Building Real-Time ECG Monitoring Applications with .NET MAUI and Syncfusion Charts [Webinar Show Notes]

In this webinar, Senior Product Manager Shriram Sankaran demonstrated how to build a real-time ECG (electrocardiogram) monitoring application using .NET MAUI and Syncfusion Charts. Learn how to visualize live ECG data, manage continuous data streams, and create responsive user interfaces that perform smoothly across devices.

This webinar provided a complete walkthrough of creating and configuring a live chart application that simulates real ECG signals for healthcare apps. If you missed the webinar or would like to watch it again, the recording is uploaded to our YouTube channel and embedded in this blog.

Time stamps

• [00:00] Introduction
• [00:35] Agenda
• [01:14] Live demo overview
• [02:12] Prerequisites
• [02:37] Live demo
• [25:04] Conclusion and recap

ECG data and real-time visualization

The webinar began with an explanation of the fundamentals of ECG signals and how real-time data is represented as continuous voltage changes over time. Using this foundation, Shriram highlighted how the Syncfusion .NET MAUI Charts can efficiently render rapidly updating data streams without frame drops.

Building a .NET MAUI application for real-time data

The session covered setting up a .NET MAUI project that supports live data updates, including how to:

• Use observable collections to add data points dynamically.
• Handle continuous data streaming for live monitoring scenarios.
• Manage threading and data synchronization to ensure smooth updates.

Using Syncfusion Charts for live ECG monitoring

Shriram showed how to configure the Syncfusion Cartesian Charts to plot ECG waveforms.

Key features include:

• Efficient rendering for fast data updates.
• Customizable axes, line styles, and markers for clarity.
• Smooth animations that enhance real-time readability.
• Dynamic scaling to accommodate ongoing data flow.

Performance and optimization techniques

The presentation focused on maintaining application performance when dealing with high-frequency data inputs. Techniques included managing chart refresh rates, optimizing collection sizes, and leveraging the internal Syncfusion rendering engine for maximum responsiveness.

Demo of real-time ECG chart in action

During the live demo, Shriram built and ran a working real-time ECG chart, simulating a live heart rate feed. Viewers saw how Syncfusion Charts handle rapid updates without compromising performance or UI fluidity.

Integrating free and premium MAUI controls

Shriram concludes by discussing how to combine the free Syncfusion .NET MAUI Toolkit with its premium controls for a professional and interactive user experience.

Q&A

Q: How many points can be handled before there are serious performance issues?

A: The chart is optimized to handle up to 1 million data points while maintaining responsive performance. Although it supports rich customization features, some of these can impact rendering speed.

To achieve better performance, we recommend following a few key practices:

• Use fast-rendering series types.
• Enable automatic interval calculations.
• Minimize heavy customizations like complex data labels. Alternatives like trackballs can be more efficient.

Summary

This webinar helped developers learn how to build real-time, data-driven applications that feel modern and responsive. By combining .NET MAUI’s cross-platform capabilities with the high-performance charting tools in Essential Studio, developers can deliver powerful visualizations suited for healthcare, IoT, and analytics solutions.

Supercharge your cross-platform apps with Syncfusion's robust .NET MAUI controls.

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Related links

• Premium controls:
  • Product page
  • Documentation
• Free controls:
  • Product page
  • Documentation
• GitHub sample:
  • GitHub demo