The Latest Breakthrough in HRV Data Collection: Garmin's Enhanced BBI on Labfront

The Latest Breakthrough in HRV Data Collection: Garmin's Enhanced BBI on Labfront

Discover Garmin's Enhanced Beat-to-Beat Interval (BBI) feature on Labfront, a significant update in wearable Heart Rate Variability (HRV) data collection. This technology offers near-EKG quality for understanding health conditions through continuous, non-intrusive monitoring. Garmin's advanced solution provides confidence intervals for precise heartbeat measurement, facilitating research in mental health, physical recovery, and daily health monitoring.

Mar 5, 2024
By The Labfront Team
garmin devices and enhanced bbi measurementgarmin devices and enhanced bbi measurement
garmin devices and enhanced bbi measurement
The Latest Breakthrough in HRV Data Collection: Garmin's Enhanced BBI on Labfront

The Latest Breakthrough in HRV Data Collection: Garmin's Enhanced BBI on Labfront

Discover Garmin's Enhanced Beat-to-Beat Interval (BBI) feature on Labfront, a significant update in wearable Heart Rate Variability (HRV) data collection. This technology offers near-EKG quality for understanding health conditions through continuous, non-intrusive monitoring. Garmin's advanced solution provides confidence intervals for precise heartbeat measurement, facilitating research in mental health, physical recovery, and daily health monitoring.

We’ve got an exciting update to share in wearable Heart Rate Variability (HRV) data collection – Garmin's Enhanced Beat-to-Beat Interval (BBI) feature is now available on the Labfront platform. This technology provides near-EKG (electrocardiogram) quality measurements critical for understanding various health conditions.

Understanding the Importance of BBI and HRV

Heart Rate Variability (HRV), the variation in the time interval between heartbeats, has become a key focus in health research. It offers a fascinating window into our physical and mental well-being, reflecting our body's ability to adapt to stress, exercise, illness, and more. The precision of HRV analysis hinges on accurately measuring the time between heartbeats, known as the Beat-to-Beat Interval (BBI).

Measuring BBI: PPG vs. EKG

Traditionally, BBI has been measured using electrocardiogram (EKG) methods with a chest strap (this is called RR-interval, since it looks at the R-peaks in the EKG waveform). However, the optical photoplethysmography (PPG) signal from wrist or arm-based wearables such as smartwatches offers a convenient alternative.

Key advantages of PPG include:

  • Continuous Monitoring: PPG allows for around-the-clock data collection, providing a more comprehensive view of HRV over time than EKG, which can miss out on the dynamic nature of HRV due to limited monitoring periods.
  • User Convenience: There is minimal user friction using PPG, as the devices are user-friendly and non-intrusive.

Garmin's Enhanced BBI leverages this technology for continuous, high-quality monitoring.

Garmin's Enhanced BBI: Accurate and Non-Intrusive

Garmin's Enhanced BBI brings a major improvement in measuring BBI with wearables. Using an advanced optical photoplethysmography (PPG) signal, it offers improved accuracy, especially during periods of low movement, such as sleep, when it can closely match the accuracy of an EKG.

Ensuring Quality Data with BBI Confidence Intervals

Garmin’s technology sets a new standard by providing a confidence interval for each heartbeat measurement. Researchers can now filter out unreliable data, leading to more accurate HRV analysis.

For instance, factors such as poor fit, insufficient blood perfusion, and motion artifacts are known to affect the PPG signal quality. Garmin's solution cleverly marks these instances as low confidence, ensuring that the measurements you rely on are of the highest quality.

In fact, when measured during sleep intervals (characterized by low movement and good blood perfusion), Garmin's Enhanced BBI closely approaches the accuracy of an EKG, provided the device is worn correctly.

Unlike legacy BBI that relied on extra filtering, Garmin's Enhanced BBI offers more control and flexibility, allowing you to compute any HRV metrics you desire.

A comparison between RRI (blue line), enhanced BBI, (red line), and legacy BBI (green line) during slow, deep breathing. The RRI was measured by Movesense ECG, and both the enhanced BBI and legacy BBI were measured by Garmin wearable PPG device. The black line indicates the confidence level of each beat of the enhanced BBI, with ONE for high confidence and ZERO for low confidence. 

HRV Analysis Made Convenient and Precise

The combination of Garmin's technology with Labfront's user-friendly platform simplifies the integration of advanced HRV analysis into research. It enables easy, precise measurement of this crucial health marker.

Wide-Ranging Applications: From Mental Health to Physical Recovery

The Enhanced BBI feature has various health research applications, such as:

  • Mental Health: Detecting early signs of mental health changes.
  • Physical Recovery: Monitoring stress and recovery quality over extended periods.
  • Day-to-Day Monitoring: Understanding the health impacts of lifestyle factors such as physical activity, sleep, nutrition, etc.

These applications demonstrate the potential of high-quality BBI data in preventative health and real-world stress management.  Enhanced BBI also opens doors to exploring nonlinear models of HRV, further advancing our understanding of mental health changes.

Experience Near-EKG Quality with Ease on Labfront

Garmin's Enhanced BBI on Labfront is a testament to the fusion of accuracy and convenience in health data collection.

If you're interested in trying out Enhanced BBI in your project, enter your Labfront account email below and someone from our team will help you get set up.

Last medically reviewed on
Jun 19, 2024
Labfront
Labfront
All-In-One Research Solution for Real-World Data Capture

Labfront is a health data analytics company that offers a comprehensive product designed to help researchers collect, analyze, and derive insights from wearable device data. Their platform integrates seamlessly with various health sensors, providing advanced analytics and customizable features to support scientific research in fields such as sleep, stress, and overall physiological monitoring.

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