CN107145716A - Balance index model and its construction method and application in motion function analysis based on big data - Google Patents
Balance index model and its construction method and application in motion function analysis based on big data Download PDFInfo
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- CN107145716A CN107145716A CN201710237098.6A CN201710237098A CN107145716A CN 107145716 A CN107145716 A CN 107145716A CN 201710237098 A CN201710237098 A CN 201710237098A CN 107145716 A CN107145716 A CN 107145716A
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Abstract
The present invention relates to motion function analysis technical field, balance index model in more particularly to a kind of motion function analysis based on big data：The monolithic stability index that training system tests each sportsman of entire squad is assessed using Biodex constant speed muscle strengths, standard value M, the standard deviation SD of the monolithic stability index of entire squad are calculated, according to formula calculated equilibrium energy bar numerical value.By setting up balance index model in the motion function analysis based on big data, balance index is converted into the form for the energy bar fraction for having actual reference significance to match, coach can be allowed according to the state of each sportsman, match is preferably instructed, play the value of sportsman；Balance index is converted into the form of energy bar fraction, sportsman itself is allowed also can preferably to position position of the balanced capacity of oneself in entire squad, so as to excite the psychology of seeking to do others down of sportsman, more positive is trained for short slab index, is conducive to lifting team overall strength.
Description
Technical field
The present invention relates to motion function analysis technical field, in more particularly to a kind of motion function analysis based on big data
Balance index model, further relates to the construction method of balance index model and its application in the motion function analysis.
Background technology
Biodex constant speed muscle strengths assess the first choice that training system is the whole world many well-known medical institutions and scientific research institutions, are permitted
Many shaping medical science, paediatrics, neural rehabilitation, gerontology, sports medical science and each individual science and sports scientific research institution are just
The constant speed muscle strength for relying on Biodex companies of the U.S. assesses training system to provide continuous accurately objective data.These objective datas
Optimal rehabilitation scheme can be provided for patient, the assessment of locomitivity is carried out to sportsman.System4 types constant speed muscle strength is provided
Optimal rehabilitation scheme, the assessment of locomitivity is carried out to sportsman.
Test subject is needed by stablizing lower limb and the unstable of platform being made a response above the waist.The performance of some sportsmen
It is variant with team average level.Because high reaction stability is conducive to sick and wounded prevention, so, balance test (Balance
Test it is) an essential test event in team safeguards.Main test index has following 3：
1、OSI:Overall stability index (monolithic stability index)
Monolithic stability index represents the ankle-joint of test pin during all angular movements, in test platform displacement degree side
Difference, reflects focus point deviation range.Sorted by team whole machine balancing ability, can with rapid screening sportsman of problems,
Its intermediate value is bigger, and balanced capacity is poorer, and the sportsman that value is more than or equal to 3 needs to strengthen balance training.
2、API:Anterior/posterior index (front/rear index)
Front/rear index is represented in sagittal plane motion process, and pin is in test platform displacement degree variance.Whole machine balancing ability is sieved
Find after sportsman of problems, can find out balance above and below problem pin referring again to the sequence of problem pin up and down motion balanced capacity has
Problem sportsman, so as to carry out specific aim exercise, its intermediate value is bigger, and balanced capacity is poorer, and the sportsman that value is more than or equal to 3 needs to strengthen
Problem pin balance training.
3、MLI:Medial/lateral index (left/right index)
Left/right index represents the pin platform displacement degree variance during plane motion.Sorted by whole machine balancing ability,
Problem pin left-right balance can be found out referring again to the sequence of side-to-side movement balanced capacity with rapid screening pin sportsman of problems
Problematic sportsman, so as to carry out specific aim exercise, its intermediate value is bigger, and balanced capacity is poorer, and sportsman of the value more than or equal to 3 needs to add
Strong problem pin balance training.
Several test indexs are all professional test indexs above, and the numerical value of index is, it is necessary to which very professional personnel could be bright
The white implication that it is specifically represented, for most people, has any problem, so applicability is not universal enough.How to make these special
Industry index can allow more people to understand and understand its implication represented, it is necessary to set up one and intuitively show mould
Type, this is the problem of also non-someone's research in the prior art.
