemiological Cohort Study (DECOS), which collected raw accelerometry data on individuals both in a controlled and the free-living environment.
83 schema:genre research_article
84 schema:inLanguage en
85 schema:isAccessibleForFree false
86 schema:isPartOf sg:journal.1041137
87 schema:name Accelerometry Data in Health Research: Challenges and Opportunities
88 schema:pagination 1-28
89 schema:productId Na603909a1fc14331bfe655892de07d06
90 Ndc21960201e24acabf113705c27f47f6
91 Ndf4a0b4522bd46148da782f16ad3eca8
92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111390173
93 https://doi.org/10.1007/s12561-018-9227-2
94 schema:sdDatePublished 2019-04-11T08:40
95 schema:sdLicense https://scigraph.springernature.com/explorer/license/
96 schema:sdPublisher N4fa804c39f164bed90bcc4e046d51722
97 schema:url https://link.springer.com/10.1007%2Fs12561-018-9227-2
98 sgo:license sg:explorer/license/
99 sgo:sdDataset articles
100 rdf:type schema:ScholarlyArticle
101 N0785cc0c3d7241b28bbd36b172a6db2b rdf:first sg:person.07354565675.45
102 rdf:rest Nbab4009460e94d2ab99f33a74ecc9013
103 N201ea5c1838346e89b4b270ef404a56a rdf:first sg:person.01071554442.03
104 rdf:rest Ncd08f4f13b214207b8ca9c3d8e8947ec
105 N43eac68799a64df8bad19326b70809cd schema:affiliation https://www.grid.ac/institutes/grid.21107.35
106 schema:familyName Zipunnikov
107 schema:givenName Vadim
108 rdf:type schema:Person
109 N4bf516313ebf45f8af92d609d58369f2 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
110 schema:familyName Crainiceanu
111 schema:givenName Ciprian
112 rdf:type schema:Person
113 N4fa804c39f164bed90bcc4e046d51722 schema:name Springer Nature - SN SciGraph project
114 rdf:type schema:Organization
115 N6b5e6f42184b4f4ea86ba690b444b3e5 rdf:first N4bf516313ebf45f8af92d609d58369f2
116 rdf:rest Nf8ead86b2eb5452fb1901e2d95d7c691
117 Na603909a1fc14331bfe655892de07d06 schema:name doi
118 schema:value 10.1007/s12561-018-9227-2
119 rdf:type schema:PropertyValue
120 Nb8544d48998840f79fe4068c8758520b rdf:first sg:person.01146630304.25
121 rdf:rest N0785cc0c3d7241b28bbd36b172a6db2b
122 Nbab4009460e94d2ab99f33a74ecc9013 rdf:first sg:person.01031106475.39
123 rdf:rest N201ea5c1838346e89b4b270ef404a56a
124 Nbaf5a3d883d74970af84f8aebc74b6c9 rdf:first N43eac68799a64df8bad19326b70809cd
125 rdf:rest N6b5e6f42184b4f4ea86ba690b444b3e5
126 Ncd08f4f13b214207b8ca9c3d8e8947ec rdf:first sg:person.010065171457.69
127 rdf:rest Nbaf5a3d883d74970af84f8aebc74b6c9
128 Nd31c9fb6ce2d4e34a2d1df53c50dee1c rdf:first sg:person.011753517126.58
129 rdf:rest Nb8544d48998840f79fe4068c8758520b
130 Ndc21960201e24acabf113705c27f47f6 schema:name dimensions_id
131 schema:value pub.1111390173
132 rdf:type schema:PropertyValue
133 Ndf4a0b4522bd46148da782f16ad3eca8 schema:name readcube_id
134 schema:value 81762b01f894311643dbfee56f83cd460c52e0e83422ce472f3da64b4359782a
135 rdf:type schema:PropertyValue
136 Nf8ead86b2eb5452fb1901e2d95d7c691 rdf:first sg:person.01245214145.23
137 rdf:rest rdf:nil
138 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
139 schema:name Medical and Health Sciences
140 rdf:type schema:DefinedTerm
141 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
142 schema:name Public Health and Health Services
143 rdf:type schema:DefinedTerm
144 sg:grant.2417830 http://pending.schema.org/fundedItem sg:pub.10.1007/s12561-018-9227-2
145 rdf:type schema:MonetaryGrant
146 sg:grant.2438640 http://pending.schema.org/fundedItem sg:pub.10.1007/s12561-018-9227-2
147 rdf:type schema:MonetaryGrant
148 sg:grant.2681644 http://pending.schema.org/fundedItem sg:pub.10.1007/s12561-018-9227-2
149 rdf:type schema:MonetaryGrant
150 sg:journal.1041137 schema:issn 1867-1764
151 1867-1772
152 schema:name Statistics in Biosciences
153 rdf:type schema:Periodical
154 sg:person.010065171457.69 schema:affiliation https://www.grid.ac/institutes/grid.419475.a
155 schema:familyName Harris
156 schema:givenName Tamara
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010065171457.69
158 rdf:type schema:Person
159 sg:person.01031106475.39 schema:affiliation https://www.grid.ac/institutes/grid.411377.7
160 schema:familyName Harezlak
161 schema:givenName Jaroslaw
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031106475.39
163 rdf:type schema:Person
164 sg:person.01071554442.03 schema:affiliation https://www.grid.ac/institutes/grid.21925.3d
165 schema:familyName Glynn
166 schema:givenName Nancy W.
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071554442.03
168 rdf:type schema:Person
169 sg:person.01146630304.25 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
170 schema:familyName Bai
171 schema:givenName Jiawei
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146630304.25
173 rdf:type schema:Person
174 sg:person.011753517126.58 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
175 schema:familyName Karas
176 schema:givenName Marta
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011753517126.58
178 rdf:type schema:Person
179 sg:person.01245214145.23 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
180 schema:familyName Urbanek
181 schema:givenName Jacek K.
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01245214145.23
183 rdf:type schema:Person
184 sg:person.07354565675.45 schema:affiliation https://www.grid.ac/institutes/grid.411377.7
185 schema:familyName Strączkiewicz
186 schema:givenName Marcin
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07354565675.45
188 rdf:type schema:Person
189 sg:pub.10.1007/978-3-540-24646-6_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052944211
190 https://doi.org/10.1007/978-3-540-24646-6_1
191 rdf:type schema:CreativeWork
192 sg:pub.10.1007/s40520-014-0287-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1038953924
