What is Beatwell API
Beatwell API seamlessly transforms physiological signals from any acquisition technology into validated wellness metrics, offering a unified intelligence for health and performance.
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Features
- Multi Sensor Intelligence
- Validated Wellness Metrics
- Physiological Signal Transformation
Pricing
- Freemium
Useful For
- Freelancers
- Students
- Entrepreneurs
- Developers
- Startups
- Small Businesses
- Enterprises
- Remote Teams
Beatwell API as an Alternative to
Detailed Description
The Beatwell API is a cloud-based SaaS platform that transforms raw physiological signals into validated wellness metrics. Instead of building custom algorithms for filtering, heartbeat detection, or arrhythmia analysis, developers can access reliable results instantly through a single API.
Designed to be agnostic to acquisition technology, the Beatwell API supports signals from photoplethysmography (PPG), invasive arterial (ART), contact arterial sensing, and radar vital sensing (RVS). This ensures compatibility across consumer wearables, clinical devices, and emerging sensing technologies without the need to redesign your analytics pipeline.
Why Choose the Beatwell API?
✨ Signal Agnosticism – Integrate data from virtually any sensor—PPG, ART, RVS, and more—within one framework.
🎯 Validated Wellness Metrics – Access reliable markers such as heart rate, arrhythmia detection, and advanced cardiac indicators.
🚀 Accessible by API – Simple cloud access makes it easy to prototype, test, and integrate wellness analytics into your projects.
🧠 Advanced Intelligence – Proprietary physiological modeling combined with AI ensures robust analysis, even from noisy signals.
By centralizing and standardizing signal processing, the Beatwell API helps innovators—from startups and wearable tech companies to clinical researchers and wellness platforms—accelerate development and focus on building applications, not reinventing algorithms.
AMA with Maker (2)
We're building a mental wellness app and want to use your API to analyze user stress from wearables. How do you handle different data quality levels, like a cheap smartwatch vs. a clinical-grade ECG, to ensure the wellness metrics are still reliable?
I've got data coming from a couple of different wearables and a custom ECG device. Your description says "from any acquisition technology," but how does that actually work? Are there specific formatting requirements we need to follow, or does your API handle the normalization automatically?