PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 2620195

Anaerobic threshold estimation by statistical modelling.

A M Soler·M Folledo·L E Martins·E C Lima-Filho·L Gallo Júnior
View original source ↗Export metadata ↓

Abstract

Anaerobic threshold (AT) is usually estimated as a change point problem by visual analysis of the cardiorespiratory response to incremental dynamic exercise. In this study, two phase linear (TPL) models of the linear-linear and linear-quadratic type were used for the estimation of AT. The correlation coefficient between the classical and statistical approaches was 0.88, and 0.89 after outlier exclusion. The TPL models provide a simple method for estimating AT that can be easily implemented using a digital computer for the automatic pattern recognition of AT.

Explore related subjects

Anaerobic ThresholdExercise TestHeart RateHumansRegression AnalysisRespirationJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

A M Soler, M Folledo, L E Martins, E C Lima-Filho, L Gallo Júnior. 1989. Anaerobic threshold estimation by statistical modelling.. https://pubmed.ncbi.nlm.nih.gov/2620195/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed1992

Determining the variability of performance on Wingate anaerobic tests in children aged 6-12 years.

In two parts, this study investigated variability of performance in Wingate anaerobic tests (WAnTs) of normal, healthy, male children aged six, eight, ten and twelve years. The purpose of the first part of the study was to investigate the mean coefficient of variation (C.V. = [S.D./X].100) of children who performed four WAnTs over a period of four weeks. The results revealed age-related differences in the performance data of peak power (PP) and mean power (MP) but no differences between age groups in fatigue index (FI%) = [PP-Pend)/PP.100]. C.V. data from this group of children did not differ significantly between ages in any of the dependent variables. Coggan and Costill (5) measured the variability of male adults during 30 seconds of highly intense cycling and reported C.V.s in PP and MP performances of 6.7 and 6.5%, respectively. C.V.s of children in the first part of the present study were 7.3 and 6.8% for PP and MP, respectively. The C.V. in the FI% of the children (26.7%) however differed substantially from the previously studied adults (10.3%). The second part of the study was conducted to examine the C.V. in FI% performances of children in the WAnT. The purpose of this part of the study was to examine the extent to which a computerized onscreen game, which was linked to pedal cadence affected the variability of children performing WAnTs. A significant decrease was obtained in the C.V. of the FI% in the presence of the computerized feedback game (16.3 and 23.6, with and without the game, respectively). It is suggested that game-based testing procedures may ensure more consistent result in the assessment of pediatric populations.

Anaerobic Threshold↗
PubMed1992

Seasonal deterioration of selected physiological variables in elite male skiers.

The purpose of this study was to determine whether seasonal deterioration in physiological variables could be observed in skiers. Eighteen international male British downhill, free-style, and speed skiers were subjected to a maximal treadmill running test, a 30-s Wingate test, and isokinetic dynamometry at the beginning, middle, and end of the 1989-90 competition season. Maximal oxygen intake (VO2max) and respiratory anaerobic threshold (T vent) were among the parameters measured on the treadmill test, while peak and mean power outputs were measured during the Wingate test. During dynamometry, knee flexors and extensors were bilaterally assessed at 1.04 and 3.14 rad.s-1. Mean VO2max (p < 0.01) and mean T vent (p < 0.05) were lower at the end compared to the beginning, but not compared to the middle of the competition season. The isokinetic test demonstrated lower mean peak torques at 1.04 rad.s-1, for the knee extensors measured at the end of the season, compared with both the start (p < 0.01) and the middle (p < 0.05). Also at 1.04 rad.s-1, knee flexors produced lower torques at the end than the start of the season (p < 0.05). No further statistical differences were found. It was concluded that seasonal deterioration in key physiological variables such as aerobic endurance and muscle strength, can be observed in elite alpine skiers, and that in-season fitness training programmes should take account of this.

Anaerobic Threshold↗