193 https://doi.org/10.1007/s40520-014-0287-y
194 rdf:type schema:CreativeWork
195 sg:pub.10.1186/s12931-016-0497-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038278139
196 https://doi.org/10.1186/s12931-016-0497-2
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1001/jama.2010.1923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048090518
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.athoracsur.2013.05.092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031423416
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.cct.2017.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092620830
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.eurpsy.2014.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006946027
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.gaitpost.2011.08.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013180685
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.gaitpost.2012.07.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013079489
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.gaitpost.2016.11.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045040541
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.jshs.2016.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035857566
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.medengphy.2014.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037315446
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.medengphy.2015.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041703471
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.ypmed.2013.07.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004835136
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.ypmed.2017.05.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085741481
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.ypmed.2017.10.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092438865
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1017/s0048577298971153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031684749
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1080/07420528.2017.1411359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100101679
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1088/0967-3334/30/4/r01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059123442
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1088/0967-3334/35/11/2183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049017012
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1088/0967-3334/37/10/1757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059124473
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1088/0967-3334/37/10/1785 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059124475
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1088/1361-6579/38/1/n1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059133924
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1088/1361-6579/aaa74d schema:sameAs https://app.dimensions.ai/details/publication/pub.1100352800
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1093/aje/kwm390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046744072
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1093/biostatistics/kxt029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009212053
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1093/biostatistics/kxu045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059424674
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1093/biostatistics/kxx073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099999844
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1093/eurheartj/ehq451 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010520664
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1093/gerona/glt199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029224617
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1093/gerona/glu144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042713245
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1093/gerona/glw026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059623262
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1093/gerona/glx174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091819118
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1097/mss.0b013e318150d42e schema:sameAs https://app.dimensions.ai/details/publication/pub.1035595009
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1101/182337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091916288
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1109/conielecomp.2015.7086947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094744009
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1109/jbhi.2014.2313039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061276863
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1109/titb.2010.2050696 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061656916
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1111/biom.12236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025232595
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1111/biom.12382 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007582793
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1111/biom.12963 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106269957
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1111/cpf.12127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027378156
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1111/rssb.12007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014443952
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1123/japa.17.1.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062424854
