CN110123299A - The appraisal procedure and its application of a kind of pair of horses exercise induced fatigue - Google Patents
The appraisal procedure and its application of a kind of pair of horses exercise induced fatigue Download PDFInfo
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- CN110123299A CN110123299A CN201910364905.XA CN201910364905A CN110123299A CN 110123299 A CN110123299 A CN 110123299A CN 201910364905 A CN201910364905 A CN 201910364905A CN 110123299 A CN110123299 A CN 110123299A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02405—Determining heart rate variability
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/62—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving urea
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/70—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving creatine or creatinine
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/40—Animals
Abstract
The present invention provides the appraisal procedures of a kind of pair of horses exercise induced fatigue, comprising the following steps: 1) organizes more dry goods to carry out long-distance test event of running, horses all-out sprint is made to finish the full distance；2) before and after test event, acquisition step 1) horses heart rate variability data and blood parameters；3) the outcome evaluation horses exercise induced fatigue degree that control step 2) obtains.In addition, the present invention also provides a kind of methods using the above-mentioned assessment to horses exercise induced fatigue to select pony comprising following steps: 1) assessing horses exercise induced fatigue degree using the above-mentioned appraisal procedure to horses exercise induced fatigue degree；2) pre-games Mean RR, RMSSD, SDNN, pNN50 index is relatively high, the relatively low horses of CREA, CK, LDH index are as outstanding horses for taking part in game.The above method faster, more intuitively reflects the functional state of horses, the recovery of the elimination and physical strength that accelerate fatigue, reduces the exercise induced fatigue damage of horses.
Description
Technical field
The invention belongs to technical field of livestock husbandry, and in particular to the appraisal procedure of a kind of pair of horses exercise induced fatigue and its answer
With.
Background technique
As speed horse racing race, horsemanship race holding interiorly are more and more, jockey club in all parts of the country, horsemanship
Club builds also cumulative year after year.In Equestrian competition, in order to make horses obtain superior achievement, horses hyperkinesia is led
The sports type damage of cause occurs often, or even sudden death.
Be not thorough to prevent and treat horses recovery of overtraining, horses caused fatigue damage occur, need it is a kind of quickly, it is straight
It sees, damage small method to detect the pre-games post-games degree of fatigue of horses, a large number of studies show that can be with by blood parameters
The fatigue state of horses is detected, but blood parameters are not convenient enough and intuitive.
Summary of the invention
Technical problem to be solved by the invention is to provide the appraisal procedure of a kind of pair of horses exercise induced fatigue, this method masters
To pass through the change to horses pre-games and post-games HRV (Heart Rate Variability heart rate variability) and blood parameters
Law is studied, relationship between HRV and blood parameters after analysis horses movement, thus faster, it is more intuitively anti-
The functional state that horses should be gone out, the recovery of the elimination and physical strength that accelerate fatigue reduce the exercise induced fatigue damage of horses.
To achieve the goals above, the technical solution used in the present invention is: the assessment of a kind of pair of horses exercise induced fatigue
Method, comprising the following steps:
1) it organizes more dry goods to carry out long-distance test event of running, horses all-out sprint is made to finish the full distance；
2) before and after test event, acquisition step 1) horses heart rate variability data and/or blood parameters；
3) the outcome evaluation horses exercise induced fatigue degree that control step 2) obtains.
Based on the above technical solution, the present invention can also have following further specific choice or optimum choice.
Specifically, long-distance described in step 1) run as 1000m-5000m.It is preferred that 2000m.
Specifically, the acquisition method of heart rate variability data described in step 1) is that heart rate receiver is mounted on the horses heart
Dirty corresponding sites are collected data.
Specifically, include before and after test event described in step 2) pre-games, post-games at once, post-games 30min and post-games 1h.
