ViewECG Web
ViewECG Web
ViewECG Web Details

The New HTML5-based Online Viewer Tool for ECG Traces

Introducing ViewECG Web! AMPS growing list of software tools now includes ViewECG Web - a JavaScript library designed for fully-customizable display of digital ECGs viewed by your HTML5 web browser. Our new software tool leverages the ease of the Internet to deliver a display of ECGs.

With ViewECG Web, you can customize the display of digital ECGs enabling the end-user to interact with the rendered digital ECG. The dynamics of this tool are perfect to support standard healthcare industries, plus the pharmaceutical industry.

ViewECG Web is a fully adaptable web browser ECG viewer based on the HTML 5 standard. Our new display solution supports these browser/operating systems:

  • Google Chrome for Windows
  • Google Chrome for Android
  • Firefox for Windows
  • Microsoft Internet Explorer 10+
  • and EDGE for Windows


This ECG Web Viewer can support inputs in the AMPS binary file format, and allows the visualization of both: 10s Rhythm strip and Representative Beats.


The Viewer supports the display of both 10s Rhythm strip and Representative Beats and brings to users the possibility to render the ECG waveforms entirely. ViewECG Web also has the ability to display ECG waveforms in the various standard layouts:

  • Rhythm 6x2
  • Rhythm 6x2 and Long Lead
  • Rhythm 3x4
  • Rhythm 3x4 and Long Lead
  • Rhythm Superimposed
  • Representative Beat 6x2
  • Representative Beat 6x2 and Superimposed
  • Representative Beat 3x4
  • Representative Beat 3x4 and Superimposed
  • Representative Beat Superimposed


Users can filter the waveform and the application permits a real-time measurement of both time and amplitude annotations using the digital caliper.


ViewECG Web supports both ECG annotations from input ECG file and ECG annotations passed through the API (Application Programming Interfaces) from the client application.

With this set of APIs the can customize ECG visualization, to control:

  • ECG layout
  • Paper speed
  • Number of leads
  • Scrolling
  • Zooming


Annotations embedded in the input ECG file can also be displayed and the ECG waveforms can be filtered.