The Readiness Analytics service provides seamless integration of Kubios’ gold-standard heart rate variability (HRV) analysis algorithms into your health, wellness, or sports application. Designed for analyzing short, resting HRV recordings, this service delivers a comprehensive set of metrics that help users monitor daily stress, recovery, and overall well-being.
About Kubios Readiness Analytics
The Readiness Analytics endpoint is specifically tailored for short, resting HRV measurements, offering personalized and detailed HRV-based readiness assessments.
- About HRV: Heart rate variability is the most reliable non-invasive tool for objectively assessing autonomic nervous system function, making it ideal for evaluating physiological stress and recovery.
- Validated Algorithms: Kubios’ HRV algorithms are scientifically validated and trusted by professionals worldwide. Used by over 1,800 universities across 149 countries, they bring trusted insights to your app.
- Reliable and Easy to Integrate: Kubios’ analysis services run on Amazon Web Services (AWS) and use a RESTful API architecture for seamless integration.
Key Features
With advanced pre-processing and a comprehensive set of HRV metrics, the Readiness Analytics service provides precise insights into users’ physiological readiness and overall well-being.
- Accurate Pre-processing: Advanced noise detection, beat correction, and detrending algorithms ensure high-quality HRV data.
- Readiness Index: A personalized Readiness index for assessing daily stress and recovery. Consistent measurements are essential to establish a reliable HRV baseline for accurate readiness tracking.
- Physiological Age: Derived from resting HRV, the Physiological age estimate provides users with insights into how their body’s functioning compares to their chronological age.
- PNS and SNS Indices: PNS and SNS indexes are proprietary indexes for assessing parasympathetic and sympathetic nervous system activity.
- Detailed HRV Analysis: Time-domain (Mean RR, SDNN, RMSSD), frequency-domain (LF and HF powers, LF/HF ratio), and nonlinear Poincaré plot analysis (SD1 and SD2) parameters.
- Respiratory Rate: Empower your app with a validated respiratory rate estimate.
Specifications & Pricing
API Specifications:
- Hosted on Amazon Web Services (AWS)
- RESTful API architecture
- API documentation available upon request
- Integration support from our experienced developers
- Input: RR interval data in JSON format
- Processing time: 1-2 seconds per 3-5 minute RR interval recording depending on network speed
Pricing:
- Registration Fee (setup and integration support)
- Starting at: 125 USD / month + sales tax, VAT, or GST (up to 5,000 requests per month)
