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Control of adaptive running platform based on machine vision technologies and neural networks. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-07166-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Hartley C, Carr A, Bowe SJ, Bredie WLP, Keast RSJ. Maltodextrin-Based Carbohydrate Oral Rinsing and Exercise Performance: Systematic Review and Meta-Analysis. Sports Med 2022; 52:1833-1862. [PMID: 35239154 PMCID: PMC9325805 DOI: 10.1007/s40279-022-01658-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2022] [Indexed: 12/04/2022]
Abstract
Background Carbohydrates are an important fuel for optimal exercise performance during moderate- and high-intensity exercise; however, carbohydrate ingestion during high-intensity exercise may cause gastrointestinal upset. A carbohydrate oral rinse is an alternative method to improve exercise performance in moderate- to high-intensity exercise with a duration of 30–75 min. This is the first systematic review and meta-analysis to comprehensively examine the isolated effect of maltodextrin-based rinsing on exercise performance. Objective The objective of this review was to establish the effect of a maltodextrin-based carbohydrate oral rinse on exercise performance across various modes of exercise. Furthermore, a secondary objective was to determine the effects of moderators [(1) participant characteristics; (2) oral rinse protocols; (3) exercise protocol (i.e. cycling, running etc.) and (4) fasting] on exercise performance while using a maltodextrin-based, carbohydrate oral rinse. Methods Five databases (MEDLINE, PsycINFO, Embase, SPORTDiscus and Global Health) were systematically searched for articles up to March 2021 and screened using Covidence (a systematic review management tool). A random effects robust meta-analysis and subgroup analyses were performed using Stata Statistical Software: Release 16. Results Thirty-five articles met the inclusion criteria and were included in the systematic review; 34 of these articles were included in the meta-analysis. When using a conventional meta-analytic approach, overall, a carbohydrate oral rinse improved exercise performance in comparison with a placebo (SMD = 0.15, 95% CI 0.04, 0.27; p = 0.01). Furthermore, when implementing an adjusted, conservative, random effects meta-regression model using robust variance estimation, overall, compared with placebo, a carbohydrate oral rinse demonstrated evidence of improving exercise performance with a small effect size (SMD = 0.17, 95% CI − 0.01, 0.34; p = 0.051). Conclusion This systematic review and meta-analysis demonstrates that a maltodextrin-based carbohydrate oral rinse can improve exercise performance. When comparing the two meta-analytic approaches, although non-significant, the more robust, adjusted, random effects meta-regression model demonstrated some evidence of a maltodextrin-based carbohydrate oral rinse improving exercise performance overall. Supplementary Information The online version contains supplementary material available at 10.1007/s40279-022-01658-3.
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Affiliation(s)
- Claudia Hartley
- CASS Food Research Centre, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia
| | - Amelia Carr
- Centre for Sport Research, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia
| | - Steven J Bowe
- Deakin Biostatistics Unit, Faculty of Health, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia
| | - Wender L P Bredie
- Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg, Denmark
| | - Russell S J Keast
- CASS Food Research Centre, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
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Dorgo S, Perales JJ, Boyle JB, Hausselle J, Montalvo S. Sprint Training on a Treadmill vs. Overground Results in Modality-Specific Impact on Sprint Performance but Similar Positive Improvement in Body Composition in Young Adults. J Strength Cond Res 2020; 34:463-472. [PMID: 30741862 DOI: 10.1519/jsc.0000000000003024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Dorgo, S, Perales, JJ, Boyle, JB, Hausselle, J, and Montalvo, S. Sprint training on a treadmill vs. overground results in modality-specific impact on sprint performance but similar positive improvement in body composition in young adults. J Strength Cond Res 34(2): 463-472, 2020-The effects of different sprint training modalities on body composition are not yet known, and the effectiveness of using motorized treadmills for sprint training is yet to be assessed accurately. The following study investigated the effects of motorized treadmill and overground training on sprint performance and body composition. Sixty-four young adults (33 men and 31 women) completed 12 sprint training sessions over a 6-week period either on a treadmill (TM) or overground (TR), or followed their normal exercise routine (CONTROL). Fifty-yard sprint time, 20-yard maximal sprint speed split time, and maximal treadmill speed were used as sprint performance indicators. Body composition and sprint performance assessments were completed before and after the 6-week intervention. On completion of the 6-week training program, maximal treadmill speed significantly increased for all 3 groups, while split sprint time significantly decreased for the TR group. The CONTROL group's 50-yd sprint time and split sprint time significantly worsened after 6 weeks. Improvements in sprint time and speed were significantly greater for the TR and TM groups compared with the CONTROL group for 50-yd sprint time, 20-yard maximal sprint speed split time, and maximal treadmill sprint speed. The change in maximal treadmill sprint speed for the TM group was significantly greater than that of the TR group. TR and TM subjects also showed significant decrease in total body fat and increase in leg lean muscle mass. These findings indicate that although overground sprint training resulted in the greatest performance improvements within overground sprint tests, sprint training on a motorized treadmill may be a beneficial alternative modality to overground sprint training and may also positively impact subjects' body composition.
