Application Of HRV In The Evaluation Of Physical Function And Training Load Of Female Race Walking Athletes Native Plateau

Objectives:In this study,8 yunnan women’s walkers who are preparing for the14 th National Games are selected as the experimental subjects.In order to explore the feasibility of HRV for training monitoring of female race walking athletes living at high altitude,the HRV test was conducted on female race walking athletes living at high altitude after key lessons,and the change characteristics of HRV under different key lessons and load intensity were analyzed to explore the correlation between HRV and TRIMP,RPE and functional indicators.To analyze whether HRV can be used as an indicator to evaluate exercise load and physical function of athletes.methods :In this study,The Omegawave system was used to test the HRV indexes of female athletes living at high altitude on the night and the next morning of key training sessions.Gunnar Borg’s RPE scale was used to record the fatigue level of the athletes after an important class.During the key training sessions,the Polar team heart rate meter was used to record the heart rate,and the exercise load of the training session was calculated by TRIMP.Blood was collected from athletes periodically and biochemical analysis was carried out.The whole monitoring period is divided into four periods: winter training period（S1）,summer training period（S2）,preparation period（S3）and intensive training period（S4）.The winter training period in the small cycle is divided into W1,W2,W3,W4,W5,W6,W6 and W8 by week.The HRV indexes in monitoring period and winter training period were analyzed comprehensively.The correlation between HRV and RPE,TRIMP and body function indexes was analyzed.Results:（1）Change of HRV during the whole monitoring period: the HRV index during the whole monitoring period changed significantly in S3 stage compared with SDSD,RMSSD,TP,LF and LFu.n,which showed a significant downward trend in general.RMSSD mainly showed an upward trend in the next morning,with an increase of 11%.LFu.n decreased significantly in S4,S1 and S2.Comparison by stages Both SDSD and RMSSD showed an upward trend in S2 stage,SDSD increased by 23.5% and RMSSD increased by 22.6%.RMSSD indicator increases20% in S3 period.LFn.u dropped 14.2% the next morning.LFn.u decreased by23.2% in S2 stage.TP and HF increased 68.8% and 102.5% in the next morning of S3 period.（2）Changes in HRV during the winter training period: Compared with the HRV index at the night of the key training session in the winter training period,the TP index W3 was significantly higher than W1,and significantly lower than W3 in W5.The LF/HF index was at the highest level in the first week,and decreased significantly in W6 and W8 compared with W1,decreased significantly in W2,W3,W4,W5 and W6,and HFn.u increased significantly in W2 compared with W1.Lfn.u index was at the lowest level in W2,significantly decreased in W2 compared with W1,significantly increased in W3 and W6 compared with W2,and significantly increased in W8.Compared with W1,SDNN significantly decreased in W5,W6 and W8,LF/HF significantly decreased in W4,and LF/HF significantly increased in W6 compared with W4.Compared with W2,HFn.u decreased significantly in W6 and W8,while LFn.u increased significantly in W8.Compared with the next morning,SDNN decreased significantly in the next morning,while HFn.u increased significantly in the next morning.（3）The correlation between HRV and exercise load and body function indicators:（1）There was a correlation between HRV and RPE、TRIMP during the whole monitoring period.SDNN was negatively correlated with RPE on the night of key lessons.SDNN and SDSD were negatively correlated with TRIMP in the evening of key training course,and SDNN and HFn.u were negatively correlated with TRIMP in the morning of the next day.（2）The indicators of the four stages of HRV were correlated with RPE and TRIMP.RPE is mainly negatively correlated.In S1 stage,RPE showed significant negative correlation with SDNN,SDSD,RMSSD and TP,significant negative correlation with HF and HFn.u,significant positive correlation with LFn.u and significant negative correlation with SDNN in S4.There was a significant positive correlation between RPE and HFN.u in S3 stage.The correlation with TRIMP was as follows: there was a significant negative correlation with SDNN index in S4 stage,a significant positive correlation with LF/HF on the next day of S3,and a significant positive correlation with LF on the morning of S4.（3）HRV index was correlated with body function index,which showed that SDSD,RMSSD,TP,HF of HRV index were significantly negatively correlated with WBC,BUN,C.Conclusions:（1）TRIMP can be used as the main index of exercise load assessment for female race walkers living in plateau.In this study,TRIMP of athletes presented an "inverted V" curve during the whole monitoring period,which was in line with the characteristics of periodic training arrangements for endurance events.（2）During the whole monitoring period,HRV showed a v-shaped curve with the change of exercise load: with the increase of exercise load,the regulation ability of autonomic nervous system decreased,and the sympathetic nerve played a leading role after exercise,and the parasympathetic nerve activity increased during the recovery process.With the decrease of exercise intensity,the athletes’ ability to adapt to training is strengthened,and the activity of cardiac autonomic nervous system is increased.After training,HRV is reduced to a certain extent,but can be restored to the normal level after recovery.The accumulation of fatigue in athletes will lead to the decline of HRV indicators,and the regulatory ability of cardiac autonomic nervous system will be inhibited.（3）HRV and RPE and TRIMP of female race walkers living in plateau were negatively correlated,suggesting that HRV could be used as an indicator to monitor exercise load.The correlation between HRV and physiological and biochemical indexes suggests that HRV indexes can be used to evaluate athletes’ physical function state.（4）HRV can be used as a training monitoring index for women race walkers living in plateau,providing reference for training monitoring of women endurance events on plateau and scientific basis for coaches to monitor sports training.