Welcome to the World of Sensors – The Gateway to Real-World Intelligence
Sensors are the invisible translators between the physical world and intelligent systems. They turn motion into metrics, pressure into data, and biological signals into insights. At MetaBrain Labs, we connect our AI agents to a wide range of sensors to understand people, machines, and environments in real time — enabling smarter, faster decisions across health, performance, and operations.
On this page, you’ll discover the three sensor categories we support and a new vitals collection scan that is coming on the market:
Photoplethysmography (rPPG):
A non-contact optical method that measures physiological signals using a standard RGB camera (like a webcam or phone camera). It analyzes minute color changes in facial skin caused by blood flow.
Can estimate:
- Heart rate (HR)
- Respiratory rate (RR)
- Blood oxygen (SpO₂) (with some limits)
- Stress levels or HRV (via signal variability)
- Blood pressure (if paired with machine learning models and calibration)
As this technology matures and is FDA cleared we intend to integrate this technology into our Clinical Intake Agents to improve care. Here is one vendor that offers a demo:
https://hcs.faceheart.
Consumer-Grade Wearables
Everyday Devices. Extraordinary Insight.
From smartwatches and fitness bands to EEG headsets and heart rate monitors — these are the tools many already wear. Our AI agents integrate with these consumer-friendly devices to collect behavioral and biological data in real-world contexts. Whether it’s sleep, stress, or movement patterns, we bring intelligence to the surface.
Examples: Apple Watch, Fitbit, Muse, Garmin, Oura, Whoop
Clinical-Grade Devices
Medical Precision. Real-Time Intelligence.
We support FDA-cleared clinical sensors designed for healthcare settings. These devices offer accurate vitals and diagnostics that can be trusted by professionals. Our AI agents connect seamlessly to capture, validate, and act on data like blood pressure, ECG, temperature, SpO₂, and more — automatically feeding structured data into healthcare workflows.
Examples: Nonin SpO₂ monitors, Welch Allyn BP cuffs, ECGs, IR thermometers
Why It Matters
By bridging sensors and AI, we create living systems — aware, adaptive, and responsive. This is more than data collection. It’s about understanding what’s happening, why it’s happening, and what to do next. Whether you’re tracking a patient’s heart rate, an athlete’s recovery, or a machine’s critical threshold — this is where intelligent action begins.