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1123/jpah.2.3.366 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062426780
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1136/bjsports-2014-093546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038046053
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1145/2802083.2808393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031412311
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1152/japplphysiol.00421.2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032608567
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1152/japplphysiol.00465.2009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011611841
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1152/japplphysiol.00628.2015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063198737
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1214/12-ejs684 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064393348
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1249/01.mss.0000185651.59486.4e schema:sameAs https://app.dimensions.ai/details/publication/pub.1049102374
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1249/01.mss.0000185657.86065.98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001622678
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1249/01.mss.0000227542.43669.45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025777479
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1249/mss.0000000000000285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015699965
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1249/mss.0000000000000771 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014926190
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1249/mss.0000000000000840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022312272
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1249/mss.0000000000000924 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038427689
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1249/mss.0b013e318158b504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011814532
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1249/mss.0b013e31815a51b3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024501743
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1249/mss.0b013e318161eaa5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034170826
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1249/mss.0b013e3182399b7e schema:sameAs https://app.dimensions.ai/details/publication/pub.1004433363
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1249/mss.0b013e3182399bc8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047734562
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1249/mss.0b013e3182399cf7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020774907
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1249/mss.0b013e3182399e0f schema:sameAs https://app.dimensions.ai/details/publication/pub.1038844755
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1249/mss.0b013e3182399e5b schema:sameAs https://app.dimensions.ai/details/publication/pub.1035445225
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1249/mss.0b013e318258cb36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045225827
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1249/mss.0b013e31827f0d9c schema:sameAs https://app.dimensions.ai/details/publication/pub.1022828288
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1249/mss.0b013e3182a42a2d schema:sameAs https://app.dimensions.ai/details/publication/pub.1038377939
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1371/journal.pone.0061691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052481282
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1371/journal.pone.0160644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006523944
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1371/journal.pone.0169649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083401758
335 rdf:type schema:CreativeWork
336 https://doi.org/10.3390/s130709183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000841667
337 rdf:type schema:CreativeWork
338 https://doi.org/10.3390/s140203188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027436242
339 rdf:type schema:CreativeWork
340 https://doi.org/10.3390/s151229858 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033813904
341 rdf:type schema:CreativeWork
342 https://doi.org/10.3390/s17081838 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091100517
343 rdf:type schema:CreativeWork
344 https://www.grid.ac/institutes/grid.21107.35 schema:alternateName Johns Hopkins University
345 schema:name Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
346 Division of Geriatric Medicine and Gerontology, Department of Medicine, Center on Aging and Health, School of Medicine, Johns Hopkins University, Baltimore, USA
347 rdf:type schema:Organization
348 https://www.grid.ac/institutes/grid.21925.3d schema:alternateName University of Pittsburgh
349 schema:name Department of Epidemiology, Center for Aging and Population Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
350 rdf:type schema:Organization
351 https://www.grid.ac/institutes/grid.411377.7 schema:alternateName Indiana University Bloomington
352 schema:name Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, USA
353 rdf:type schema:Organization
354 https://www.grid.ac/institutes/grid.419475.a schema:alternateName National Institute on Aging
355 schema:name Laboratory of Epidemiology Demography, and Biometry, National Institute on Aging, Bethesda, USA
356 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...