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Affiliation(s)
- Sandor Dorgo
- Department of Kinesiology, University of Texas at El Paso, El Paso, Texas; and
| | - Jeremy J Perales
- Department of Kinesiology, University of Texas at El Paso, El Paso, Texas; and
| | - Jason B Boyle
- Department of Kinesiology, University of Texas at El Paso, El Paso, Texas; and
| | - Jerome Hausselle
- School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, Oklahoma
| | - Samuel Montalvo
- Department of Kinesiology, University of Texas at El Paso, El Paso, Texas; and
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A Systematic Review and Meta-Analysis of Crossover Studies Comparing Physiological, Perceptual and Performance Measures Between Treadmill and Overground Running. Sports Med 2019; 49:763-782. [DOI: 10.1007/s40279-019-01087-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Wiens C, Denton W, Schieber MN, Hartley R, Marmelat V, Myers SA, Yentes JM. Walking speed and spatiotemporal step mean measures are reliable during feedback-controlled treadmill walking; however, spatiotemporal step variability is not reliable. J Biomech 2018; 83:221-226. [PMID: 30551920 DOI: 10.1016/j.jbiomech.2018.11.051] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 11/28/2018] [Accepted: 11/30/2018] [Indexed: 11/17/2022]
Abstract
The purpose of the study was to compare the effects of a feedback-controlled treadmill (FeedbackTM) to a traditional fixed-speed treadmill (FixedTM) on spatiotemporal gait means, variability, and dynamics. The study also examined inter-session reliability when using the FeedbackTM. Ten young adults walked on the FeedbackTM for a 5-minute familiarization followed by a 16-minute experimental trial. They returned within one week and completed a 5-minute familiarization followed by a 16-minute experimental trial each for FeedbackTM and FixedTM conditions. Mean walking speed and step time, length, width, and speed means and coefficient of variation were calculated from all experimental conditions. Step time, length, width, and speed gait dynamics were analyzed using detrended fluctuation analysis. Mean differences between experimental trials were determined using ANOVAs and reliability between FeedbackTM sessions was determined by intraclass correlation coefficient. No difference was found in mean walking speed nor spatiotemporal variables, with the exception of step width, between the experimental trials. All mean spatiotemporal variables demonstrated good to excellent reliability between sessions, while coefficient of variation was not reliable. Gait dynamics of step time, length, width, and speed were significantly more persistent during the FeedbackTM condition compared to FixedTM, especially step speed. However, gait dynamics demonstrated fair to poor reliability between FeedbackTM sessions. When walking on the FeedbackTM, users maintain a consistent set point, yet the gait dynamics around the mean are different when compared to walking on a FixedTM. In addition, spatiotemporal gait dynamics and variability may not be consistent across separate days when using the FeedbackTM.
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Affiliation(s)
- Casey Wiens
- University of Nebraska - Omaha, Omaha, NE, United States
| | - William Denton
- University of Nebraska - Omaha, Omaha, NE, United States
| | | | - Ryan Hartley
- University of Nebraska - Omaha, Omaha, NE, United States
| | | | - Sara A Myers
- University of Nebraska - Omaha, Omaha, NE, United States
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Cross MR, Brughelli M, Samozino P, Morin JB. Methods of Power-Force-Velocity Profiling During Sprint Running: A Narrative Review. Sports Med 2018; 47:1255-1269. [PMID: 27896682 DOI: 10.1007/s40279-016-0653-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The ability of the human body to generate maximal power is linked to a host of performance outcomes and sporting success. Power-force-velocity relationships characterize limits of the neuromuscular system to produce power, and their measurement has been a common topic in research for the past century. Unfortunately, the narrative of the available literature is complex, with development occurring across a variety of methods and technology. This review focuses on the different equipment and methods used to determine mechanical characteristics of maximal exertion human sprinting. Stationary cycle ergometers have been the most common mode of assessment to date, followed by specialized treadmills used to profile the mechanical outputs of the limbs during sprint running. The most recent methods use complex multiple-force plate lengths in-ground to create a composite profile of over-ground sprint running kinetics across repeated sprints, and macroscopic inverse dynamic approaches to model mechanical variables during over-ground sprinting from simple time-distance measures during a single sprint. This review outlines these approaches chronologically, with particular emphasis on the computational theory developed and how this has shaped subsequent methodological approaches. Furthermore, training applications are presented, with emphasis on the theory underlying the assessment of optimal loading conditions for power production during resisted sprinting. Future implications for research, based on past and present methodological limitations, are also presented. It is our aim that this review will assist in the understanding of the convoluted literature surrounding mechanical sprint profiling, and consequently improve the implementation of such methods in future research and practice.
