Ambulatory estimates of maximal aerobic power from foot -ground contact times and heart rates in running humans
Abstract
Seeking to develop a simple ambulatory test of maximal aerobic power (V˙o 2 max), we hypothesized that the ratio of inverse foot-ground contact time (1/ t c) to heart rate (HR) during steady-speed running would accurately predictV˙o 2 max. Given the direct relationship between 1/ t c and mass-specific O 2 uptake during running, the ratio 1/ t c· HR should reflect mass-specific O 2 pulse and, in turn, aerobic power. We divided 36 volunteers into matched experimental and validation groups.V˙o 2 max was determined by a treadmill test to volitional fatigue. Ambulatory monitors on the shoe and chest recorded foot-ground contact time ( t c) and steady-state HR, respectively, at a series of submaximal running speeds. In the experimental group, aerobic fitness index (1/ t c· HR) was nearly constant across running speed and correlated withV˙o 2 max( r = 0.90). The regression equation derived from data from the experimental group predicted V˙o 2 max from the 1/ t c· HR values in the validation group within 8.3% and 4.7 ml O 2· kg−1· min−1( r = 0.84) of measured values. We conclude that simultaneous measurements of foot-ground constant times and heart rates during level running at a freely chosen constant speed can provide accurate estimates of maximal aerobic power.
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Foot-ground contact time is inversely related to speed of locomotion in humans and animals.
“They observed that foot–ground contact time is inversely related to speed of locomotion in humans, as well as in animals.”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [64]
A formula using foot-ground contact time can predict speed over a wide range of speeds, from slow walking to sprint running.
“They then developed a formula using foot–ground contact time to predict speed over a wide range of speeds, from slow walking to sprint running.”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [64]
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- Authors
- Weyand, P. G., Kelly, M., Blackadar, T., Darley, J. C., Oliver, S. R., Ohlenbusch, N. E., Joffe, S. W., & Hoyt, R. W.
- Affiliations
- U.S. Army Research Institute of Environmental Medicine (US)
- FitSense Technology Incorporated, Wellesley 02481; and
- ORCID
- Weyand, Peter G.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2001-07-01
- Volume
- 91
- Issue
- 1
- Pages
- 451-458
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2112800069
- Cited by
- 61
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 6 · 2017: 4 · 2016: 8 · 2015: 3 · 2014: 3 · 2013: 3 · 2012: 2
- FWCI
- 5.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Physiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Keywords
- maximal aerobic capacity, heart rate, running, oxygen consumption, wearable sensors
- MeSH terms
- Acceleration, Adult, Female, Foot, Forecasting, Heart Rate, Humans, Male, Models, Biological, Oxygen Consumption, Physical Fitness, Running, Exercise
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