title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÐºÐ¾Ð¿Ð¸Ð¸ ÑÐ½ÐµÑÐ³Ð¾Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð¼ÑÑÐµÑÐ½Ð¾Ð¹ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ¿Ð¾ÑÑÑÐ¼ÐµÐ½Ð° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of a model of a digital twin of the energy supply of an athlete's muscular activity using AI methods
Creators: name: ÐÐ°Ð²Ð»Ð¾Ð², ÐÐ²Ð³ÐµÐ½Ð¸Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð¿Ð¾ÑÐ¾Ð³ Ð°Ð½Ð°ÑÑÐ¾Ð±Ð½Ð¾Ð³Ð¾ Ð¾Ð±Ð¼ÐµÐ½Ð°
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð´Ð°Ð½Ð½ÑÑ
threshold heart rate
machine learning
data analysis
data processing

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÐºÐ¾Ð¿Ð¸Ð¸ ÑÐ½ÐµÑÐ³Ð¾Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð¼ÑÑÐµÑÐ½Ð¾Ð¹ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ¿Ð¾ÑÑÑÐ¼ÐµÐ½Ð° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ°Â».
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1) ÐÐ·ÑÑÐµÐ½Ñ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÐ¾Ð³Ð° Ð°Ð½Ð°ÑÑÐ¾Ð±Ð½Ð¾Ð³Ð¾ Ð¾Ð±Ð¼ÐµÐ½Ð°
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4) ÐÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¿ÑÐµÐ´ÑÐºÐ°Ð·Ð°Ð½Ð¸Ñ
Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð±ÑÐ»Ð¾ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÐ¾Ð³Ð° Ð°Ð½Ð°ÑÑÐ¾Ð±Ð½Ð¾Ð³Ð¾ Ð¾Ð±Ð¼ÐµÐ½Ð° Ñ ÑÐ¿Ð¾ÑÑÑÐ¼ÐµÐ½Ð¾Ð² ÑÐ¸ÐºÐ»Ð¸ÑÐµÑÐºÐ¸Ñ Ð²Ð¸Ð´Ð¾Ð² ÑÐ¿Ð¾ÑÑÐ°. ÐÑÐ¾Ð²ÐµÐ´ÑÐ½ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹. Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð° ÑÐ¸ÑÑÐµÐ¼Ð° Ð¿Ð¾ Ð¿ÑÐµÐ´ÑÐºÐ°Ð·Ð°Ð½Ð¸Ñ Ð¿Ð¾ÑÐ¾Ð³Ð° Ð°Ð½Ð°ÑÑÐ¾Ð±Ð½Ð¾Ð³Ð¾ Ð¾Ð±Ð¼ÐµÐ½Ð° Ð¸ Ð¸Ð½ÑÐµÑÐ¿ÑÐµÑÐ°ÑÐ¸Ð¸ Ð¿ÑÐµÐ´ÑÐºÐ°Ð·Ð°Ð½Ð¸Ð¹ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼ÐµÑÐ¾Ð´Ð° Lime.
description: The topic of the final qualifying work: "Development of a model of a digital copy of the energy supply of an athlete's muscular activity using artificial intelligence methods".
This work is devoted to the study of energy supply of muscular activity of an athlete, in particular, determining the threshold of anaerobic metabolism in athletes in cyclic sports. Tasks that were solved in the course of the study:
1) the peculiarities of determining the threshold of anaerobic metabolism were Studied
2) the existing solutions in the field of building models of the human body, in particular, methods for determining the threshold of anaerobic metabolism are Considered
3) Choosing the optimal machine learning method for determining the anaerobic exchange threshold
4) Interpretation of prediction results
As a result, a study was conducted on the possibility of using machine learning algorithms to determine the threshold of anaerobic metabolism in cyclical sports athletes. A comparative analysis of existing solutions is carried out. A system for predicting the threshold of anaerobic metabolism and interpreting predictions using the Lime method is implemented.