CC BY
18
DOI: 10.14529/hsm18s02
EFFECT OF POSTURAL BALANCE ON CHANGES
IN THE ELECTROCARDIOGRAPHY PARAMETERS OF WRESTLERS
V.V. Erlikh1, [email protected], ORCID: 0000-0003-4416-1925, Yu.B. Korableva1, [email protected], ORCID: 0000-0003-2337-3531, V.V. Epishev1, [email protected], ORCID: 0000-0002-7284-7388, O. Polyakova2, [email protected], ORCID: 0000-0002-6947-2394
1South Ural State University, Chelyabinsk, Russian Federation, 2Sheffield Hallam University, Sheffield, UK, United Kingdom
Aim. The article deals with forecasting electrocardiogram changes (ECG) in athletes using stabilometric parameters. Materials and methods. 77 elite athletes aged 16-18 participated in the study (Candidate for Master of Sport, Master of sport: judo, taekwondo). To reveal cardiac conductivity disturbances and heart rhythm disorders, we used veloergometry. To assess postural balance, we used stabilometric equipment. Results. We registered incomplete right bundle branch block (IRBBB) in 5 athletes (22.72 %), extrasystoles - in 10 athletes (45.45 %), early repolarization syndrome (ERS) - in 3 athletes (13.63 %), sinoatrial block (SB) - in 2 athletes (9.09 %), pacemaker migration - in 2 athletes (9.09 %). The standard deviation of center of pressure (CoP) in the frontal plane in athletes with ECG changes in the natural standing position exceeded values of athletes without ECG changes by 94.93 % with the eyes opened; by 121.09 % with the head turned to the left; by 71.05 % with the head turned to the left and the eyes closed; by 61.98 % with the head turned to the right. We built a mathematical model. Conclusion. We studied the peculiarities of ECG changes in athletes. The parameters of stabilometry in athletes both with and without ECG changes were statistically significant (p < 0.05). With the help of stabilometric data, we created Random Forest model for forecasting possible ECG changes such as cardiac conductivity disturbances and heart rhythm disorders.
Keywords: postural balance, wrestlers, electrocardiogram, rhythm disorders, cardiac disturbances, forecasting.
Introduction. The importance of this problem is explained by the significant increase of heart rhythm disorders in athletes [9, 12]. Changes in postural balance can be one of the reasons for rhythm disorders and cardiac conductivity disturbances in athletes. The postural disbalance of the muscular system can lead to the malfunction of vegetative structures [6]. According to the concept of visceral motor reflex connections, muscular and skeletal changes depend on non-specific brain structures [3, 5]. There are almost no data, establishing connections between postural balance under physical loads and the development of locomotor system disorders in athletes or parallel pathologies in the heart and vegetative nervous system [11, 14-16].
Materials and methods. The study was conducted at the premises of SUSU Scientific and Research Center for Sports Science. 77 elite athletes aged 16-18 participated in the study during the recovery stage (Candidate for Master of Sport, Master of Sport: judo, taekwondo). To reveal cardiac conductivity disturbances and heart rhythm disorders, we used exercise tole-
rance (SCHILLER AT-104) test according to the Bruce protocol 50/25 and PWCi70 test [1]. We studied postural balance with the help of MBN Stabilo stabilometric system. We also used the system of assessment, which consists of 6 tests: head turns to the right and to the left with the eyes opened and closed [7]. We performed the statistical processing of the data obtained using Statistica V.10.0. software and R programming language.
Results. We registered incomplete right
bundle branch block (IRBBB) in 5 athletes (22.72 %), which proves the dominance of the parasympathetic nervous system. During exercise tolerance test, we revealed extrasystoles in 10 athletes (45.45 %), which is possibly connected with the increase of the tone of the sympathetic nervous system. Early repolarization syndrome (ERS) was registered in 3 athletes (13.63 %) as a result of the increased tone of vagus nerve activity. We found sinoatrial block (SB) in 2 athletes (9.09 %). This can be the result of vegetative influences connected with the increased tone of the vagus nerve. We also registered pacemaker
migration in 2 athletes (9.09 %) as a result of the increased effect of the parasympathetic nervous system on the heart [2]. Therefore, among wrestlers, there is a predominance of athletes with the parasympathetic regulation of heart rhythm (54.53 % compared to 45.45 %).
