How breathing rate can add context to health monitoring

Breathing rate is a useful addition to the physiological data available in digital health applications. It changes in response to physical activity, stress, relaxation, and other everyday factors, making it relevant to wellness monitoring, recovery tracking, and remote health check-ins. Yet breathing rate is often overlooked in digital products because measuring it traditionally requires manual observation or dedicated equipment.

Camera-based measurement offers another option. With Shen AI, users can measure their breathing rate through a 30-second face scan using a smartphone, tablet, or computer camera. The measurement is collected alongside other physiological markers, including heart rate and heart rate variability (HRV), without requiring a separate device or wearable.

For app developers, this creates an opportunity to make breathing rate part of existing health monitoring and wellness experiences.

What breathing rate adds to health monitoring

Breathing rate provides information that heart rate alone cannot capture. BR adds another perspective on the body's current physiological state.

For example, a change in breathing rate may coincide with physical exertion, increased stress, or a relaxation response. When viewed alongside heart rate and HRV, it can help provide more context about changes in a user's physiological measurements.

This makes BR useful as part of a broader monitoring experience. Instead of presenting each measurement separately, developers can bring related signals together to help users explore patterns in their data.

From individual readings to personal trends

A single breathing rate measurement captures a moment. Repeated measurements can show how that moment compares with a user's typical patterns.

For example, an app could help users:

• Compare their current BR with their personal baseline.
• See how breathing rate changes throughout a training or recovery routine.
• Explore how measurements relate to sleep, activity, or self-reported stress.
• Review changes in BR alongside heart rate and HRV over time.

Personal baselines are particularly useful because breathing rates vary between individuals. Showing a user how their current measurement compares with their own history can provide more relevant context than relying on a general reference range alone.

What developers can build with BR

Breathing rate can support several product experiences, depending on the application's purpose and the other data available.

Breathwork and relaxation
A scan before and after a breathing exercise can show how a user's breathing rate changed during the session. This gives users measurable feedback on their practice rather than relying only on subjective impressions.

Recovery tracking
Fitness and wellness apps can include BR in post-workout or morning check-ins. Combined with heart rate and HRV, it adds another data point for exploring how the body responds to activity and rest.

Wellness monitoring
Apps can display breathing rate trends alongside sleep, activity, and user-reported information. This helps users explore connections between their daily habits and physiological measurements.

Remote health check-ins
Telehealth and remote care applications can incorporate breathing rate into pre-consultation questionnaires or measurement workflows. It can provide an additional data point for review by a healthcare professional, alongside symptoms and other available information.

Making breathing rate part of the app experience

The value of BR depends not only on collecting the measurement, but also on how it fits into the product.

Rather than displaying breaths per minute as an isolated number, developers can make it part of existing dashboards, daily check-ins, and longitudinal tracking features. For example, an app could show the latest reading alongside a personal baseline, visualize changes over the past week, or compare BR before and after a guided breathing session.

It is also worth connecting the measurement to a clear user action. A breathing rate check could be offered before a relaxation exercise, included in a morning wellness routine, or added to a remote consultation workflow.

Camera-based measurement makes these experiences possible without requiring users to own or wear additional hardware. Because the same scan can provide multiple physiological measurements, developers can incorporate BR into a broader monitoring experience without creating a separate measurement flow.

Building more informative health experiences

Breathing rate is most useful when it adds context to other physiological measurements and helps users understand changes over time. For digital health developers, it can support practical features such as breathwork feedback, recovery tracking, wellness check-ins, and remote monitoring workflows.

With camera-based measurement, these features can be integrated into an existing application without asking users to purchase additional devices.

Want to explore camera-based breathing rate measurement? Scan yourself or start a free trial to see how Shen AI can fit into your application.

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