For years, digital health research has faced a persistent challenge: limited access to high frequency, research grade wearable data. Investigators often had to choose between consumer devices with restricted data access or building custom hardware and complex ingestion pipelines from scratch.
That barrier is disappearing.
Through our partnership with Garmin, Centralive now enables researchers to access high resolution physiological and behavioral data directly within the Centralive platform. This integration removes the need for custom device development, fragmented APIs, or brittle data engineering workflows. Instead, research teams can focus on study design, analysis, and impact.
From Raw Signals to Research Ready Data
Modern digital health studies require more than daily summaries. They demand granular, time aligned, high frequency signals that capture real world physiology and behavior as they unfold.
With the Centralive and Garmin integration, investigators can access:
- Respiration sampled at 1 second intervals
- Heart rate at 1 second intervals
- Stress metrics at 10 second intervals
- Steps aggregated per minute
- Heart rate intervals for HRV at each beat
- Actigraphy at 10 second intervals
- 3 axis accelerometer streaming up to 100 Hz
- Oxygen saturation, SpO2, at 1 second intervals
This level of resolution unlocks new research possibilities across physiology, behavior, and clinical outcomes.
Why Measurement Frequency Matters
Granularity changes what is scientifically possible.
One second heart rate data supports detailed autonomic modeling and time sensitive intervention analysis. Beat to beat HRV enables robust cardiovascular and stress related insights. High frequency accelerometry at 100 Hz supports gait analysis, fall detection research, tremor quantification, and fine grained activity classification.
Lower resolution summaries can mask transient effects, blunt associations, and limit causal inference. High resolution data preserves signal integrity and allows researchers to ask more sophisticated questions.
Integrated, Not Fragmented
Access to high frequency signals is only valuable if it is operationally usable.
Centralive ingests, harmonizes, and structures data from Garmin devices into a unified research environment. This means:
- Standardized data models across participants
- Secure, compliant data handling
- Scalable ingestion pipelines
- Alignment of physiological and behavioral streams
- Seamless integration with study workflows
Instead of building and maintaining complex device specific infrastructure, research teams can leverage a production ready platform designed for clinical and behavioral science.
Expanding What Digital Health Can Measure
High resolution wearable data supports a wide range of use cases:
Clinical research
Continuous monitoring of cardiometabolic health, recovery trajectories, stress physiology, and respiratory dynamics.
Behavioral science
Linking moment to moment physiological shifts with contextual or ecological assessments.
Remote monitoring
Detecting early signals of deterioration, tracking adherence, and evaluating intervention effectiveness outside clinical settings.
Population studies
Scaling large cohorts without sacrificing signal depth.
By combining research grade wearables with a purpose built digital health infrastructure, the bottleneck shifts from data access to scientific creativity.
A New Baseline for Digital Health Infrastructure
Digital health research no longer needs to compromise between scale and signal fidelity. With Centralive and Garmin, high frequency physiological and behavioral data is accessible, structured, and ready for analysis.
The future of digital health will be defined by precision, longitudinal insight, and real world context. Removing the data bottleneck is a critical step toward that future.
If you are designing a study that demands high resolution wearable data, we would love to explore how Centralive can support your research.