Specifically, heart rate variability data described in step 2) includes but is not limited to Mean RR (Mean of RR
Intrevals is averaged R-R spacing), SDNN (The standard deviation of RR intervals R-R separation criteria
Difference), RMSSD (Root mean square of successive differrnces adjacent R-R spacing only poor root mean square
Value), Mean HR (Mean heart rate average heart rate), PNN50 (The number of successive intervals
Heart rate of the difference of the adjacent two R wave spacing of heartbeat of differing more than 50ms greater than 50ms accounts for the hundred of total heart beats
Point ratio), HF (High frequrncy high frequency power), LF (Low frequency low frequency power), LF/HF (Low
Frequency/High frequency low frequency power/high frequency power), VLF (Very low frequency very low frequencies power),
One of SD1 (all standard deviations (Y) of normal two R waves), SD2 (all standard deviations (X) of normal two R waves) or several
Kind.Specifically, blood parameters described in step 2) include but is not limited to LAC (lactic acid), UREA (plasma wrea), CREA (blood
Creatinine), UA (blood uric acid), AST (glutamic-oxalacetic transaminease), CK (creatine kinase), one or more of LDH (lactic dehydrogenase).
In addition, the present invention also provides the sides that the method for using the assessment to horses exercise induced fatigue selects pony
Method comprising following steps:
1) horses exercise induced fatigue degree is assessed using the above-mentioned appraisal procedure to horses exercise induced fatigue degree；
2) using the horses that pre-games heart rate variability data are relatively high and/or blood parameters are relatively low as outstanding
Horses are for taking part in game.
It should be noted that carry out multiple indexs and meanwhile compare be in order to verify mutually, can obtain more accurately as a result,
Detection can be re-started when inconsistent or with reference to indexs such as test result or appearances.
Compared with prior art, the beneficial effects of the present invention are: it is provided by the invention to horses exercise induced fatigue degree
The movement that appraisal procedure passes through the evaluation horses of acquisition two kinds of data Comprehensives of heart rate variability data and blood parameters
Fatigue degree.And it is further, due to the acquisition of HRV index be more easier conveniently, it is at low cost, heart rate variability can be enabled
Property both data and blood parameters carry out correlation processing, thus finally using HRV index replace blood parameters inspection
Survey the fatigue state of horses.Pony is selected using the method for the assessment to horses exercise induced fatigue, method is accurately credible.
Specific embodiment
For a better understanding of the present invention, the content that the present invention is furture elucidated combined with specific embodiments below, but this hair
Bright content is not limited solely to the following examples.
Embodiment
Test Yili horse is worn into Polar Equine V800 heart rate monitor, so that heart rate receiver directly contacts horse
Sites corresponding to heart, and heart rate monitor is adjusted to R-R spacing mode.It organizes horses to carry out 2000m test event, makes horse
All-out sprint is finished the full distance, and according to test event achievement, horses are divided into outstanding group (10) and common group (10).According to the heart
Rate table monitoring data, using Kubioshrv software to pre-games, post-games at once, the heart rate variability of post-games 30min and post-games 1h
(HRV) achievement data is just analyzed.Meanwhile venous blood collection is carried out to horses under pre-games more rest state, and in post-games
At once, post-games 30min, post-games 1h carry out venous blood collection to Yili horse.
Test apparatus
This experiment mainly acquires R-R spacing data with Polar Equine V800 heart rate monitor；It is soft using Kubioshrv
Part to R-R distance values carry out processing analysis obtain pre-games, post-games at once, post-games 30min, post-games 1h HRV time domain index, frequency domain
Index, nonlinear indicator；Venous samples acquisition is carried out using vacuum blood collection tube, after the completion of acquisition, is centrifuged using 3500r/min
15min takes blood plasma, using Hitachi's 7600-114 automatic clinical chemistry analyzer detection blood plasma in AST, CK, LDH, UREA, UA,
CREA.LAC is measured using H/P/cosmos Portable blood lactic acid analysis instrument.
Test specimen acquisition and index determining
Pre-games, post-games at once, post-games 30min, post-games 1h HRV index: Mean RR, SDNN, RMSSD, Mean HR,
PNN50、HF、LF、LF/HF、VLF、SD1、SD2。
Pre-games, post-games at once, post-games 30min, post-games 1h blood parameters: LAC, UREA, CREA, UA, AST, CK,
LDH。
Statistical analysis
Institute's measured data is arranged by Excel, and by 20.0 software of SPSS to different time points HRV and blood
Achievement data carries out One-Way ANOVA variance analysis and Duncan ' s Multiple range test, to outstanding group and common group HRV data
Independent sample T inspection is carried out, bivariate correlation analysis is carried out to horses HRV and physiochemical indice.As a result with average ± standard
Difference indicates.
The variation of 2000m test event HRV time domain index
As shown in Table 1, by 2000m test event, survey Mean RR in four time point horses HRV time domain indexes,
SDNN, RMSSD and PNN50 show the rear raised trend that falls before, and Mean HR shows downward trend after first raising.?