The content of the invention
In order to solve the problem of above balanced capacity test index applicability is not universal, it will be balanced the invention provides a kind of
Balance index mould during the motion function based on big data that aptitude tests index sets up a kind of direct correlation with hundred-mark system is analyzed
Type.
The invention also discloses the construction method of balance index model in motion function analysis.
Present invention also offers application of the balance index model in football sports in motion function analysis.
The present invention is achieved by the following measures：
Balance index model in a kind of motion function analysis based on big data, through the following steps that building what is obtained：
(1) the monolithic stability index that training system tests each sportsman of entire squad is assessed using Biodex constant speed muscle strengths,
Standard value M, the standard deviation SD of the monolithic stability index of entire squad are calculated,
(2) according to the standard value and standard deviation of the monolithic stability index obtained in step (1), calculated equilibrium energy bar
Numerical value,
Step1 obtains the equilibrium energy bar score of right crus of diaphragm and left foot respectively, and circular is as follows：
If the monolithic stability index of left foot/right crus of diaphragm is x, then left foot/right crus of diaphragm equilibrium energy bar score is as follows
If x<=(M-1.5 × SD), then equilibrium energy bar numerical value=100；
If (M-1.5 × SD)<x<=(M-SD), then
If (M-SD)<x<=(M-0.5 × SD), then
If (M-0.5 × SD)<x<=M, then
If M<x<=(M+0.5 × SD), then
If (M+0.5 × SD)<x<=(M+SD), then
If x>(M+SD), then endurance energy bar numerical value=50；
Step2
Balance index model in described motion function analysis, preferably applicable object are individual sportsman or entire squad.
Balance index model in described motion function analysis, builds what is obtained preferably through following steps：
(1) the monolithic stability index of each sportsman of entire squad is tested using Cybex balance systems, entire squad is calculated
Monolithic stability index standard value 3.9 and standard deviation 1.9,
(2) according to the standard value and standard deviation of the monolithic stability index obtained in step (1), calculated equilibrium energy bar
Numerical value,
Step1 obtains the equilibrium energy bar score of right crus of diaphragm and left foot respectively, and circular is as follows：
If the monolithic stability index of left foot/right crus of diaphragm is x, then left foot/right crus of diaphragm equilibrium energy bar score is as follows
(1) if x<=1.05, then equilibrium energy bar numerical value=100；
(2) if 1.05<x<=2, then
(3) if 2<x<=2.95, then
(4) if 2.95<x<=3.9, then
(5) if 3.9<x<=4.85, then
(6) if 4.85<x<=5.8, then
(7) if x>5.8, then endurance energy bar numerical value=50；
Step2
Application of the balance index model in football sports in described motion function analysis.
Beneficial effects of the present invention：
1. by setting up balance index model in the motion function analysis based on big data, balance index is converted into
There is the form of the energy bar fraction of actual reference significance to match, coach can be allowed according to the state of each sportsman, preferably referred to
Match is led, the value of sportsman is played；
The 2nd, balance index is converted into the form of energy bar fraction, allows sportsman itself to the balanced capacity of oneself whole
Position in individual team also can preferably be positioned, so as to excite the psychology of seeking to do others down of sportsman, more positive enters for short slab index
Row training, is conducive to lifting team overall strength；
The 3rd, balance index is converted into the form of energy bar fraction, sportsman's balanced capacity can be changed with time
Trend visualization shows, and contributes to coach and the personal balanced capacity development of sportsman quantitative evaluation sportsman directly perceived.
Embodiment
In order to be better understood from the present invention, further illustrated with reference to specific embodiment.
