COMPUTER DIAGNOSTICS OF GENETICALLY DETERMINED ABILITIES TO PRACTICE CERTAIN KIND OF SPORT ON THE BASIS OF ANALYSIS OF FINGER DERMATOGLYPHICS FEATURES
UDC 575.116:004.42:796.08
DOI:
The method of computer diagnostics of genetically determined abilities to practice certain kind of sport based on the study of dermatoglyphic fingerprints using the program “Sports specialization of athletes based on features of finger dermatoglyphics” (reg. Number: 2018614779)is described in article. The program was developed by the authors and is based on algorithms created as a result of the analysis of the work of Russian specialists studying the characteristics of dermatoglyphic patterns of athletes. According to the results of computer diagnostics, it is possible to identify people with genetically determined abilities to practice certain sports (for boys - football, volleyball, basketball, rowing and speed skating; for girls - swimming, skiing, aerobics, rhythmic gymnastics, taekwondo and fencing), allowing them to achieve significant success in their kind of sport. Testing is carried out on the basis of analysis of easily determined dermatoglyphic characteristics (dermatoglyphic phenotype, total delta index and total ridge score). The use of computer diagnostics can significantly improve the efficiency of selection to sports facilities and the effectiveness of the trainer’s work. The method is not invasive, safe, does not require special education, significant investment of time and money, has no age limit and can be used in children. This is significant advantage of the method, because in order to achieve high sports results it is necessary to start training at an early age
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Keywords: program, dermatoglyphics, sport, specialization, delta index, crest count, pattern
For citation: Radchenko E.N. Kalaev V.N. Preobrazhensky A.P. Strakhov D.E. L'vovich I.Y. Popova I.E. Syseev A.V. COMPUTER DIAGNOSTICS OF GENETICALLY DETERMINED ABILITIES TO PRACTICE CERTAIN KIND OF SPORT ON THE BASIS OF ANALYSIS OF FINGER DERMATOGLYPHICS FEATURES. Modeling, Optimization and Information Technology. 2018;6(3). Available from: https://moit.vivt.ru/wp-content/uploads/2018/07/RadchenkoSoavtori_3_18_1.pdf DOI: (In Russ).