In outstanding group of horses, Mean RR post-games is at once extremely significant to be lower than remaining pre-games, post-games 30min and post-games 1h (P < 0.01), match
1h is extremely significant afterwards is lower than pre-games (P < 0.01)；SDNN and PNN50 post-games is at once extremely significant to be lower than pre-games and post-games 1h (P <
0.01), post-games 1h and pre-games otherness be not significant (P > 0.05)；Mean HR post-games is at once extremely significant to be higher than pre-games and post-games
30min (P < 0.01), post-games 1h and pre-games otherness be not significant (P > 0.05)；RMSSD post-games is at once extremely significant to be lower than pre-games
(P < 0.01), substantially less than post-games 30min (P < 0.05), post-games 1h and pre-games otherness be not significant (P > 0.05).Common
In group horses, Mean RR post-games shows extremely significant otherness (P < between its excess-three detection time point at once
0.01), post-games 1h and pre-games are in extremely significant difference (P < 0.01)；SDNN and PNN50 is at once extremely significant lower than pre-games (P in post-games
< 0.01), post-games 1h and pre-games otherness be not significant (P < 0.05)；Mean HR post-games is at once extremely significant to be higher than before the competition term and matches
1h (P < 0.01) afterwards, post-games 1h are extremely significant to be higher than pre-games (P < 0.01)；RMSSD post-games is at once extremely significant to be lower than pre-games and post-games
1h (P < 0.01), post-games 1h and pre-games otherness be not significant (P > 0.05).
By to outstanding group and common group horses HRV time domain index carry out independent sample T inspection show pre-games Mean RR,
Outstanding group of horses of SDNN and RMSSD are all remarkably higher than common group horses (P < 0.05)；Post-games outstanding group of horses of Mean RR at once
Extremely significant to be higher than common group horses (P < 0.01), outstanding group of horses of PNN50 are significantly higher than common group horses (P < 0.05).
The variation of 1 2000m test event HRV time domain index of table
Note: colleagueShoulder mark is differentSignificant difference (P < 0.05) between lowercase, difference is extremely aobvious between different capitalizations
It writes (P < 0.01).Outstanding group of difference compared with general group of same columnSignificant shoulder mark*, difference poleSignificant shoulder mark**.Similarly hereinafter
The variation of 2000m test event HRV frequency domain mark
By 2 it is found that by 2000m test event, surveys VLF, LF and HF in four time point horses HRV frequency-domain index and present
Rear raised trend is fallen before out, and LF/HF shows downward trend after first raising.In outstanding group of horses, VLF, LF and HF
Post-games is at once extremely significant to be lower than pre-games and post-games 1h (P < 0.01), is in extremely significant difference (P between LF and HF post-games 1h and pre-games
< 0.01)；LF/HF is significantly higher than pre-games (P < 0.05) in post-games at once, not significant (the P > of difference between post-games 1h and pre-games
0.05).In commonly group horses, VLF and LF are at once extremely significant lower than pre-games and post-games 1h (P < 0.01), post-games 1h in post-games
Otherness is not significant (P > 0.05) between pre-games；HF is in extremely significant difference (P < 0.01) between pre-games in post-games at once,
Otherness is not significant (P > 0.05) between post-games 1h and pre-games.
By carrying out independent sample T inspection with common group horses HRV time domain index to outstanding group and showing VLF and LF post-games
At once outstanding group of horses are substantially less than common group horses (P < 0.05)；Outstanding group of horses of VLF post-games 30min are substantially less than general
Logical group horses (P < 0.05).
The variation of 2 2000m test event HRV frequency domain mark of table
The variation of 2000m test event HRV nonlinear indicator
As shown in Table 3, by 2000m test event, it is equal to survey SD1 and SD2 in four time point horses HRV nonlinear indicators
It shows and falls before rear raised trend.In outstanding group of horses, it is at once extremely significant lower than match that SD1 and SD2 show post-games
Preceding and post-games 1h (P < 0.01), otherness is not significant (P > 0.05) between post-games 1h and pre-games.In commonly group horses, SD2
Post-games is at once extremely significant to be lower than pre-games (P < 0.01), and otherness is not significant (P > 0.05) between post-games 1h and pre-games.
