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OpenGL Data Visualization Cookbook

You're reading from   OpenGL Data Visualization Cookbook Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL

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Product type Paperback
Published in Aug 2015
Publisher Packt
ISBN-13 9781782169727
Length 298 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with OpenGL FREE CHAPTER 2. OpenGL Primitives and 2D Data Visualization 3. Interactive 3D Data Visualization 4. Rendering 2D Images and Videos with Texture Mapping 5. Rendering of Point Cloud Data for 3D Range-sensing Cameras 6. Rendering Stereoscopic 3D Models using OpenGL 7. An Introduction to Real-time Graphics Rendering on a Mobile Platform using OpenGL ES 3.0 8. Interactive Real-time Data Visualization on Mobile Devices 9. Augmented Reality-based Visualization on Mobile or Wearable Platforms Index

Real-time visualization of time series

In this section, we further demonstrate the versatility of our framework to plot general time series data for biomedical applications. In particular, we will display an ECG in real time. As a brief introduction, an ECG is a very commonly used diagnostic and monitoring tool to detect abnormalities in the heart. ECG surface recording essentially probes the electrical activities of the heart. For example, the biggest spike (called a QRS complex) typically corresponds to the depolarization of the ventricles of the heart (the highly muscular chambers of the heart that pump blood). A careful analysis of the ECG can be a very powerful, noninvasive method for distinguishing many heart diseases clinically, including many forms of arrhythmia and heart attacks.

Getting ready

We begin by importing a computer-generated ECG data stream. The ECG data stream is stored in data_ecg.h (only a small portion of the data stream is provided here):

float data_ecg[]={0.396568808f...
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