Medical vitals in 40 seconds.
Before your teleconsultation begins.
Because telehealth lacks physical presence in a medical facility, doctors typically consult without baseline vitals. VitaPulse allows patients to capture certified resting heart rate, blood pressure trends, SpO2, and respiration directly from their camera prior to their scheduled appointment — giving clinicians complete hemodynamic insight before greeting the patient.
No physical presence in a medical facility?
Doctors review objective vital signs before the scheduled call.
In traditional in-person doctor visits, a nurse always records your vitals in triage before the physician enters. In telehealth, doctors are forced to consult blind without any physical baseline. VitaPulse bridges this diagnostic gap with an autonomous 40-second scan in the virtual waiting room.
Virtual Waiting Room Check-In
When the patient clicks their video visit confirmation link, the virtual waiting room prompts a 40-second camera check. No blood pressure cuffs or wearables to pair — simply look at the screen.
Autonomous Hemodynamic Extraction
Our rPPG engine captures micro-capillary light absorption at 540nm. In 40 seconds, it calculates certified Resting HR, Systolic/Diastolic BP trends, Respiratory rate, and SpO2 with r = 0.98 accuracy.
Clinician Reviews Prior to Greeting
The physician joins the video call with the patient's verified vitals already mapped on their screen. Doctors can immediately detect hypertensive spikes, tachycardia, or hypoxia from minute one.
How Contactless rPPG Extracts Blood Pulsation
With every cardiac contraction, blood rushes through the microvascular facial bed. Oxygenated hemoglobin absorbs green spectrum light (~540nm) differently from ambient skin reflection. VitaPulse quantifies these invisible sub-pixel chromatic shifts at 60 frames per second.
The 4-Stage Photoplethysmography Pipeline
From raw consumer webcam pixels to certified clinical hemodynamic waveforms.
Dense Facial Mesh & ROI Segmentation
Detects 468 3D facial landmarks to isolate optimal micro-capillary vascular zones across the zygomatic arch (cheeks) and frontal region (forehead), eliminating occlusion from facial hair or glasses.
Sub-Pixel Chromatic Decomposition (POS & CHROM)
Applies Plane-Orthogonal-to-Skin (POS) and Chrominance (CHROM) algorithms to cancel ambient light fluctuations and head motion artifacts while extracting the underlying pulse wave.
Spatial-Temporal Convolutional Deep Learning
Our deep neural model reconstructs clean arterial pulse waves with micro-second fidelity, resolving dicrotic notch morphology and inter-beat intervals (IBI).
Hemodynamic & Autonomic Feature Derivation
Translates pulse waveforms into accurate measurements for Heart Rate (BPM), Heart Rate Variability (SDNN/RMSSD), Blood Pressure trends via Pulse Transit Time, and Respiratory Rate.
Benchmarked Against Gold-Standard Medical Hardware
Validated across multi-center trials exceeding 12,000 subjects representing diverse age distributions, skin tones (Fitzpatrick I–VI), and clinical ambient lighting conditions.
| Physiological Metric | Traditional Medical Standard | Standard Hardware Friction | VitaPulse Optical AI | Clinical Accuracy (vs Standard) |
|---|---|---|---|---|
| Resting Heart Rate | 12-Lead Holter ECG | Sticky chest electrodes, wires, clinic visit | 30s Face Camera Scan | r = 0.985 | RMSE 1.9 BPM |
| Heart Rate Variability (SDNN) | Clinical ECG Lead II | Restricted movement, specialized clinic equipment | Inter-Beat Interval Analysis | r = 0.942 | Error < 4.8 ms |
| Blood Pressure Estimation | Auscultatory Sphygmomanometer | Bulky inflatable arm cuff, manual user error | Pulse Transit Waveform Deep Net | AAMI Standard compliant (MAE < 5 mmHg) |
| Blood Oxygen (SpO2) | Hospital Fingertip Pulse Oximeter | Physical sensor clip, cold fingers degrade signal | Dual-Wavelength Chrominance Ratio | RMSD < 1.8% (Range 90–100%) |
| Respiration Rate | Chest Impedance Pneumography | Thoracic strap or nasal cannula | Respiratory Sinus Arrhythmia + Optical Flow | r = 0.968 | MAE 0.9 BrPM |
| Autonomic Stress Index | Clinical ECG Autonomic Balance (LF/HF) | Laboratory impedance equipment, multi-lead sensors | Optical rPPG Pulse Transit & HRV Variance | r = 0.932 | High Clinical Specificity |
Scalable Across Five Critical Health Sectors
VitaPulse embeds as an SDK, WebView, or microservice into your existing digital workflows, instantly upgrading user touchpoints into clinical diagnostics.
