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Vicon ProCalc is a visual application for creating custom kinematic models, variables and event calculations using a simple wizard-based system. Load C3D trial files, create new calculations and visualize outputs in an integrated 3D workspace. Variables and events calculated in ProCalc can be written back into the C3D file or exported directly to Excel.
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Altitude training camps are also used to increase sea-level physical performance.4 9 However, little is known about player tolerance to those camps. Living at high-altitude presents a physiological challenge for native sea-level athletes, with depressed immune function,10 altered autonomic function,11 acute mountain sickness (AMS) and sleep disturbance reported.1 These responses are problematic as they can negate the expected ergogenic benefits of the camps.12 Therefore, to optimise such training programmes, there is a need to examine the time course of wellness, fitness and performance responses during such camps. A need also exists to identify the most useful tools for monitoring these changes.
The primary aim of the present study was to examine the time course of wellness, fatigue and performance markers during a high-altitude training camp in sea-level and altitude native soccer players. The secondary aim was to assess the effects of the camp on the physical performance of native sea-level players after returning to near sea level.
Coefficient of determination (r2, stepwise multiple regression model) and associated correlation coefficient (r) illustrating the relationships between changes in Yo-Yo Intermittent Recovery Level 1 (Yo-YoIR1) and the different cardiovascular, autonomic and perceived measures for Australian (AU, n=51 observations) and Bolivian (BO, n=45 observations) players. None of the perceived measures were included in the final models.
The main results were as follows: (1) the Australian players had moderately-to-largely greater impairment in wellness, RPE and high-intensity running performance than the Bolivians when arriving at altitude; (2) the acclimatisation of most measures to altitude was slower in the Australian than in the Bolivian players; (3) precamp high-intensity performance was reached only by the Bolivians by the end of the camp; (4) both teams showed an impairment in 20m sprint times at the end of the camp; (5) HRex was the only variable showing clear associations with changes in high-intensity running performance in both teams.
During the camp, despite matching training volume, the Australians reported systematically greater perceived training/playing loads than the Bolivians (figure 1). While this initial difference could be related to carry-over effects of international travel, and acknowledging that data on external load (eg, distance covered at different speeds assessed through GPS) would be required to fully characterise training load in both groups, the doubling of the between-group standardised difference at altitude suggests a direct effect of altitude on the perceived exertion for the non-acclimatised players. This hypothesis is confirmed by the greater RPE increase in response to the submaximal run at altitude in the Australians (figure 2). In addition to a possibly greater relative training intensity, hypoxia itself also affects perceived exertion.39 In fact, central fatigue is likely elicited by low brain oxygenation,40 which was possibly lower in the Australians if we consider resting SpO2 levels (figure 2).
Two weeks of acclimatisation at high-altitude is not long enough for native sea-level players to fully recover their high-intensity running performance, despite resting measures of HR, HR variability and wellness having returned to normal.
Citation: Xu Y, Ye W, Song Q, Shen L, Liu Y, Guo Y, Liu G, Wu H, Wang X, Sun X, Bai L, Luo C, Liao T, Chen H, Song C, Huang C, Wu Y and Xu Z (2022) Using machine learning models to predict the duration of the recovery of COVID-19 patients hospitalized in Fangcang shelter hospital during the Omicron BA. 2.2 pandemic. Front. Med. 9:1001801. doi: 10.3389/fmed.2022.1001801
If then we write where . Also, we write if there exists an and such that ; otherwise we write . In the rest of this paper, we restrict ourselves to game graphs that are finitely branching, meaning that for each action a (of either player) there are only finitely many a-successors. 2ff7e9595c
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