engleski

Exploratory data analysis of stream data in sports medicine domain

In statistics, exploratory data analysis (EDA) is an approach to analyzing datasets to summarize their main characteristics, often with visual methods. A statistical model may optionally be used, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis-testing task. In this paper, we focus on analyzing stream data for the sports medicine domain, collected with a Polar M400 sports watch, with the aim of predicting the heart rate that the athlete must sustain on each race segment in order to achieve the best overall result (finishing time). We first provide an overview of data analyzing models for stream data. Next, we present related work, our data, and preliminary insights from visualizations after data preprocessing. Finally, we conclude the paper with a summary and future work.

Data analysis, stream data, time-series data, sports medicine, heart rate

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