Abstract
The electrocardiogram (ECG) has become a standard tool to measure and record the electrical activities of the heart because of its low-cost and non-invasive characteristic. Applications running on smart phones or tablets have been widely used for collecting and processing ECG signals, with the prevalence and massive availability of health related mobile applications. However, these applications have the disadvantage of relative small mass storage and relative poor computing ability, especially in Human-Computer interaction user experience. To achieve rapid Heart Rate Variability (HRV) analysis based on big physiological data, a novel HRV analysis system has been developed based on LeanCloud cloud platform and web application. The cloud platform can store and process mass raw ECG signals. Computing intensive signal processing tasks were implemented in Python code. The HRV analysis results displayed on the web achieve good interactivity by using Echarts. The preliminary results demonstrate that this system have strong computing ability and good Human-Computer interaction user experience.
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