Literature DB >> 17218902

Estimation of oxygen uptake during fast running using accelerometry and heart rate.

Barry W Fudge1, John Wilson, Chris Easton, Laura Irwin, Jonathan Clark, Olivia Haddow, Bengt Kayser, Yannis P Pitsiladis.   

Abstract

UNLABELLED: Previous investigations have reported that accelerometer counts plateau during running at increasingly faster speeds.
PURPOSE: To assess whether biomechanical and/or device limitations cause this phenomenon and the feasibility of generating oxygen uptake (.VO2) prediction equations from the combined use of accelerometry and heart rate during walking and running.
METHODS: : Sixteen endurance-trained subjects completed two exercise tests on a treadmill. The first was a continuous incremental test to volitional exhaustion to determine ventilatory threshold and peak .VO2. The second was a discontinuous incremental exercise test while walking (3, 5, and 7 km.h(-1)) and running (8, 10, 12, 14, 16, 18, and 20 km.h(-1), or until volitional exhaustion). Subjects completed 3 min of exercise at each speed, followed by 3-5 min of recovery. Activity counts from uni- and triaxial accelerometers, heart rate, and gas exchange were measured throughout exercise.
RESULTS: All accelerometer outputs rose linearly with speed during walking. During running, uniaxial accelerometer outputs plateaued, whereas triaxial output rose linearly with speed up to and including 20 km.h(-1). Prediction of .VO2 during walking and running using heart rate (R2 = 0.42 and 0.59, respectively), accelerometer counts (R2 = 0.48-0.83 and 0.76, respectively), the combined methodologies (R2 = 0.54-0.85 and 0.80, respectively), and the combined methodologies calibrated with individual data (R2 = 0.99-1.00 and 0.99, respectively) was completed by linear regression.
CONCLUSIONS: Uni- and triaxial accelerometer outputs have a linear relationship with speed during walking. During running, uniaxial accelerometer outputs plateau because of the biomechanics of running, whereas triaxial accelerometer output has a linear relationship. The combined methodologies predict .VO2 better than either predictor alone; a subject's individually calibrated data further improves .VO2 estimation.

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Year:  2007        PMID: 17218902     DOI: 10.1249/01.mss.0000235884.71487.21

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  23 in total

1.  Comparing the performance of three generations of ActiGraph accelerometers.

Authors:  Megan P Rothney; Gregory A Apker; Yanna Song; Kong Y Chen
Journal:  J Appl Physiol (1985)       Date:  2008-07-17

2.  Higher Precision of Heart Rate Compared with VO2 to Predict Exercise Intensity in Endurance-Trained Runners.

Authors:  Victor M Reis; Roland Van den Tillaar; Mario C Marques
Journal:  J Sports Sci Med       Date:  2011-03-01       Impact factor: 2.988

3.  Biomechanical examination of the 'plateau phenomenon' in ActiGraph vertical activity counts.

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4.  Comparison of the ActiGraph 7164 and the ActiGraph GT1M during self-paced locomotion.

Authors:  Sarah L Kozey; John W Staudenmayer; Richard P Troiano; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2010-05       Impact factor: 5.411

5.  Recent advances in free-living physical activity monitoring: a review.

Authors:  David Andre; Donna L Wolf
Journal:  J Diabetes Sci Technol       Date:  2007-09

6.  Comparison of four ActiGraph accelerometers during walking and running.

Authors:  Dinesh John; Brian Tyo; David R Bassett
Journal:  Med Sci Sports Exerc       Date:  2010-02       Impact factor: 5.411

Review 7.  Validity of activity monitors in health and chronic disease: a systematic review.

Authors:  Hans Van Remoortel; Santiago Giavedoni; Yogini Raste; Chris Burtin; Zafeiris Louvaris; Elena Gimeno-Santos; Daniel Langer; Alastair Glendenning; Nicholas S Hopkinson; Ioannis Vogiatzis; Barry T Peterson; Frederick Wilson; Bridget Mann; Roberto Rabinovich; Milo A Puhan; Thierry Troosters
Journal:  Int J Behav Nutr Phys Act       Date:  2012-07-09       Impact factor: 6.457

8.  Mechanical and free living comparisons of four generations of the Actigraph activity monitor.

Authors:  Mathias Ried-Larsen; Jan Christian Brønd; Søren Brage; Bjørge Herman Hansen; May Grydeland; Lars Bo Andersen; Niels Christian Møller
Journal:  Int J Behav Nutr Phys Act       Date:  2012-09-12       Impact factor: 6.457

9.  High resolution MEMS accelerometers to estimate VO2 and compare running mechanics between highly trained inter-collegiate and untrained runners.

Authors:  Stephen J McGregor; Michael A Busa; James A Yaggie; Erik M Bollt
Journal:  PLoS One       Date:  2009-10-06       Impact factor: 3.240

10.  Electrical stimulation for chronic non-specific low back pain in a working-age population: a 12-week double blinded randomized controlled trial.

Authors:  Matthew S Thiese; Matthew Hughes; Jeremy Biggs
Journal:  BMC Musculoskelet Disord       Date:  2013-03-28       Impact factor: 2.362

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