During the processing of the stabilometric data obtained, we divided athletes into 2 groups: athletes without ECG changes - ECGnorm (n = 55), athletes with ECG changes - ECGchange (n = 22).
Table 1 demonstrates the stabilometric parameters of postural balance in the groups studied.
As follows from Table 1, the standard deviation of center of pressure (CoP) in the frontal plane in ECGchange athletes exceeded values of ECGnorm athletes by 94.93 % with the eyes opened; by 121.09 % with the head turned to the left; by 71.05 % with the head turned to the left and the eyes closed; by 61.98 % with the head turned to the right and the eyes closed. Moreover, we registered a predominance of slow highamplitude oscillations (0.40 Hz) in ECGchange athletes in comparison with medium-amplitude oscillations (0.51 Hz) in ECGnorm athletes.
According to P.M. Gagey, oscillations of 0.40 Hz are represented by basic movements of center of pressure and adjusting movements and can be consciously controlled. Oscillations at 0.51 Hz are the result of muscle contractions, which are less subjected to conscious control. This means that, normally, the brain controls them automatically [12].
The sum of higher oscillations of center of pressure and their frequency characteristics
is possibly connected with compensatory postural balance. The disturbances of tonic neck reflexes and cervical plexus innervation can lead to the disturbance of cerebral circulation and, thus, affect a vestibular function [11]. There is a possibility for further changes in the cardiac plexus as the nerve of the anterior mediastinum participates in the formation of a superficial cardiac-aortic plexus. This nerve provides the pericardium and heart with its fibers, provoking ECG changes [7].
In ECGnorm athletes the ratio of the length of the ellipse to its width was higher by 28.47 % than in ECGchange athletes. Moreover, ECGnorm athletes possessed better values of LFS90 (l/mm) in natural standing position with the eyes opened (56.48 % higher in comparison with ECGchange athletes) and with the head turned to the left (34.10 % higher). This means that in ECGnorm athletes there is a predominance of the stabilization of center of mass in the sagittal plane, which is responsible for the ankle strategy. In ECGchange athletes, there is a predominance of the stabilization of center of mass in the frontal plane, which is responsible for the hip strategy [8]. During the ankle strategy, calf muscles, especially the so-leus, contract and compress the thin-walled veins, thereby helping the blood to return to the heart. This mechanism works due to small venous valves, which resist gravity and ensure blood circulation only to the heart [4]. Some authors characterize the soleus as 'the second heart' [15].
In case of the hip strategy there is an increase in the static tension of calf muscles, which results in the mechanical compression of vessels
Table 1
Stabilometric parameters in wrestlers (M ± m)
Parameters go lgo rgo gz lgz rgz g° lgo rgo gz lgz rgz
Without ECG changes (1) With ECG changes (0)
X (mm) 5,53± 6,40± 9,15± 10,42± 9,12± 11,26± 10,78± 14,05± 15,45± 14,07± 15,60± 18,24±
0,95* 0,83* 1,17 2,55 1,49* 1,78* 1,24* 3,91* 3,77 1,65 2,66* 2,58*
xf60 % 0,51± 0,56± 0,47± 0,42± 0,42± 0,47± 0,40± 0,43± 0,41± 0,36± 0,34± 0,37±
(Hz) 0,05* 0,10 0,03 0,03 0,04 0,06 0,05* 0,03 0,04 0,04 0,03 0,03
LeWe 1,91± 1,71± 1,64± 1,91± 1,62± 1,85± 1,62± 1,67± 1,59± 1,65± 1,50± 1,44±
(u) 0,09 0,07 0,14 0,18 0,08 0,12* 0,08 0,21 0,09 0,16 0,07 0,07*
LFS 90, 6,40± 6,56± 6,31± 5,55± 5,82± 5,17± 4,09± 5,04± 4,42± 4,39± 4,34± 4,28±
1/mm 0,50* 0,45 0,57 0,44 0,47* 0,40 0,29* 0,45 037 0,41 0,41* 0,34
Note. X (mm) - standard deviation of center of pressure (CoP) in the frontal plane; xf60 % (Hz) - 60 % of spectrum power in the frontal plane; LeWe (u) - ratio of the length of the ellipse to its width; LFS90, 1/mm - ratio of the length of statokinesiogram to its S; go - natural standing position with the eyes opened; lgo - head turned to the left; rgo - head turned to the right; gz - natural standing position with the eyes closed; lgz - head turned to the left with the eyes closed; rgz - head turned to the right with the eyes closed; *statistically significant values p < 0.05.
