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JOURNALS // Vestnik Yuzhno-Ural'skogo Gosudarstvennogo Universiteta. Seriya "Vychislitelnaya Matematika i Informatika" // Archive

Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2013 Volume 2, Issue 1, Pages 44–54 (Mi vyurv72)

This article is cited in 1 paper

Computer Science, Engineering and Control

Physiological data mining system for elite sports

V. V. Epishev, A. P. Isaev, R. M. Miniakhmetov, A. V. Movchan, A. S. Smirnov, L. B. Sokolinsky, M. L. Zymbler, V. V. Ehrlich

South Ural State University (Chelyabinsk, Russian Federation)

Abstract: The paper presents the architecture of MedMining system, which is designed for mining physiological studies of sportsmen. The system provides export of measurements to data warehouse. Storing of raw measurements (coming directly from the devices) and their processed analogues (obtained by averaging, approximation or other integrating operations on the processed data) is supported. Mining of measurements aims to discovering of key performance indicators and performance training techniques, as well as to searching trends and anomalies in these indicators for a flexible changes of training schedule.

Keywords: data mining, data warehouse, physiological research, elite sports.

UDC: 004.891.3

Received: 01.12.2012

DOI: 10.14529/cmse130105



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