Rating of physical activity based on digital data of wearable devices

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PhD A.A. Kovalev
Immanuel Kant Baltic Federal University, Kaliningrad

Objective of the study was to substantiate the technology for rationing physical activity based on digital data from wearable devices.
Methods and structure of the study. A technology for normalizing physical activity based on digital data of minute heart rate is proposed. Using information about the totality of indicators of a student’s daily physical activity, his personalized physical activity standards are determined. Since the daily data used is non-Gaussian type data, rank analysis is applied to it.
Results and conclusions. Technology consists of the stages of collecting, processing and presenting information. Data is collected using a smartwatch during minute-by-minute daily heart rate measurements, which are then entered into a database. At the data processing stage, the tasks of rank analysis are performed: ranking and approximation of experimental daily minute-by-minute heart rate indicators. Finally, to determine the training potential, personalized values of physical activity norms are determined depending on the level of training. The technology for rationing physical activity allows, based on personalized standards of physical activity, to determine and select the necessary exercises by the trainer or the practitioner themselves.

Keywords: health-improving physical culture, rationing of physical activity, pulse, heart rate, wearable devices.

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