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Cited by 3Cardiovascular and exercise physiologyLower Extremity Biomechanics and PathologiesOccupational Health and Performance

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Estimating loaded, inclined walking energetics: No functional difference between added and body mass

Ludlow, Lindsay W., Weyand, Peter G.·2016·2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
DOI 10.1109/bsn.2016.7516279
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Abstract

We used external loading and surface inclination as experimental tools to: 1) test whether the metabolic cost of transporting body mass and torso mass are equal during walking, and 2) to develop an algorithm for estimating walking metabolism in the field. Rates of oxygen uptake were measured in ten physically active volunteers during constant-velocity treadmill trials (0.6-1.4 m·s-1) on four grades (0-9°) under three loading conditions (1.0-1.31 times body mass). Walking metabolic rates (Egross-Erest) increased systematically with speed, load, and grade to span values from 2.2 to 14.2 times measured resting metabolic rates. When walking metabolism was expressed in relation to the total mass carried, loaded and unloaded metabolic rates were nearly identical across all conditions. The equivalent costs of transporting one kg of body and external mass allowed formulation of a promising estimation algorithm requiring only total mass, speed, and grade as inputs (R2=0.98; SEE=0.37 W·kg-1; n=360 trials).

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Crossref · 10.1109/bsn.2016.7516279

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21 of 21 references verified0 citation errors · 0 not checkable

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  • It is unresolved whether the per kilogram metabolic costs of body mass vs. external mass affixed to the torso are equal.

    “Similarly unresolved is whether the per kilogram metabolic costs of body mass vs. external mass affixed to the torso are equal (6,26,30,37,45,51,58,67).”

    From Walking economy is predictably determined by speed, grade, and gravitational load. (2017) · cites this paper as [45]

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Metadata

Authors
Ludlow, L. W., & Weyand, P. G.
Affiliations
Southern Methodist University (US)
Venue
2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Publisher
IEEE
Published
2016-06
Pages
306-311
ISSN
2376-8886 (ISSN-L)
DOI
10.1109/bsn.2016.7516279
OpenAlex
W2503487123
Cited by
2
References
21
Citations by year
2025: 1 · 2017: 1
FWCI
2.90
Type
conference paper
Language
en
Open access
closed
Locations
Wearable and Implantable Body Sensor Networks (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
  • Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Occupational Health and Performance
Keywords
energy cost of walking, external load, inclined walking, oxygen consumption, body mass, treadmill walking, walking speed

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