Evaluation of three methodologies to estimate the VO2max in people of different ages

Balderrama, Cesar Omar; Ibarra, Gabriel Lara; Riva, Jorge de la; López, Susana Alonso

doi:10.1016/j.apergo.2010.06.017

Cited by 23 publications

(18 citation statements)

References 9 publications

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“…A submaximal running protocol, that is practical and easy to apply, was implemented in the setup. It is required that the subjects where to perform at less than 80% of their maximum heart rate (HR max ), this is also a recommendation for unfit people and for those with respiratory or cardiac risks [20]. …”

Section: Experimental Equipment and Exercise Protocolmentioning

confidence: 99%

Modelling and regulating of cardio-respiratory response for the enhancement of interval training

Haddad

Zhang

et al. 2014

BioMed Eng OnLine

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BackgroundThe interval training method has been a well known exercise protocol which helps strengthen and improve one’s cardiovascular fitness.PurposeTo develop an effective training protocol to improve cardiovascular fitness based on modelling and analysis of Heart Rate (HR) and Oxygen Uptake (VO2) dynamics.MethodsIn order to model the cardiorespiratory response to the onset and offset exercises, the (K4b2, Cosmed) gas analyzer was used to monitor and record the heart rate and oxygen uptake for ten healthy male subjects. An interval training protocol was developed for young health users and was simulated using a proposed RC switching model which was presented to accommodate the variations of the cardiorespiratory dynamics to running exercises. A hybrid system model was presented to describe the adaptation process and a multi-loop PI control scheme was designed for the tuning of interval training regime.ResultsBy observing the original data for each subject, we can clearly identify that all subjects have similar HR and VO2 profiles. The proposed model is capable to simulate the exercise responses during onset and offset exercises; it ensures the continuity of the outputs within the interval training protocol. Under some mild assumptions, a hybrid system model can describe the adaption process and accordingly a multi-loop PI controller can be designed for the tuning of interval training protocol. The self-adaption feature of the proposed controller gives the exerciser the opportunity to reach his desired setpoints after a certain number of training sessions.ConclusionsThe established interval training protocol targets a range of 70-80% of HRmax which is mainly a training zone for the purpose of cardiovascular system development and improvement. Furthermore, the proposed multi-loop feedback controller has the potential to tune the interval training protocol according to the feedback from an individual exerciser.

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Section: Experimental Equipment and Exercise Protocolmentioning

confidence: 99%

Modelling and regulating of cardio-respiratory response for the enhancement of interval training

Haddad

Zhang

et al. 2014

BioMed Eng OnLine

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“…However, there are well-known limitations associated with maximal exercise testing such as expensive equipment and trained personnel, motivation of the participant to meet VO 2 max criterion, early onset of fatigue, physician availability for at-risk populations and exercise device (1, 6, 8–10, 13, 14, 21). Assessment of cardiorespiratory fitness and response to varying levels of exercise intensity is important and should be considered prior to the start of an exercise rehabilitation program.…”

Section: Introductionmentioning

confidence: 99%

Recumbent Stepper Submaximal Exercise Test to Predict Peak Oxygen Uptake

Billinger

Swearingen²,

Mcclain³

et al. 2012

Medicine &Amp; Science in Sports &Amp; Exercise

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Purpose The purpose of this study was to examine the ability of the YMCA submaximal exercise test protocol using a total body recumbent stepper (TBRS) to predict VO2 peak. Methods Out of 112 individuals initially screened, one-hundred ten individuals with low to moderate cardiovascular disease risk met the inclusion criteria for participation in the study. The maximal exercise test used a motorized treadmill and the Bruce or modified Bruce protocol. Oxygen uptake was measured and analyzed through collection of expired gases using a metabolic measurement system. The submaximal exercise test was performed at least 24 hours later but no more than 5 days post maximal exercise testing. Participants were instructed to keep a pace of 100 steps per minute and the resistance increase every 3 minutes according to the protocol until fatigue, or 85% of HR max was achieved. A cross validation study was also performed to determine the accuracy of the prediction equation. Results Using a stepwise regression, we report that VO2 peak can be predicted using a five element model including age, weight, sex, watts_endsubmax and HR_endsubmax (F5,69 = 70.31, p <0.001). We report a strong correlation between the predicted VO2 peak to the actual VO2 peak. Conclusion These data suggest the YMCA submaximal exercise test can be used with the TBRS to predict VO2 peak in healthy adults.

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“…It was also evidenced to be an adequate metabolic consumption estimator through the HR on both gender individuals aged 20 to 71 years. Balderrama et al [16] used par tests; it is shown to have a performance similar to that obtained by direct measurements.…”

Section: Data Collectionmentioning

confidence: 91%

Regression Model to Estimate Standard Time through Energy Consumption of Workers in Manual Assembly Lines under Moderate Workload

Ayabar¹,

Riva

Sánchez

et al. 2015

Journal of Industrial Engineering

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We propose a Standard Time (ST) Estimate Model based on energy demand to attain more equal work distribution in manual assembly lines. The proposal was developed estimating the energy consumption by monitoring the heart rate (HR) of 84 people between 18 and 48 years old while performing repetitive activities under moderate workload (2.5–5.0 kilocalories/minute (Kcal/min)). Variables on one model were determined, which were based on energy consumption (EC) using the 13-variable Best-Subset function. Subsequently, a general equation for the Standard Time (ST) Estimate Model was calculated through lineal regression. Two significant variables were obtained: total kilocalories (Kcal tot.)/pieces and total Kcal/operation time (OT) for each station, which are included in a Standard Time Estimate Model. ST can be represented with a regression model measuring the total number of kilocalories consumed by workers and the OT, which can help companies to balance the cycle time in their assembly lines.

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Evaluation of three methodologies to estimate the VO2max in people of different ages

Cited by 23 publications

References 9 publications

Modelling and regulating of cardio-respiratory response for the enhancement of interval training

Modelling and regulating of cardio-respiratory response for the enhancement of interval training

Recumbent Stepper Submaximal Exercise Test to Predict Peak Oxygen Uptake

Regression Model to Estimate Standard Time through Energy Consumption of Workers in Manual Assembly Lines under Moderate Workload

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