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Affiliation(s)
- Matt R Cross
- Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand.
| | - Matt Brughelli
- Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand
| | - Pierre Samozino
- Inter-University Laboratory of Human Movement Biology, University Savoie Mont Blanc, Le Bourget-du-Lac, France
| | - Jean-Benoit Morin
- Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand.,Université Côte d'Azur, LAMHESS, Nice, France
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Wiens C, Denton W, Schieber M, Hartley R, Marmelat V, Myers S, Yentes J. Reliability of a Feedback-Controlled Treadmill Algorithm Dependent on the User's Behavior. IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY : [PROCEEDINGS]. IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY 2017; 2017:545-550. [PMID: 29399378 DOI: 10.1109/eit.2017.8053423] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The reliability of the treadmill belt speed using a feedback-controlled treadmill algorithm was analyzed in this study. Using biomechanical factors of the participant's walking behavior, an estimated walking speed was calculated and used to adjust the speed of the treadmill. Our proposed algorithm expands on the current hypotheses of feedback-controlled treadmill algorithms and is presented below. Nine healthy, young adults walked on a treadmill controlled by the algorithm for three trials over two days. Each participant walked on the feedback-controlled treadmill for one 16-minute and one five-minute trial during day one and one 16-minute trial during day two. Mean, standard deviation, interclass correlation coefficient (ICC), and standard error of measurement (SEM) were analyzed on the treadmill belt speed mean, standard deviation, and coefficient of variation. There were significantly high ICC for mean treadmill speed within- and between-days. Treadmill speed standard deviation and coefficient of variation were significantly reliable within-day. These results suggest the algorithm will reliably produce the same treadmill belt speed mean, but may only produce a similar treadmill belt speed standard deviation and coefficient of variation if the trials are performed in the same day. A feedback-controlled treadmill algorithm that accounts for the user's behavior provides a greater level of control and minimizes any possible constraints of walking on a conventional treadmill.
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Affiliation(s)
- Casey Wiens
- Department of Biomechanics, University of Nebraska - Omaha, Omaha, NE
| | - Will Denton
- Department of Biomechanics, University of Nebraska - Omaha, Omaha, NE
| | - Molly Schieber
- Department of Biomechanics, University of Nebraska - Omaha, Omaha, NE
| | - Ryan Hartley
- Department of Biomechanics, University of Nebraska - Omaha, Omaha, NE
| | - Vivien Marmelat
- Department of Biomechanics, University of Nebraska - Omaha, Omaha, NE
| | - Sara Myers
- Department of Biomechanics, University of Nebraska - Omaha, Omaha, NE
| | - Jennifer Yentes
- Department of Biomechanics, University of Nebraska - Omaha, Omaha, NE
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Lim W, Lambrick D, Mauger AR, Woolley B, Faulkner J. The effect of trial familiarisation on the validity and reproducibility of a field-based self-paced VO2max test. Biol Sport 2016; 33:269-75. [PMID: 27601782 PMCID: PMC4993143 DOI: 10.5604/20831862.1208478] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Revised: 02/20/2016] [Accepted: 03/07/2016] [Indexed: 11/25/2022] Open
Abstract
The self-paced maximal oxygen uptake (VO2max) test (SPV), which is based on the Borg 6-20 Ratings of Perceived Exertion (RPE) scale, allows participants to self-regulate their exercise intensity during a closed-loop incremental maximal exercise test. As previous research has assessed the utility of the SPV test within laboratory conditions, the purpose to this study was to assess the effect of trial familiarisation on the validity and reproducibility of a field-based, SPV test. In a cross-sectional study, fifteen men completed one laboratory-based graded exercise test (GXT) and three field-based SPV tests. The GXT was continuous and incremental until the attainment of VO2max. The SPV, which was completed on an outdoor 400m athletic track, consisted of five x 2 min perceptually-regulated (RPE11, 13, 15, 17 and 20) stages of incremental exercise. There were no differences in the VO2max reported between the GXT (63.5±10.1 ml·kg(-1)·min(-1)) and each SPV test (65.5±8.7, 65.4±7.0 and 66.7±7.7 ml·kg(-1)·min(-1) for SPV1, SPV2 and SPV3, respectively; P>.05). Similar findings were observed when comparing VO2max between SPV tests (P>.05). High intraclass correlation coefficients were reported between the GXT and the SPV, and between each SPV test (≥.80). Although participants ran faster and further during SPV3, a similar pacing strategy was implemented during all tests. This study demonstrated that a field-based SPV is a valid and reliable VO2max test. As trial familiarisation did not moderate VO2max values from the SPV, the application of a single SPV test is an appropriate stand-alone protocol for gauging VO2max.
