Built for Telehealth Platform Engineers
Every feature designed to integrate seamlessly into your existing video visit architecture
Vital Signs Capture Engine
Clinical-grade measurements from the patient's existing camera
Heart Rate Detection
Continuous pulse rate measurement through facial blood flow analysis. The SDK detects rhythmic color changes caused by cardiac cycles, delivering BPM data that aligns with medical-grade pulse oximeter readings across validated populations.
HRV Analysis
Heart rate variability metrics extracted from inter-beat intervals. Provides SDNN, RMSSD, and frequency-domain measures that reveal autonomic nervous system state — critical data for assessing stress, recovery, and cardiovascular health during virtual visits.
SpO2 Estimation
Blood oxygen saturation estimated through differential light absorption analysis. The same camera feed used for video consultation yields oxygen level data, adding a crucial respiratory metric to every telehealth encounter.
Stress Index Calculation
A composite physiological stress score derived from multiple vital sign inputs. Provides providers with an objective stress measurement that complements subjective patient reporting during behavioral health and primary care visits.
Vital Signs Capture Engine
Platform Integration Architecture
Designed to fit your existing infrastructure, not replace it
SDK Embedding
Circadify's lightweight SDK integrates into your client application alongside your existing video stack. It operates on the same camera feed used for the video call, requiring no additional camera access permissions or user interaction. Available for iOS (Swift/ObjC), Android (Kotlin/Java), and web (JavaScript/TypeScript).
Structured Data Pipeline
Vital signs data is delivered as structured JSON payloads through your choice of delivery mechanism — real-time WebSocket streaming, REST API polling, or webhook callbacks. FHIR-compatible output formats available for direct EHR integration without transformation.
On-Device Processing Model
All biometric signal processing executes locally on the patient's device. Raw video frames never leave the client. Only structured vital signs data (numerical values with timestamps) is transmitted — and only through your platform's existing secure data channels.
Platform Integration Architecture
rPPG SDK vs Wearable RPM Devices
| Feature | TelehealthVitals | Traditional Methods |
|---|---|---|
| No Patient Hardware Required | ||
| Integrated Into Video Visit Flow | ||
| Same-Day Platform Integration | ||
| On-Device Processing (HIPAA) | Varies | |
| Heart Rate + HRV + SpO2 |
Experience TelehealthVitals Today
See what contactless vitals monitoring can do — try it free.