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AMSAT-method of health evaluation for sportsmen as a way of training system improvement

Anatoly Tkachuk

ANNOTATION


One ancient philosopher said: “Everything greatness is simple.” Traffic lights is striking example of something that is great and simple at once. Such great “traffic lights principle” was taken by developers of AMSAT – Automated medical system of therapy analysis.


AMSAT was developed on basis of:
- using eastern medicine principles of health support and longevity;
- translation of such “antiquity cyphers” in modern language of user-friendly technologies;
- filling of data base about parameters of different human activities in different environment.


Continuous improvement of AMSAT hardware and software gives an opportunity to receive more and more accurate information on human organs and systems. Beside of AMSAT popularity it has almost no applications in highest sport.
In Russian State University of physical education (Moscow) we got encouraging results of AMSAT usage for sportsmen health evaluation and improvement of their training system.

 

INTRODUCTION


One of problems of sport is that coaches don’t know exactly when they should stop increasing training load. It causes injures very often. In most cases the problem can be solved with accurate information on state of sportsmen health.


Like traffic lights make road traffic safer, AMSAT can make safer a way to Olympic medals. But there are just initial steps to adopt this medical diagnostic tool for sport applications.


For such reasons we investigated opportunities of appliance AMSAT data with different types of training load. In addition to that we were trying some exposures like flavoring (with tonic or relaxing effects), superweak electromagnetic fields, allowable pharmacological actions, etc.


METHODS


Our studies take place at Scientific and Technical Centre of Research Practice of Russian State University of physical education, sport and tourism.


Tools we use:
1. AMSAT – Automated medical system of therapy analysis.
2. Concept2 Indoor Rower ergometer.
3. POLAR S810i Heart rate monitor.


AMSAT. The device evaluates human organism conditions (11 organs and systems) by electroskin resistance between 22 active points on 2 body meridians. AMSAT evaluate functionality of each organ and system according to deviation from normal to hyper- or hypofunctional values. It is visualized as color “phantoms”:


- integral analysis;
- skeletal-topical analysis (spinal column);
- viscerotomical analysis (organs);
- systems histogram.


Using POLAR S810i Heart rate monitor we estimate changes of heart rate, R-R intervals and appearance of extasystoles at different types of training load.
Concept2 Indoor Rower ergometer we use for testing workouts.

 

TESTING


Before rowing we registered initial organism conditions on AMSAT.


Then sportsmen made workout on Concept2:
- 3-5 times of 3 minutes with 150, 200, 250, etc. watts;
- When heart rate become lower than 120 bpm we made one more registration on AMSAT;
- 30-45 minutes of rest while we make exposures (flavoring, superweak electromagnetic fields or allowable pharmacological actions);
- Repeating of series of 3 minutes rowing with increasing watts from 150 to maximum possible;
- One more registration on AMSAT.

 

Beside of that we use AMSAT on real rowing competitions before and after races to check influence some allowable exposures on competition result.

 

 

RESULTS


Correlation indexes (test-criteria and test-test) of twice testing of rowers (n=7) is shown in the Tab.1 and Fig.1, 2. According to this data the most reliable indexes are “balance of systems” (common index of coincidence with physiological optimum) and “heart rate worth of physical action”.


In our investigation we were trying to answer the question of how to apply the medical diagnostic tool for sport practice. We use AMSAT like a doctor use it for estimate adequacy of therapy, but with the difference that we estimated adequacy of training. Here are some examples.


On rowing competition we registered on AMSAT a rower that competed in light-weight singles and had had two races (with interval of 4 hours). There is his state on Fig.3 after 30 minutes from the first race. His result was limited by legs muscles which were in hypofunctional, when almost the other systems were at physiological optimum.


The second race wasn’t so intense for him. That may be seen on Fig.4 (AMSAT data after 30 minutes from the race). There 15 systems at physiological optimum, tiredness (hypofunction) of legs muscles and joints decreased from 70% to 40%. The most reliable index – “balance of systems” increased from 0,7% (after first race) to 25,2%.


There was the example of ascertaining experience, but we also made some investigations that were connected with allowable exposures on rowers during competitions.


On the same competitions we estimate a pair of rowers. They had a very hard race in semifinals, but according to AMSAT data it isn’t obvious (Figs. 7, 8). Their indexes weren’t significantly different from that had been before the race
(Figs. 5, 6).


Before the final race they both took recovery exposures and after two hours after the first race they were in optimal conditions (Figs. 9, 10). But one of them unexpectedly injured his waist while he was floating the boat. After the final race he show worse results as he had to row with pain in the waist, but his partner save his conditions (Figs. 11, 12).

 

CONCLUSION


1. Not investigator, nor coach, nor sportsman can as quick as AMSAT receive information on human health conditions, on their change during and after workouts, on effects from pharmacological actions and so on.
2. AMSAT-method will able to become the main tool of individualized improvement of training system.
3. Experience of AMSAT usage shows that sportsmen accept this tool with trust and enthusiasm because it gives information that coincides with their own sensations.


 

  ЧСС Эфф. Баланс ПСР Wотн Wпред
после 1-й нагр. 178 38.2 30.3 8.4 2.7 250.00
177 41.3 36.0 8.5 2.6 250.00
188 49.0 33.7 9.6 3.6 300.00
192 39.8 32.0 9.4 4.0 300.00
175 32.1 26.8 8.6 2.9 250.00
175 40.0 30.0 13.7 4.1 400.00
184 62.1 -28.3 11.4 4.0 350.00
r ТК1 0.09 0.45 -0.39 0.98 0.87  
r ТК2 0.44 0.22 0.48 0.99 0.92  
после 2-й нагр. 188 45.1 24.5 9.6 3.2 300.00
185 50.9 34.3 9.7 3.0 300.00
190 46.0 30.0 9.5 3.6 300.00
192 37.7 32.4 9.2 4.0 300.00
182 26.5 15.8 8.2 2.9 250.00
191 41.6 39.9 15.7 5.2 500.00
178 40.1 -4.5 10.1 3.5 300.00
r T1-T2 0.29 0.32 0.89 0.89 0.77 0.80

 

  Эфф. Баланс
Исх. сост.1 24.4 18
56.1 54.8
19.6 18.8
18.4 -0.8
14.1 11.8
54.2 50.6
38.7 26.8
     
   
Исх. сост.2 23.4 -5.4
25.7 24.5
24.2 18.3
18.7 -4.3
7.7 6.9
49.9 -22.1
44.7 -39.3
  0.72 0.02

 

рис. 1

Коэф. информативности показателей по критерию мощности

рис. 2

Коэф. надежности между Тест1 и Тест2

 

рис.3

 

рис. 4

 

рис. 5

 

рис.6

 

рис.7

 

рис.8

 

рис.9

 

рис.10

 

рис.11

 

рис.12