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Affiliation(s)
- W Lim
- Massey University, New Zealand
| | - D Lambrick
- University of Southampton, United Kingdom
| | | | | | - J Faulkner
- University of Winchester, United Kingdom
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The efficacy of a self-paced VO2max test during motorized treadmill exercise. Int J Sports Physiol Perform 2014; 10:99-105. [PMID: 24912200 DOI: 10.1123/ijspp.2014-0052] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
PURPOSE To assess the utility of a self-paced maximal oxygen uptake (VO2max) test (SPV) in eliciting an accurate measure of VO2max in comparison with a traditional graded exercise test (GXT) during motorized treadmill exercise. DESIGN This was a cross-sectional experimental study whereby recreationally trained men (n = 13, 25.5 ± 4.6 y) completed 2 maximal exercise tests (SPV, GXT) separated by a 72-h recovery period. METHODS The GXT was continuous and incremental, with prescribed 1-km/h increases every 2 min until the attainment of VO2max. The SPV consisted of 5 × 2-min stages of incremental exercise, which were self-selected and adjusted according to 5 prescribed RPE levels (RPE 11, 13, 15, 17, and 20). RESULTS Although no significant differences in VO2max were observed between the SPV and GXT (63.9 ± 3.3 cf 60.9 ± 4.6 mL · kg-1 · min-1, respectively, P > .05), the apparent 4.7% mean difference may be practically important. The 95% limits-of-agreement analysis was 3.03 ± 11.49 mL · kg-1 · min-1. Therefore, in the worst-case scenario, the GXT may underestimate measured VO2max as ascertained by the SPV by up to 19%. Conversely, the SPV could underestimate the GXT by 14%. CONCLUSIONS The current study has shown that the SPV is an accurate measure of VO2max during exercise on a motorized treadmill and may provide a slightly higher VO2max value than that obtained from a traditional GXT. The higher VO2max during the SPV may be important when prescribing training or monitoring athlete progression.
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10
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Mauger AR, Metcalfe AJ, Taylor L, Castle PC. Reply to "Discussion: Efficacy of the self-paced V̇O2max test to measure maximal oxygen uptake in treadmill running". Appl Physiol Nutr Metab 2014; 39:583-5. [PMID: 24766242 DOI: 10.1139/apnm-2013-0530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Alexis R Mauger
- a Endurance Research Group, School of Sport and Exercise Sciences, Faculty of Science, University of Kent, Chatham, Kent, ME4 4AG, UK
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11
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Spence AJ, Nicholson-Thomas G, Lampe R. Closing the loop in legged neuromechanics: An open-source computer vision controlled treadmill. J Neurosci Methods 2013; 215:164-9. [DOI: 10.1016/j.jneumeth.2013.03.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2012] [Revised: 03/11/2013] [Accepted: 03/12/2013] [Indexed: 01/19/2023]
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12
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Morin JB, Sève P. Sprint running performance: comparison between treadmill and field conditions. Eur J Appl Physiol 2011; 111:1695-703. [DOI: 10.1007/s00421-010-1804-0] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2010] [Accepted: 12/21/2010] [Indexed: 10/18/2022]
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Kram R, Grabowski AM, McGowan CP, Brown MB, McDermott WJ, Beale MT, Herr HM. Last Word on Point:Counterpoint: Artificial limbs do/do not make artificially fast running speeds possible. J Appl Physiol (1985) 2010. [DOI: 10.1152/japplphysiol.00152.2010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Rodger Kram
- Integrative Physiology Department, Locomotion Laboratory, University of Colorado, Boulder, Colorado
| | - Alena M. Grabowski
- Biomechatronics Group, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Craig P. McGowan
- Neuromuscular Biomechanics Laboratory, University of Texas, Austin, Texas
| | - Mary Beth Brown
- School of Applied Physiology, Georgia Institute of Technology, Atlanta, Georgia; and
| | | | - Matthew T. Beale
- Integrative Physiology Department, Locomotion Laboratory, University of Colorado, Boulder, Colorado
| | - Hugh M. Herr
- Biomechatronics Group, Massachusetts Institute of Technology, Cambridge, Massachusetts
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