The variation of 3 2000m test event HRV nonlinear indicator of table
Horses LAC, UREA, CREA, UA otherness after 2000m test event
As shown in Table 4, by 2000m test event, survey LAC, UREA in four time point horses blood parameters,
CREA, UA show the trend for first increasing and reducing afterwards.In outstanding group of horses, LAC level reaches peak value in post-games at once,
It then begins to reduce, test between each stage in extremely significant difference (P < 0.01)；UREA concentration is in test event each stage equal nothing
Significant changes (P > 0.05)；CREA reaches highest in post-games with UA concentration at once, and then slowly decline, extremely aobvious with pre-games difference
It writes (P < 0.01), with post-games 30min and post-games 1h without significant difference (P > 0.05).In commonly group horses, LAC concentration is being matched
Reach maximum at once afterwards, it is extremely significant to be higher than pre-games and post-games 1h (P < 0.01)；UREA concentration is in test event each stage without significant
Change (P > 0.05)；CREA reaches highest in post-games with UA concentration at once, then begins to decline, and is in extremely significant difference with pre-games
(P < 0.01), with post-games 30min and post-games 1h without significant difference (P > 0.05).
By carrying out detection with common group horses blood parameters to outstanding group and showing outstanding group of horse of pre-games CREA concentration
It is significantly higher than common group horses (P < 0.05)；UA concentration is extremely significant to be higher than common group horses (P < 0.01).
4 horses of table LAC, UREA, CREA, UA otherness after 2000m test event
Horses AST, CK, LDH otherness after 2000m test event
As shown in Table 5, by 2000m test event, AST, CK, LDH in four time point horses blood parameters are surveyed
Downward trend after first rising is presented in concentration.In outstanding group of horses, AST concentration reaches maximum concentration and significant in post-games at once
Higher than pre-games (P < 0.05), with post-games 30min and post-games 1h without significant difference (P > 0.05)；CK concentration reaches at once in post-games
To peak value and it is extremely significant be higher than pre-games (P < 0.01), difference is not significant (P > 0.05) between post-games 30min and post-games 1h.LDH
Level is greater than pre-games, post-games 30min, post-games 1h in post-games at once, but without significant difference (P > 0.05).In commonly group horses,
AST concentration reaches peak value in post-games at once, and difference is extremely significant (P < 0.01) between pre-games, post-games 30min, post-games 1h；CK concentration
Reach maximum value at once in post-games, and pre-games significant difference, but without significant difference between post-games 30min and post-games 1h；LDH concentration
In test event each stage without significant changes (P > 0.05).
By to outstanding group and common group horses HRV time domain index into analysis shows, outstanding group of pre-games CK concentration is extremely significant
Lower than common group (P < 0.01)；LDH concentration is substantially less than common group horses (P < 0.05)；AST, CK concentration are outstanding at once for post-games
Group horses are substantially less than common group horses (P < 0.05)；Common group horse is substantially less than in post-games 30min and post-games 1h CK concentration
(P < 0.05).
5 horses of table AST, CK, LDH otherness after 2000m test event
Outstanding group of HRV and physiochemical indice correlation research
As shown in Table 6, after outstanding group of horses 2000m exhausted movemeat, Mean RR and SDNN, RMSSD, VLF, LF, HF,
The extremely significant positive correlation (P < 0.01) of SD1, SD2, and PNN50 significant related (P < 0.05), with Mean HR, the pole LAC, CREA, UA
It is significant negatively correlated, it is significantly negatively correlated with LF/HF, CK.SDNN and extremely significant positive correlation (the P < of RMSSD, LF, HF, SD1, SD2
0.01) (P < 0.05) significantly, is positively correlated with VLF, it is aobvious with Mean HR, CREA, UA with LAC extremely significant negatively correlated (P < 0.01)
Write negatively correlated (P < 0.05).Mean HR and the extremely significant positive correlation (P < 0.01) of LF/HF, LAC, CK, are significantly positively correlated with CREA
(P < 0.05), and RMSSD, VLF, LF, HF, SD1, SD2 extremely significant negatively correlated (P < 0.01), with the significant negative correlation (P of PNN50
< 0.05).RMSSD and the extremely significant positive correlation (P < 0.01) of PNN50, VLF, LF, HF, SD1, SD2 are extremely significant with LAC, UA, CK
Negatively correlated (P < 0.01), with CREA significant negatively correlated (P < 0.05).PNN50 and the extremely significant positive correlation (P < 0.01) of LF, HF,
It is significantly positively correlated with VLF, SD1, SD2 (P < 0.05), it is significant with CREA and LD with LAC, CK extremely significant negatively correlated (P < 0.01)
Negatively correlated (P < 0.05).HF and the extremely significant positive correlation (P < 0.01) of SD1, SD2, with the extremely significant negative correlation (P of LAC, CREA, UA
< 0.01), with LF/HF, CK significant negatively correlated (P < 0.05).LF/HF and CK significant related (P < 0.05).SD1 and SD2 is extremely aobvious
It writes and is positively correlated (P < 0.01), it is significantly negatively correlated (P < 0.05) with UA, AST with LAC extremely significant negatively correlated (P < 0.01).SD2
It is significantly negatively correlated (P < 0.05) with AST with LAC extremely significant negatively correlated (P < 0.01).LAC and the extremely significant positive of CREA, UA, CK
It closes (P < 0.01).CREA and the extremely significant positive correlation (P < 0.01) of UA.AST and the extremely significant positive correlation (P < 0.01) of LDH.
