24
Views
0
CrossRef citations to date
0
Altmetric
Articles

The Application of Bioresonance Diagnostics Using Electrical Stimulation of Meridian Systems in the Preparation of Wrestlers

, &
Pages 58-61 | Published online: 15 Aug 2016
 

ABSTRACT

Athletes are better at their sports today than they have ever been, and much of the improvement can be attributed to an increased focus on training and preparation. Every trainer wants his or her trainee to succeed among best. To achieve set objectives, the trainer raises expectations of the sportsman’s efforts in order to yield high results. However, can an athlete’s organism take psychological and physical loads, or does he or she have such potential that will unlock and release resources without harms to health and without resulting in psychological trauma? Operational control of the functional state of sportsmen is an integral part of the training process. Existing methods provide little information or control and can be time-consuming, which limits their widespread use in the sport. The authors aimed to study the use of complex parameters and adaptive capacity in the training cycles of training athletes. The purpose of this research includes estimating the psychophysiological state of wrestlers, by employing a software/hardware complex that uses electropuncture diagnostics and stimulation of biologically active points, which reveals latent pathology of body systems, and possible referral of the athlete to a doctor for more timely treatment. The authors describe their process and results, as well as give recommendations for improving athletes’’ health.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.