Embodiment 1：
A) Luneng Mount Taishan whole team of football team equilibrium energy bar be according to the monolithic stability index of sportsman convert and come, change
The canonical reference Biodex constant speed muscle strengths of calculation assess the monolithic stability standard of index value 3.9 and standard carried in training system equipment
Poor 1.9.Then shown in monolithic stability index and the mapping table of energy bar：
The calculating of whole team's equilibrium energy bar is specifically divided into following two step ---
Step1 obtains right crus of diaphragm, left foot equilibrium energy bar score, and circular is as follows：
If whole team monolithic stability index (left/right) average is x, (left/right) equilibrium energy bar score of the team is sought
(1) if x<=1.05, then equilibrium energy bar numerical value=100；
(2) if 1.05<x<=2, then
(3) if 2<x<=2.95, then
(4) if 2.95<x<=3.9, then
(5) if 3.9<x<=4.85, then
(6) if 4.85<x<=5.8, then
(7) if x>5.8, then endurance energy bar numerical value=50；
Step2
B) personal equilibrium energy bar is to be converted and come according to the monolithic stability index of sportsman, and the standard reference of conversion is set
The standby standard value 3.9 and standard deviation 1.9 above carried.Monolithic stability index and the corresponding relation of energy bar are as follows：
Step1 obtains some sportsman's right crus of diaphragm, left foot equilibrium energy bar score, and circular is as follows：
If the monolithic stability index (left/right) of some sportsman is x, (left/right) equilibrium energy bar of the sportsman is sought：
(1) if x<=1.05, then equilibrium energy bar numerical value=100；
(2) if 1.05<x<=2, then
(3) if 2<x<=2.95, then
(4) if 2.95<x<=3.9, then
(5) if 3.9<x<=4.85, then
(6) if 4.85<x<=5.8, then
(7) if x>5.8, then endurance energy bar numerical value=50；
Step2
Embodiment 2：
18 sportsmen are selected, the monolithic stability index of its left and right pin is gathered respectively, the model built in embodiment 1 is then substituted into
In, the energy bar score of 18 sportsmen or so pin is calculated respectively, is calculated the equilibrium energy bar numerical value of each sportsman, be see the table below.
As can be seen from the table, the monolithic stability index of sportsman and energy bar score, Long-term change trend are to maintain a correlation
Property.But energy bar score, the balanced capacity to judging sportsman, more intuitively and with comparative, with wider receiving
Degree.
Above-described embodiment is not limited for the present invention preferably embodiment, but embodiments of the present invention by embodiment
System, other any Spirit Essences and the change made under principle, modifications without departing from the present invention, combines, substitutes, simplifying and should be
Equivalence replacement mode, is included within protection scope of the present invention.
Claims (4)
1. balance index model in a kind of motion function analysis based on big data, it is characterised in that through the following steps that building
Obtain：
(1) the monolithic stability index that training system tests each sportsman of entire squad is assessed using Biodex constant speed muscle strengths, calculated
Go out standard value M, the standard deviation SD of the monolithic stability index of entire squad,
(2) according to the standard value and standard deviation of the monolithic stability index obtained in step (1), calculated equilibrium energy bar number
Value,
Step1 obtains the equilibrium energy bar score of right crus of diaphragm and left foot respectively, and circular is as follows：
If the monolithic stability index of left foot/right crus of diaphragm is x, then left foot/right crus of diaphragm equilibrium energy bar score is as follows
If x<=(M-1.5 × SD), then equilibrium energy bar numerical value=100；
If (M-1.5 × SD)<x<=(M-SD), then
If (M-SD)<x<=(M-0.5 × SD), then
If (M-0.5 × SD)<x<=M, then
If M<x<=(M+0.5 × SD), then
If (M+0.5 × SD)<x<=(M+SD), then
If x>(M+SD), then endurance energy bar numerical value=50；
Step2
2. balance index model in motion function analysis according to claim 1, it is characterised in that applicable object is individual
Sportsman or entire squad.
