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=6 1,9 0,47 272,0 37,1 3,05 0,42 151,8 9,6 89,2 4,1 39,5 4,0
=5 2,6 0,94 251,6 43,7 2,96 0,52 154,2 6,2 85,1 2,9 39,9 4,8
=5 2,2 0,06 210,0 30,0 2,65 0,27 148,6 16,7 79,1 7,8 36,9 2,5

=11 1,9 0,84 279,9 33,9 3,50 0,38 155,6 6,7 80,2 7,0 44,9 3,7
=11 2,0 0,49 240,7 48,0 2,93 0,54 150,9 12,5 82,0 4,3 39,1 5,5
=11 2,2 0,50 191,1 31,1 2,60 0,29 142,4 9,8 73,3 7,5 37,2 3,1

=11 1,9 0,61 278,0 25,0 3,55 0,33 167,5 30,7 78,5 4,5 46,0 3,8
=21 1,9 0,43 209,2 42,2 2,81 0,58 149,6 12,8 74,6 5,6 38,7 6,3
=14 1,8 0,32 171,6 23,5 2,49 0,35 146,0 9,1 69,3 4,6 36,1 3,7

=7 2,0 0,24 273,4 19,5 3,34 0,16 152,9 10,7 82,0 5,9 43,2 2,4
=7 1,8 0,38 225,3 40,0 2,95 0,47 146,9 10,2 76,4 6,7 39,8 5,2
=6 1,9 0,16 187,8 21,7 2,59 0,13 141,8 6,0 72,6 8,1 36,8 2,1
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3. P.M. / P.M. II . .: . 1968. . 9-30.
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12. Brunetto A.F. Ventilatory threshold and heart rate variability in adolescents I A.F. Brunetto, B.M. Silva, B.T. Roseguini, D.M. Hirail et al II Rev. Bras. Med. Esporte. 2005. Vol. 11. 1 Jan/Fev. P. 28-33.
13. Karapetian G.K. Use of heart rate variability to estimate LT and VT I
G.K. Karapetian, H.J. Engels, R.J. Gretebeck
II Int. J. Sports. Med. 2008. Vol.29. P. 652-657.
14. Lima J.R.P. Limiar de variabilidade da frequencia cardiaca I J.RP. Lima, M.A.P. Kiss II Rev. BrasAtiv. Fis. Saude. 1999. 9. P. 29-38.
15. Simoes R.P. Heart rate variability and blood lactate threshold interaction during progressive resistance exercise in healthy older men I R.P. Simoes, G. R. Mendes, V. Castello, H.G. Machado et al .11 Journal of Strength & Conditioning Research. 2010. Vol. 24. P. 1313-1320.
16. Ttolppo M.P. Quantitative beat-to-beat analysis of heart rate dynamics during exercise / M.P. Tulppo, T.H. Makikallio II Am. J. Physiol. 1996. P.244-252.
17. Voss A. The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death I A. Voss, J. Kurths, J. Kleiner. - Cardiovascular Research. 1996. P. 419-433.
Cardiointervalometry at an assessment of aerobic possibilities of athletes (for example, sports)
E.M. Kalinin, V.N. Seluyanov, S.K. Sarsaniya, V.A. Zaborova, Al Halili Mokhaned
Research purpose - to study aerobic capacity and role players of different skills using the cardiointervalometry. To achieve goal football players of different sports skill (the second division to level of teams of premieres of league, including players of a national team of team), all n= 115 of players (age of 17-36 years, mass of a body 77,3±7,8 kg, growth 182,4±6,6 by sm) were surveyed. All examinees carried out the test with in steps raising capacity on bicycle ergometer. The initial capacity was 37,5 W and increased by 37.5 W every 2 min. The pedaling rate remained constant (75 rpm). At the same time registered HR, the cardiac rhythm and cardiointerval threshold for each football player was studied using a Polar rs800cx. By results of the carried-out testing average values of indicators of a heart rate threshold (KANP) were calculated: dispersion (variability) cardio interval SD1 (ms): capacity MKAnP (W), MoKANP (W/kg); ChSS KANP (heartbeat / mines). Were as a result defined: a) indicators of aerobic possibilities of football players of various level of skill and role according to a cardiointervalomet, than level of skill of the football player is higher, than subjects is statistically authentically higher absolute MKAnP and relative capacity of a cardiointerval threshold of MOKANP above ChSSKAnP and mass of a body of football players: b) dispersion of SD1 (ms), at fixation of a cardio interval threshold, is on the average equal - 2,00±0,55 (ms) at all football players: c) the method allowing with high reliability (Rtt=0,97) to define aerobic possibilities of football players on the statistical analysis of variability cardiointerval is developed.
Key words: anaerobic threshold, method, cardiointerval variability.