6 outstanding groups of HRV of table and physiochemical indice correlation research
Note: * indicates that correlation is significant (P < 0.05), and * * indicates related extremely significant (P < 0101)；Similarly hereinafter
Common group HRV and physiochemical indice correlation research
As shown in Table 7, horses Mean RR and the extremely significant positive of SDNN, RMSSD, PNN50, VLF, LF, HF, SD2 are commonly organized
It closes (P < 0.01), and Mean HR, LAC, CREA, UA extremely significant negatively correlated (P < 0.01), with significant negative correlation (the P < of LDH
0.05).SDNN and the extremely significant positive correlation (P < 0.01) of RMSSD, PNN50, VLF, LF, HF, SD1, SD2 are extremely aobvious with Mean HR
Negatively correlated (P < 0.01) is write, with UA significant negatively correlated (P < 0.05).Mean HR and the extremely significant positive of LAC, CREA, UA, AST
It closes (P < 0.01), it is significantly negatively correlated with SD1 with RMSSD, PNN50, VLF, LF, HF, SD2 extremely significant negatively correlated (P < 0.01)
(P < 0.05), RMSSD and the extremely significant positive correlation (P < 0.01) of PNN50, VLF, LF, HF, SD2, are significantly positively correlated (P < with SD1
0.05), with LAC, CREA, UA extremely significant negatively correlated (P < 0.01), PNN50 and the extremely significant positive correlation of VLF, LF, HF, SD1, SD2
(P < 0.01), with LAC significant negatively correlated (P < 0.05).VLF and the extremely significant positive correlation (P < 0.01) of LF, SD1, SD2, with HF
It is significant to be positively correlated (P < 0.05), it is significantly negatively correlated (P < 0.05) with LAC and LDH with CK extremely significant negatively correlated (P < 0.01).
LF and the extremely significant positive correlation (P < 0.01) of SD2, are significantly positively correlated (P < 0.05) with HF and SD1, with significant negative correlation (the P < of CK
0.05).HF and the extremely significant positive correlation (P < 0.01) of SD1, with UA significant negatively correlated (P < 0.05).SD1 and the extremely significant positive of SD2
Close (P < 0.01), with AST extremely significant negatively correlated (P < 0.01).SD2 and CK extremely significant negatively correlated (P < 0.01), with LAC,
CREA, UA significant negatively correlated (P < 0.05).LAC and UREA, CREA, UA significant negatively correlated (P < 0.05).UREA and UA and CK
Significant negative correlation (P < 0.05).CREA and the extremely significant positive correlation (P < 0.01) of UA.AST and LDH are significantly positively correlated (P <
0.05).CK and the extremely significant positive correlation (P < 0.01) of LDH.
Table 7 commonly organizes HRV and physiochemical indice correlation research
According to above-mentioned experimental data it is found that Mean RR after Yili horse 2000m test event, RMSSD, SDNN, pNN50, VLF,
LF, HF are extremely significant static lower than pre-games, and Mean HR and LF/HF are significantly higher than pre-games static state, show that sympathetic nerve activity enhances,
Vagal activity weakens, and the variation tendency of these indexs, which shows to lead to, can cross HRV to evaluate Yili horse exercise induced fatigue.It is outstanding
Vagal Mean RR of group pre-games, RMSSD, SDNN, pNN50 are significantly higher than common group, these indexs can be used to evaluate horse
Motion state.
In test Mean HR and LAC extremely it is significant it is related it is significant be positively correlated, Mean RR, SDNN, RMMSD, pNN50,
The extremely significant negative correlation of VLF, LF, HF, SD1, SD2 and LAC, Mean RR, LF and the extremely significant negative correlation of CREA, Mean RR,
The extremely significant negative correlation of RMMSD, VLF, LF, HF and UA, Mean HR with the extremely significant positive correlation of CK, RMMSD, pNN50 and CK
Therefore extremely significant positive correlation can use the fatigue state that blood parameters detection horses can be replaced with HRV index.
The extremely significant pre-games that is higher than of LAC, CREA, UA, AST, CK is static after Yili horse 2000m test event, shows to lead to
The variation tendency of these indexs is crossed to evaluate Yili horse exercise induced fatigue.Outstanding group of pre-games CREA, CK, LDH level is substantially less than
Common group, UA level is significantly higher than common group, shows that these indexs can be used to evaluate the motion state of horses.
In test Mean HR and LAC extremely it is significant it is related it is significant be positively correlated, Mean RR, SDNN, RMMSD, pNN50,
The extremely significant negative correlation of VLF, LF, HF, SD1, SD2 and LAC, Mean RR, LF and the extremely significant negative correlation of CREA, Mean RR,
The extremely significant negative correlation of RMMSD, VLF, LF, HF and UA, Mean HR and the extremely significant positive correlation of CK, the pole RMMSD, pNN50 and CK
Therefore significant positive correlation can replace the fatigue state of blood parameters detection horses, to pick out with HRV index
Pony.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. the appraisal procedure of a kind of pair of horses exercise induced fatigue, which comprises the following steps:
1) it organizes more dry goods to carry out long-distance test event of running, horses all-out sprint is made to finish the full distance；
2) before and after test event, acquisition step 1) horses heart rate variability data and/or blood parameters；
3) the outcome evaluation horses exercise induced fatigue degree that control step 2) obtains.
2. the appraisal procedure of a kind of pair of horses exercise induced fatigue according to claim 1, it is characterised in that: institute in step 1)
State long-distance run as 1000m-5000m.
3. the appraisal procedure of a kind of pair of horses exercise induced fatigue according to claim 2, it is characterised in that: institute in step 1)
State long-distance run as 2000m.
4. the appraisal procedure of a kind of pair of horses exercise induced fatigue according to claim 1, it is characterised in that: institute in step 1)
The acquisition method for stating heart rate variability data is that heart rate receiver is mounted on sites corresponding to horses heart to receive
Collect data.
5. the appraisal procedure of a kind of pair of horses exercise induced fatigue according to claim 1, it is characterised in that: institute in step 2)
State before and after test event include pre-games, post-games at once, post-games 30min and post-games 1h.
6. the appraisal procedure of a kind of pair of horses exercise induced fatigue according to claim 1-5, it is characterised in that: step
It is rapid 2) described in heart rate variability data include one or more of Mean RR, SDNN, RMSSD and PNN50.
7. the appraisal procedure of a kind of pair of horses exercise induced fatigue according to claim 6, it is characterised in that: institute in step 2)
Stating blood parameters includes one or more of CREA, UA and LDH.
8. a kind of use the side for selecting the method for the assessment of horses exercise induced fatigue pony as claimed in claim 7
Method comprising following steps:
1) horses exercise induced fatigue degree is assessed using the above-mentioned appraisal procedure to horses exercise induced fatigue degree；
2) using the horses that pre-games heart rate variability data target is relatively high and/or blood parameters are relatively low as outstanding
Horses are for taking part in game.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910364905.XA CN110123299A (en) | 2019-04-30 | 2019-04-30 | The appraisal procedure and its application of a kind of pair of horses exercise induced fatigue |
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| CN201910364905.XA CN110123299A (en) | 2019-04-30 | 2019-04-30 | The appraisal procedure and its application of a kind of pair of horses exercise induced fatigue |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112914536A (en) * | 2021-03-24 | 2021-06-08 | 平安科技（深圳）有限公司 | Motion state detection method and device, computer equipment and storage medium |
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