Abstract

This chapter presents variant maps for showing potential features in ECG data sets. The variant map is a visualization method different from a traditional ECG. In this chapter, the ECG data sets obtained by clinical ECG monitoring are used as the data source, and the corresponding variant maps are obtained by the variant statistics method. This chapter mainly introduces the variant statistics method about converting ECG data into variant maps. From sample results, various visual properties can be observed, and further explorations are required.

Highlights

  • Today, people still are in a state of high cardiovascular disease incidence

  • The results of this study show that the variant maps provide a new observation angle for ECG signal feature detection, and it shows the resolution of ECG data in visual effect

  • This chapter is closely related to the measurement model, processing method, and variant maps to study ECG signals

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Summary

Introduction

People still are in a state of high cardiovascular disease incidence. The world is paying attention to cardiovascular diseases [1], mainly relying on the detection of ECG signals to promote the research of cardiovascular diseases. Among the emerging ECG signal research methods, the most typical representative is the ECG scatter plot [8–10]. The variant method can process massive random sequences and extract statistical measurement features from them. It is a good fit to apply the variant method to the statistical measurement characteristics of massive ECG sequences. This chapter introduces the overall architecture, module function, and core algorithm of the variant measurement system. The results of this study show that the variant maps provide a new observation angle for ECG signal feature detection, and it shows the resolution of ECG data in visual effect. The third part introduces core module function and algorithm and summarizes the research

Overall structure
Workflow chart
Variant processing module
Data discretization submodule
Variant processing submodule
Segmented measurement module
Variant state statistics module
Variant conversion statistics
Data source description ECG data samples from the First People’s Hospital of
Summary
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