Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Evaluation of physiological workload assessment methods using heart rate and accelerometry for a smart wearable system.
KTH Royal Institute of Technology.
KTH Royal Institute of Technology.
KTH Royal Institute of Technology.
Karolinska Institutet.
Vise andre og tillknytning
2019 (engelsk)Inngår i: Ergonomics, ISSN 0014-0139, E-ISSN 1366-5847, Vol. 62, nr 5, s. 694-705Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Work metabolism (WM) can be accurately estimated by oxygen consumption (VO2), which is commonly assessed by heart rate (HR) in field studies. However, the VO2-HR relationship is influenced by individual capacity and activity characteristics. The purpose of this study was to evaluate three models for estimating WM compared with indirect calorimetry, during simulated work activities. The techniques were: the HR-Flex model; HR branched model, combining HR with hip-worn accelerometers (ACC); and HR + arm-leg ACC model, combining HR with wrist- and thigh-worn ACC. Twelve participants performed five simulated work activities and three submaximal tests. The HR + arm-leg ACC model had the overall best performance with limits of agreement (LoA) of -3.94 and 2.00 mL/min/kg, while the HR-Flex model had -5.01 and 5.36 mL/min/kg and the branched model, -6.71 and 1.52 mL/min/kg. In conclusion, the HR + arm-leg ACC model should, when feasible, be preferred in wearable systems for WM estimation. Practitioner Summary: Work with high energy demand can impair employees' health and life quality. Three models were evaluated for estimating work metabolism during simulated tasks. The model combining heart rate, wrist- and thigh-worn accelerometers showed the best accuracy. This is, when feasible, suggested for wearable systems to assess work metabolism.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2019. Vol. 62, nr 5, s. 694-705
Emneord [en]
Heart rate, estimation models, motion sensing, risk assessment, wearable sensors, work metabolism
HSV kategori
Forskningsprogram
Medicin/Teknik
Identifikatorer
URN: urn:nbn:se:gih:diva-5702DOI: 10.1080/00140139.2019.1566579PubMedID: 30806164OAI: oai:DiVA.org:gih-5702DiVA, id: diva2:1302433
Tilgjengelig fra: 2019-04-04 Laget: 2019-04-04 Sist oppdatert: 2019-11-06bibliografisk kontrollert

Open Access i DiVA

fulltext(2356 kB)52 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 2356 kBChecksum SHA-512
5f7a725ca6accf37bb7cc9470cea6156a2ab8f453ab6882e3aeacf5fa73732736e9b5fea214cf31f9a597b2136d18670639cf4f1941e0097aa293766e7db1c4a
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstPubMed

Personposter BETA

Ekblom, Örjan

Søk i DiVA

Av forfatter/redaktør
Ekblom, Örjan
Av organisasjonen
I samme tidsskrift
Ergonomics

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 52 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 105 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf