Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches

Ahmet Kolus; Philippe Antoine Dubé; Daniel Imbeau; Richard Labib; Denise Dubeau

doi:10.1016/j.apergo.2014.04.003

Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches

Ahmet Kolus^*
, Philippe Antoine Dubé
, Daniel Imbeau
, Richard Labib
, Denise Dubeau

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

In new approaches based on adaptive neuro-fuzzy systems (ANFIS) and analytical method, heart rate (HR) measurements were used to estimate oxygen consumption (VO₂). Thirty-five participants performed Meyer and Flenghi's step-test (eight of which performed regeneration release work), during which heart rate and oxygen consumption were measured. Two individualized models and a General ANFIS model that does not require individual calibration were developed. Results indicated the superior precision achieved with individualized ANFIS modelling (RMSE = 1.0 and 2.8 ml/kg min in laboratory and field, respectively). The analytical model outperformed the traditional linear calibration and Flex-HR methods with field data. The General ANFIS model's estimates of VO₂ were not significantly different from actual field VO₂ measurements (RMSE = 3.5 ml/kg min). With its ease of use and low implementation cost, the General ANFIS model shows potential to replace any of the traditional individualized methods for VO₂ estimation from HR data collected in the field.

Original language	English
Pages (from-to)	1475-1483
Number of pages	9
Journal	Applied Ergonomics
Volume	45
Issue number	6
DOIs	https://doi.org/10.1016/j.apergo.2014.04.003
State	Published - Nov 2014
Externally published	Yes

Bibliographical note

Funding Information:
This project received joint funding from the Ministère des Ressources Naturelles et de la Faune of Québec , the Fonds Québécois pour la Recherche sur la Nature et les Technologies (FQRNT) , and the Natural Science and Engineering Research Council of Canada (NSERC) , through the Canada Research Chair in Ergonomics of Polytechnique de Montreal.

Keywords

Heart rate monitoring
Oxygen consumption
Work design

ASJC Scopus subject areas

Human Factors and Ergonomics
Physical Therapy, Sports Therapy and Rehabilitation
Safety, Risk, Reliability and Quality
Engineering (miscellaneous)

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@article{016ee75be30a4a3cac24b7ed6abad04a,

title = "Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches",

abstract = "In new approaches based on adaptive neuro-fuzzy systems (ANFIS) and analytical method, heart rate (HR) measurements were used to estimate oxygen consumption (VO2). Thirty-five participants performed Meyer and Flenghi's step-test (eight of which performed regeneration release work), during which heart rate and oxygen consumption were measured. Two individualized models and a General ANFIS model that does not require individual calibration were developed. Results indicated the superior precision achieved with individualized ANFIS modelling (RMSE = 1.0 and 2.8 ml/kg min in laboratory and field, respectively). The analytical model outperformed the traditional linear calibration and Flex-HR methods with field data. The General ANFIS model's estimates of VO2 were not significantly different from actual field VO2 measurements (RMSE = 3.5 ml/kg min). With its ease of use and low implementation cost, the General ANFIS model shows potential to replace any of the traditional individualized methods for VO2 estimation from HR data collected in the field.",

keywords = "Heart rate monitoring, Oxygen consumption, Work design",

author = "Ahmet Kolus and Dub{\'e}, \{Philippe Antoine\} and Daniel Imbeau and Richard Labib and Denise Dubeau",

note = "Funding Information: This project received joint funding from the Minist{\`e}re des Ressources Naturelles et de la Faune of Qu{\'e}bec , the Fonds Qu{\'e}b{\'e}cois pour la Recherche sur la Nature et les Technologies (FQRNT) , and the Natural Science and Engineering Research Council of Canada (NSERC) , through the Canada Research Chair in Ergonomics of Polytechnique de Montreal.",

year = "2014",

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doi = "10.1016/j.apergo.2014.04.003",

language = "English",

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AU - Kolus, Ahmet

AU - Dubé, Philippe Antoine

AU - Imbeau, Daniel

AU - Labib, Richard

AU - Dubeau, Denise

N1 - Funding Information: This project received joint funding from the Ministère des Ressources Naturelles et de la Faune of Québec , the Fonds Québécois pour la Recherche sur la Nature et les Technologies (FQRNT) , and the Natural Science and Engineering Research Council of Canada (NSERC) , through the Canada Research Chair in Ergonomics of Polytechnique de Montreal.

PY - 2014/11

Y1 - 2014/11

N2 - In new approaches based on adaptive neuro-fuzzy systems (ANFIS) and analytical method, heart rate (HR) measurements were used to estimate oxygen consumption (VO2). Thirty-five participants performed Meyer and Flenghi's step-test (eight of which performed regeneration release work), during which heart rate and oxygen consumption were measured. Two individualized models and a General ANFIS model that does not require individual calibration were developed. Results indicated the superior precision achieved with individualized ANFIS modelling (RMSE = 1.0 and 2.8 ml/kg min in laboratory and field, respectively). The analytical model outperformed the traditional linear calibration and Flex-HR methods with field data. The General ANFIS model's estimates of VO2 were not significantly different from actual field VO2 measurements (RMSE = 3.5 ml/kg min). With its ease of use and low implementation cost, the General ANFIS model shows potential to replace any of the traditional individualized methods for VO2 estimation from HR data collected in the field.

AB - In new approaches based on adaptive neuro-fuzzy systems (ANFIS) and analytical method, heart rate (HR) measurements were used to estimate oxygen consumption (VO2). Thirty-five participants performed Meyer and Flenghi's step-test (eight of which performed regeneration release work), during which heart rate and oxygen consumption were measured. Two individualized models and a General ANFIS model that does not require individual calibration were developed. Results indicated the superior precision achieved with individualized ANFIS modelling (RMSE = 1.0 and 2.8 ml/kg min in laboratory and field, respectively). The analytical model outperformed the traditional linear calibration and Flex-HR methods with field data. The General ANFIS model's estimates of VO2 were not significantly different from actual field VO2 measurements (RMSE = 3.5 ml/kg min). With its ease of use and low implementation cost, the General ANFIS model shows potential to replace any of the traditional individualized methods for VO2 estimation from HR data collected in the field.

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Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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