Влияние постурального баланса на изменение электрокардиографических показателей единоборцев
Эрлих В.В., Кораблева Ю.Б., Епишев В.В., Полякова О.
and impaired venous return [10]. Due to the lower involvement of calf muscles in maintaining center of pressure, the load is shifted to the front muscles of the thigh and core muscles, decreasing the efficiency of extracardiac circulation factors [13].
We built Random Forest model for wrestlers to forecast ECG changes using stabilo-metric parameters. The accuracy of the model allows us to register significant differences between samples, which can be used for forecasting (athletes with ECG changes/ athletes without ECG changes).
Figure 1 demonstrates the significance of sta-bilometric variables. To the left, there is a graph, explaining the contribution of a variable to the accuracy of the model. To the right, there is the graph of the purity of a branch without variable. The higher the variable, the more important it is for the model.
Figure 1 demonstrates that there are significant differences between the wrestlers of the samples studied. These differences allow us to forecast the result (rank). The distribution of differences is the following: Xgo; LFS90go; xf60go; Xrgz; LFS90lgz; Xlgo; Xlgz.
Table 2 demonstrates differences in stabilo-metric parameters in ECGnorm and ECGChange athletes.
When creating the model for wrestlers, we forecasted ECG changes using stabilometric parameters. This model allowed us to reveal 'ideal parameters', which should not be out of the following reference values: Xgo - 6.80; Xlgo -1.43; Xlgz - 0.05; Xrgz - -0.47; xf60go - 1.96; LeWergz - -0.12; LFS90go - 2.35; LFS90lgz --1.00.
Therefore, if stabilometric parameters are out of these reference values, athletes can demonstrate a specific postural balance. Such a postural balance, along with changes in myofascial structures, reflexively and segmentally connected with the cardiovascular system, results in ECG changes, namely cardiac conductivity disturbances and heart rhythm disorders.
Conclusion. In most cases, the heart rhythm disorders registered during the test were of a single character and did not change the initial ECG. This allows us to classify them as the functional variants of the sports norm. We revealed significant (p < 0.05) changes in stabilometric parameters. In athletes with ECG changes, we registered
Xgo
LFS90go
xfBOgo
Xrgz
LFS90fgz
LeWergz
Xlgo
Xlgz
-1-1-1-1
2 4 6 8
MeanDecreaseAccuracy
Xgo
LFS90go
Xlgo
Xlgz
LeWergz
Xrgz
LFS90lgz xf60go
—I-1-1-1-1-г
1 0 2.0 3.0 MeanDecreaseGini
Fig. 1. Significance of variables
Table 2
Variables of Random Forest model
Parameters ECGchanae FCG Mean Decrease Accuracy Mean Decrease Gini
Xgo 7.3550051 6.80071913 8.47698018 3.564279
Xlgo -0.2804205 1.43957532 0.61924602 2.649149
Xlgz 0.3999397 0.05910775 0.01395987 2.607115
Xrgz 3.8645389 -0.47590629 2.27676686 2.511368
xf60go 1.7124879 1.96296537 2.36550955 2.324428
LeWergz 1.5798716 -0.12561115 0.94311583 2.535156
LFS90go 2.3222030 2.35919410 2.87898890 2.909770
LFS90lgz 2.5251244 -1.00522250 1.34569507 2.371643
Note. Mean Decrease Accuracy - average accuracy of the model; Mean Decrease Gini - average decrease of Gini for this variable.
a decrease in the stability of the vertical position, misalignment of visual-motor and vestibular-motor connections, and an increase in the sensitivity of the proprioceptive apparatus. Using the results of stabilometry, we created a mathematical model, which allows us to predict ECG changes in wrestlers.
The article was supported by the government of the Russian Federation (Act No. 211 dd. 16.03.2013), Contract No. 02.A03.21.0011.
The study was performed as a part of the State Assignment of the Ministry of Education and Science of the Russian Federation (grant No. 19.9733.2017/EH).
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Received 30 November 2018
Эрлих В.В., Кораблева Ю.Б., Епишев В.В., Полякова О.
