Estimating energy expenditure during front crawl swimming using accelerometers

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Estimating energy expenditure during front crawl swimming using accelerometers. / Nordsborg, Nikolai Baastrup; Espinosa, Hugo G.; Van Thiel, David H.

In: Procedia Engineering, Vol. 72, 2014, p. 132-137.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Nordsborg, NB, Espinosa, HG & Van Thiel, DH 2014, 'Estimating energy expenditure during front crawl swimming using accelerometers', Procedia Engineering, vol. 72, pp. 132-137. https://doi.org/10.1016/j.proeng.2014.06.024

APA

Nordsborg, N. B., Espinosa, H. G., & Van Thiel, D. H. (2014). Estimating energy expenditure during front crawl swimming using accelerometers. Procedia Engineering, 72, 132-137. https://doi.org/10.1016/j.proeng.2014.06.024

Vancouver

Nordsborg NB, Espinosa HG, Van Thiel DH. Estimating energy expenditure during front crawl swimming using accelerometers. Procedia Engineering. 2014;72:132-137. https://doi.org/10.1016/j.proeng.2014.06.024

Author

Nordsborg, Nikolai Baastrup ; Espinosa, Hugo G. ; Van Thiel, David H. / Estimating energy expenditure during front crawl swimming using accelerometers. In: Procedia Engineering. 2014 ; Vol. 72. pp. 132-137.

Bibtex

@article{ee8f9f0f4d524651a77a177dc1f6f410,
title = "Estimating energy expenditure during front crawl swimming using accelerometers",
abstract = "The determination of energy expenditure is of major interest in training load and performance assessment. Small, wireless accelerometer units have the potential to characterise energy expenditure during swimming. The correlation between absorbed oxygen versus flume swimming speed and absorbed oxygen versus the three axis acceleration recorded on the sacrum, wrist and ankle for swimmers of varying abilities was calculated using Bland-Altman analysis of variance through parallel regression lines fitted for 60 participants, who swam at three different speeds for 6 min duration with 2 min rest times. Swimmers showed a strong positive relationship between VO2 and RMS acceleration on the wrist (r = 0.77) and ankle (r = 0.73) sensors but not on the sacrum (r = 0.46). The sacrum data was split into elite and novice swimmers, resulting in a strong correlation for elite swimmers and a poor correlation for novice swimmers. A robust biomechanical technique for the determination of the energy expenditure of swimmers of different categories and genders from acceleration data has been developed.",
keywords = "Accelerometer, ANOVA, Energy expenditure, Flume, Swimming, Velocity",
author = "Nordsborg, {Nikolai Baastrup} and Espinosa, {Hugo G.} and {Van Thiel}, {David H}",
note = "CURIS 2014 NEXS 424",
year = "2014",
doi = "10.1016/j.proeng.2014.06.024",
language = "English",
volume = "72",
pages = "132--137",
journal = "Procedia Engineering",
issn = "1877-7058",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Estimating energy expenditure during front crawl swimming using accelerometers

AU - Nordsborg, Nikolai Baastrup

AU - Espinosa, Hugo G.

AU - Van Thiel, David H

N1 - CURIS 2014 NEXS 424

PY - 2014

Y1 - 2014

N2 - The determination of energy expenditure is of major interest in training load and performance assessment. Small, wireless accelerometer units have the potential to characterise energy expenditure during swimming. The correlation between absorbed oxygen versus flume swimming speed and absorbed oxygen versus the three axis acceleration recorded on the sacrum, wrist and ankle for swimmers of varying abilities was calculated using Bland-Altman analysis of variance through parallel regression lines fitted for 60 participants, who swam at three different speeds for 6 min duration with 2 min rest times. Swimmers showed a strong positive relationship between VO2 and RMS acceleration on the wrist (r = 0.77) and ankle (r = 0.73) sensors but not on the sacrum (r = 0.46). The sacrum data was split into elite and novice swimmers, resulting in a strong correlation for elite swimmers and a poor correlation for novice swimmers. A robust biomechanical technique for the determination of the energy expenditure of swimmers of different categories and genders from acceleration data has been developed.

AB - The determination of energy expenditure is of major interest in training load and performance assessment. Small, wireless accelerometer units have the potential to characterise energy expenditure during swimming. The correlation between absorbed oxygen versus flume swimming speed and absorbed oxygen versus the three axis acceleration recorded on the sacrum, wrist and ankle for swimmers of varying abilities was calculated using Bland-Altman analysis of variance through parallel regression lines fitted for 60 participants, who swam at three different speeds for 6 min duration with 2 min rest times. Swimmers showed a strong positive relationship between VO2 and RMS acceleration on the wrist (r = 0.77) and ankle (r = 0.73) sensors but not on the sacrum (r = 0.46). The sacrum data was split into elite and novice swimmers, resulting in a strong correlation for elite swimmers and a poor correlation for novice swimmers. A robust biomechanical technique for the determination of the energy expenditure of swimmers of different categories and genders from acceleration data has been developed.

KW - Accelerometer

KW - ANOVA

KW - Energy expenditure

KW - Flume

KW - Swimming

KW - Velocity

UR - http://www.scopus.com/inward/record.url?scp=84903774830&partnerID=8YFLogxK

U2 - 10.1016/j.proeng.2014.06.024

DO - 10.1016/j.proeng.2014.06.024

M3 - Journal article

AN - SCOPUS:84903774830

VL - 72

SP - 132

EP - 137

JO - Procedia Engineering

JF - Procedia Engineering

SN - 1877-7058

ER -

ID: 166464866