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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Cardiopulmonary excercise breath-by-breath data during locomotion at variable speed in 28 healthy young subject

Authors: L, Lagos-Hausheer.; Biancardi, CM.; Bona, R.L;

Cardiopulmonary excercise breath-by-breath data during locomotion at variable speed in 28 healthy young subject

Abstract

Ergospyrometric evaluations are useful in physio-mechanics of locomotion. This dataset includes the raw ergospyrometric data of 28 young subjects during locomotion at variable speed, walk and run on a treadmill at different speeds and gaits. Characteristics of the experimental group: - gender: 28 males - age: 32. 53 (10.99SD) - height: 175.0 cm (0.008 SD) - weight: 72.96 kg (9.51 SD) Equipments: - Cosmed K5 wearable metabolic analyzer - Software Cosmed Omnia v.1.6.5 Experimental design: -The Walking Run Transtition Speed(W-R Ts) were experimentally determined. Each subject was asked to perform 3 trials on a treadmill (GE T2100, General Electric, USA), with a staircase protocol of increasing speeds. The ramp was designed to start at a comfortable walking gait (3.0 km h-1), and to increase the speed by 0.5 km.h-1 each 15 s. When the subject started to run, the ramp was stopped and the speed marked down on a worksheet. The average or the modal transition speed was taken as the Ts of the subject. All the treadmill trials were performed in the Biomechanics Research and Movement Analyses Laboratory (LIBiAM) of the Universidad de la República in Paysandú (Uruguay), at a controlled temperature of 25ºC. The theoretical transition speed tTs was computed according to the Froude number equation (Alexander. 1976): v = (nFr g LL)0.5, where v is the theoretical speed, g is gravity, LL is the leg length and nFr the Froude number, which was set to the constant value of 0.5, corresponding to the W-R transition (Alexander & Jayes, 1983; Alexander, 2003; Bona et al., 2019). Experimental speed ramp: -A personalized ascending and descending speed ramp was designed, centered on the transition speed and ranged from (Ts= Transition speed) Ts-20% to Ts+20%, each step lasting 5 s. Each ramp cycle lasted 50 s, and was repeated 5 times, for a total trial time of 250 s. The trial was repeated twice. Note: not all the subject performed the entire protocol. In particular some data are lacking in track. Cost of Transport Analysis: - The resting O2 (RO2) consumption was computed as the averaged VO2 (ml/min/kg) of the 5' in orthostasis. - The trial O2 (TO2) consumption was computed as the averaged VO2 (ml/min/kg) of the last 2' of each speed trial - The exercise O2 (EO2) consumption was computed as TO2 - RO2 - The trial respiratory quotient (RQ) was computed as the averaged RQ (VCO2/VO2) of the last 2' of each speed trial - The RQ based Energetic Equivalent (EE) to transform mlO2 in Joules was derived from Di Prampero (2015). - The metabolic power (W/kg) was computed as (EO2 * EE) / 60 (remember that W = J/s) - The Cost of transport (J/kg/m) was computed by dividing the metabolic power for the speed (m/s) (Saibene and Minetti, 2003). All the participants signed an informed consent. The protocol was approved by the Ethical Committee of the University (#311170-000921-19). Dataset legend. Filename: - Subject ID (S1, S2...) - Contents (Orthostasis, Walk, Run, Skip and speed) - Mode (CPET Breath by breath) - Date and time Columns A to I - General info (sensitive data were deleted) - Speed and gait of the trial - When resting in orthostasis was included, it was marked in green Columns of interest (for the other columns please refer to the Cosmed K5 / Cosmed Omnia manuals) J = Time in sec. O = VO2 oxygen consumption in ml/min P = CO2 carbon dioxide production in ml/min Q = RQ respiratory quotient (VCO2/VO2) V = VO2/kg oxygen consumption per kg (ml/min/kg) AI = Marker: Begin and End of each trial and of the resting in orthostasis have been marked Marked row are in yellow or green AJ-AN = Environmental data BA-BF = GPS data

{"references": ["Alexander, R. M. (1976). Estimates of dinosaur speeds. Nature, 261(5556), 129-130.", "Alexander, R. M., & Jayes, A. S. (1983). A dynamic similarity hypothesis for the gaits of quadrupedal mammals.\u00a0 Journal of zoology, 201(1), 135-152.", "Alexander, M. (2003). Principles of Animal Locomotion.,(Princeton University Press: Princeton, NJ.).", "Bona, R. L., Gome\u00f1uka, N. A., Storniolo, J. L. L., Bonezi, A., & Biancardi, C. M. (2019). Self-selected walking speed in individuals with transfemoral amputation: Recovery, economy and rehabilitation index. European Journal of Physiotherapy, 0(0), 1-8. https://doi.org/10.1080/21679169.2018.1561941", "Saibene, F., & Minetti, A. E. (2003). Biomechanical and physiological aspects of legged locomotion in humans.\u00a0European journal of applied physiology,\u00a088(4-5), 297-316."]}

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Keywords

locomotion, run, walk, biomechanics, sports science

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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