Влияние постурального баланса на изменение электрокардиографических показателей единоборцев
УДК 796.01:612 DOI: 10.14529/hsm18s02
ВЛИЯНИЕ ПОСТУРАЛЬНОГО БАЛАНСА НА ИЗМЕНЕНИЕ ЭЛЕКТРОКАРДИОГРАФИЧЕСКИХ ПОКАЗАТЕЛЕЙ ЕДИНОБОРЦЕВ
В.В. Эрлих1, Ю.Б. Кораблева1, В.В. Епишев1, О. Полякова2
1 Южно-Уральский государственный университет, г. Челябинск, Россия, 2Университет Шеффилда Халлама, г. Шеффилд, Великобритания
Цель исследования - прогнозирование изменений на электрокардиограмме (ЭКГ) спортсменов посредством стабилометрических показателей. Организация и методы исследования. Исследовали 77 элитных спортсмена (КСМ, МС: дзюдо, тхэквондо, возраст 16-18 лет). Для выявления нарушений ритма и проводимости применяли велоэргометрию, для оценки постурального баланса - стабилометрический комплекс. Результаты. Неполная блокада правой ножки пучка Гиса (НБПНПГ) наблюдалась у 5 спортсменов (22,72 %), экстрасистолы - у 10 (45,45 %), синдром ранней реполяризации (СРР) - у 3 (13,63 %), си-ноаурикулярная блокада (СА) - у двух (9,09 %), миграция водителя ритма - 2 (9,09 %). Среднеквадратическое отклонение общего центра давления (ОЦД) во фронтальной плоскости у спортсменов с изменениями на ЭКГ при основной стойке (О.С.) - глаза открыты (ГО) на 94,93 % превышало значения спортсменов без изменений на ЭКГ; при повороте головы влево - на 121,09 %; при повороте головы влево, глаза закрыты (ГЗ) - на 71,05 %; при повороте головы вправо (ГЗ) - на 61,98 %. Построена математическая модель. Заключение. Были рассмотрены особенности изменений электрокардиограммы спортсменов. Параметры стабилометрии атлетов с изменениями ЭКГ и без были достоверно значимы (p < 0,05). Построена модель Random Forest (RF - модель случайного леса) для прогнозирования возможных изменений ЭКГ спортсменов в виде нарушений ритма и проводимости посредством стабилометрических показателей.
Ключевые слова: постуральный баланс, единоборцы, электрокардиограмма, нарушения ритма, нарушения проводимости, прогнозирование.
Литература
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Эрлих Вадим Викторович, директор института спорта, туризма и сервиса, Южно-Уральский государственный университет. 454080, г. Челябинск, проспект Ленина, 76. E-mail: [email protected], ORCID: 0000-0003-4416-1925.
Кораблева Юлия Борисовна, лаборант научно-исследовательского центра спортивной науки, преподаватель кафедры физического воспитания и здоровья института спорта, туризма и сервиса, Южно-Уральский государственный университет. 454080, г. Челябинск, проспект Ленина, 76. E-mail: [email protected], ORCID: 0000-0003-2337-3531.
Епишев Виталий Викторович, директор научно-исследовательского центра спортивной науки, доцент кафедры теории и методики физической культуры и спорта института спорта, туризма и сервиса, Южно-Уральский государственный университет. 454080, г. Челябинск, проспект Ленина, 76. E-mail: [email protected], ORCID: 0000-0002-7284-7388.
Полякова Ольга, руководитель курса «Спортивный бизнес и менеджмент» Факультета здоровья и благополучия, Университет Шеффилда Халлама. S1 1WB, Великобритания, г. Шеффилд, ул. Ховарда, 36. E-mail: [email protected], ORCID: 0000-0002-6947-2394.
Р. 726-732.
Поступила в редакцию 30 ноября 20Ï8 г.
ОБРАЗЕЦ ЦИТИРОВАНИЯ
FOR CITATION
Effect of Postural Balance on Changes in the Electrocardiography Parameters of Wrestlers / V.V. Erlikh, Yu.B. Korableva, V.V. Epishev, O. Polyakova // Человек. Спорт. Медицина. - 2018. - Т. 18, № S. - С. 13-18. DOI: 10.14529/hsm18s02
Erlikh V.V., Korableva Yu.B., Epishev V.V., Polyakova O. Effect of Postural Balance on Changes in the Electrocardiography Parameters of Wrestlers. Human. Sport. Medicine, 2018, vol. 18, no. S, pp. 13-18. DOI: 10.14529/hsm18s02
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