3. balance index model in motion function analysis according to claim 1, it is characterised in that through the following steps that
Build what is obtained：
(1) the monolithic stability index that training system tests each sportsman of entire squad, reference are assessed using Biodex constant speed muscle strengths
The standard value 3.9 and standard deviation 1.9 of the monolithic stability index carried in equipment,
(2) according to the standard value and standard deviation of the monolithic stability index obtained in step (1), calculated equilibrium energy bar number
Value,
Step1 obtains the equilibrium energy bar score of right crus of diaphragm and left foot respectively, and circular is as follows：
If the monolithic stability index of left foot/right crus of diaphragm is x, then left foot/right crus of diaphragm equilibrium energy bar score is as follows
(1) if x<=1.05, then equilibrium energy bar numerical value=100；
(2) if 1.05<x<=2, then
(3) if 2<x<=2.95, then
(4) if 2.95<x<=3.9, then
(5) if 3.9<x<=4.85, then
(6) if 4.85<x<=5.8, then
(7) if x>5.8, then endurance energy bar numerical value=50；
Step2
4. balance index model answering in football sports in the motion function analysis any one of a kind of claim 1-3
With.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109829664A (en) * | 2019-04-12 | 2019-05-31 | 深圳市一起去赛网络技术有限公司 | A kind of method and system of young people sports public service performance quantization assessment |
| CN110379516A (en) * | 2019-07-24 | 2019-10-25 | 国网山东省电力公司鲁能体育文化分公司 | A kind of motion function based on big data analyzes the construction method of sick and wounded risk probability prediction nonlinear model |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101866386A (en) * | 2010-06-25 | 2010-10-20 | 杭州维肖软件科技有限公司 | Flexible body bump processing method based on energy balance |
| CN104042223A (en) * | 2013-03-14 | 2014-09-17 | 株式会社百利达 | Motor function evaluation device and motor function evaluation method |
| CN104346518A (en) * | 2014-04-29 | 2015-02-11 | 奥美之路(北京)技术顾问有限公司 | Chinese population static balance capability assessment model |
| CN104834831A (en) * | 2015-04-08 | 2015-08-12 | 北京工业大学 | Consistency model building method based on 3-dimensional quantitative structure-activity relationship model |
-
2017
- 2017-04-12 CN CN201710237098.6A patent/CN107145716A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101866386A (en) * | 2010-06-25 | 2010-10-20 | 杭州维肖软件科技有限公司 | Flexible body bump processing method based on energy balance |
| CN104042223A (en) * | 2013-03-14 | 2014-09-17 | 株式会社百利达 | Motor function evaluation device and motor function evaluation method |
| CN104346518A (en) * | 2014-04-29 | 2015-02-11 | 奥美之路(北京)技术顾问有限公司 | Chinese population static balance capability assessment model |
| CN104834831A (en) * | 2015-04-08 | 2015-08-12 | 北京工业大学 | Consistency model building method based on 3-dimensional quantitative structure-activity relationship model |
Non-Patent Citations (3)
| Title |
|---|
| YOSHINORI NAGASAWA等: "Provisional norm and age group differences of controlled force exertion measurements by a computing sinusoidal target-pursuit system in Japanese male adults", 《HUMAN PERFORMANCE MEASUREMENT》 * |
| 万月红: "悬吊训练对散打运动员身体素质的影响", 《福建体育科技》 * |
| 刘耀荣: "瑞士球为中心的组合力量训练与传统阻力训练对人体平衡能力作用的比较", 《中国体育科学学会运动训练学分会第六届全国田径运动发展研究成果交流会论文集》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109829664A (en) * | 2019-04-12 | 2019-05-31 | 深圳市一起去赛网络技术有限公司 | A kind of method and system of young people sports public service performance quantization assessment |
| CN110379516A (en) * | 2019-07-24 | 2019-10-25 | 国网山东省电力公司鲁能体育文化分公司 | A kind of motion function based on big data analyzes the construction method of sick and wounded risk probability prediction nonlinear model |
| CN110379516B (en) * | 2019-07-24 | 2023-01-10 | 国网山东省电力公司鲁能体育文化分公司 | Construction method of motor function analysis injury risk probability prediction nonlinear model based on big data |
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Application publication date: 20170908 |