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Correction of estimation bias of predictive equations of energy expenditure based on wrist/waist-mou...

Correction of estimation bias of predictive equations of energy expenditure based on wrist/waist-mou...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3fe1d4a50181483b8ca97762789ad9c4

Correction of estimation bias of predictive equations of energy expenditure based on wrist/waist-mounted accelerometers

About this item

Full title

Correction of estimation bias of predictive equations of energy expenditure based on wrist/waist-mounted accelerometers

Publisher

United States: PeerJ. Ltd

Journal title

PeerJ (San Francisco, CA), 2019-11, Vol.7, p.e7973-e7973, Article e7973

Language

English

Formats

Publication information

Publisher

United States: PeerJ. Ltd

More information

Scope and Contents

Contents

Using wearable inertial sensors to accurately estimate energy expenditure (EE) during an athletic training process is important. Due to the characteristics of inertial sensors, however, the positions in which they are worn can produce signals of different natures. To understand and solve this issue, this study used the heart rate reserve (HRR) as a...

Alternative Titles

Full title

Correction of estimation bias of predictive equations of energy expenditure based on wrist/waist-mounted accelerometers

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3fe1d4a50181483b8ca97762789ad9c4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3fe1d4a50181483b8ca97762789ad9c4

Other Identifiers

ISSN

2167-8359

E-ISSN

2167-8359

DOI

10.7717/peerj.7973

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