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From big data mining to technical sport reports: the case of inertial measurement units.

Daniel Rojas-ValverdeCarlos D Gómez-CarmonaRandall Gutiérrez-VargasJose Pino-Ortega
Published in: BMJ open sport & exercise medicine (2019)
The inertial measurement units (IMU) are instruments used to quantify the external load of athletes; they are increasingly common in assessing team and individual sports. This type of instruments has several sensors, such as accelerometers, gyroscopes and magnetometers; this allows access to a large amount of information and analysis possibilities. Due to the complexity of synthesising this data, it is necessary to create a flow for collecting, analysing and presenting the collected data in a simple way and present it as quickly as possible to the technical staff. This report aims to present new methods of reduction of the data and propose a new approach method for the analysis of the IMU's outcomes.
Keyphrases
  • big data
  • artificial intelligence
  • machine learning
  • electronic health record
  • type diabetes
  • emergency department
  • metabolic syndrome
  • quality improvement
  • data analysis
  • adverse drug
  • glycemic control