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Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise te...

Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise te...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2470900356

Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests

About this item

Full title

Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests

Publisher

England: Routledge

Journal title

European journal of sport science, 2022-03, Vol.22 (3), p.425-435

Language

English

Formats

Publication information

Publisher

England: Routledge

More information

Scope and Contents

Contents

The problem of the automatic determination of the first and second ventilatory thresholds (VT1 and VT2) from cardiopulmonary exercise test (CPET) still leads to controversy. The reliability of the gold standard methodology (i.e. expert visual inspection) feeds into the debate and several authors call for more objective automatic methods to be used...

Alternative Titles

Full title

Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2470900356

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2470900356

Other Identifiers

ISSN

1746-1391

E-ISSN

1536-7290

DOI

10.1080/17461391.2020.1866081

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