Instant Clinical Triaging in Virtual Patient Consultations
Integrate contactless rPPG directly into video consult windows. Doctors capture certified resting heart rate, respiratory rate, and blood pressure trends without patient-owned wearables or hardware shipping.
- Zero hardware friction: patient simply glances at the camera during consultation
- Clinician real-time dashboard overlays physiological waveforms directly onto call
- EHR/EMR bidirectional synchronization (FHIR, HL7, Epic, Cerner compliant)
- Reduces triage time by an average of 4.5 minutes per telehealth appointment
Patient consultation completion rate
Integrate Contactless Vitals in Less Than 20 Lines
Ship across Web, iOS, Android, and Cloud with native hardware-accelerated SDKs running on Apple Neural Engine, Android NNAPI, and WebAssembly SIMD.
// 1. Initialize the VitaPulse Web SDK (Client-Side Edge Inference)
import { VitaPulseEngine } from '@vitapulse/web-sdk';
const engine = new VitaPulseEngine({
apiKey: 'vtp_live_920194829ad89b',
roiTarget: ['cheeks', 'forehead'],
sampleRate: 60, // 60 FPS chromatic analysis
features: ['rppg', 'respiration', 'blood_pressure', 'autonomic_hrv']
});
// 2. Attach to camera element or video stream
await engine.attachVideo('#patientCamera');
// 3. Subscribe to real-time hemodynamic pulse telemetry
engine.on('vitals', (reading) => {
console.log('Heart Rate:', reading.heartRate.bpm);
console.log('HRV (SDNN):', reading.hrv.sdnn, 'ms');
console.log('Blood Pressure Est:', reading.bloodPressure.formatted);
console.log('Signal Quality (SNR):', reading.snrDb);
});
await engine.startDiagnostics();Live JSON Telemetry Inspector
Inspect structured telemetry payload emitted by VitaPulse inference engine:
{
"status": "completed",
"timestamp_utc": "2026-11-13T09:41:00Z",
"measurement_confidence": 0.984,
"optical_snr_db": 18.7,
"metrics": {
"heart_rate": {
"bpm": 73.4,
"confidence": 0.991,
"source": "facial_rppg_540nm"
},
"heart_rate_variability": {
"sdnn_ms": 51.2,
"rmssd_ms": 38.6,
"pnn50_pct": 14.8
},
"blood_pressure": {
"systolic_mmhg": 119.2,
"diastolic_mmhg": 78.4,
"method": "pulse_transit_time_calibration"
},
"respiration_rate": {
"breaths_per_min": 15.1
},
"blood_oxygen": {
"spo2_pct": 98.7
},
"autonomic_stress_telemetry": {
"sdnn_variance": 18.4,
"stress_index": 21.5,
"classification": "optimal_autonomic_tone"
}
},
"privacy_signature": "sha256_e9c381...zero_video_retained"
}Built to Clinical Privacy Standards
Healthcare compliance is engineered into the foundation. No facial imagery is ever recorded, transmitted, or stored on external servers.
HIPAA & HITECH Compliant
Full support for enterprise Business Associate Agreements (BAA) with audit-ready access logs and encrypted transport.
Zero-Biometric Retention
Facial frames are evaluated purely in-memory at the edge and immediately destroyed after optical feature extraction.
Medical Quality Management
Certified Quality Management System adhering to stringent software as a medical device (SaMD) international standards.
Continuous Cloud Auditing
Penetration-tested infrastructure with 99.99% availability SLA, automated credential rotation, and zero-trust IAM.
Calculate Your Organization's Telehealth ROI
See how replacing hardware cuffs and manual triaging with instant optical vitals impacts clinician throughput and early risk intervention.
Based on empirical clinical workflow data: an average of 4.5 minutes saved per consultation triage, eliminating hardware dispatch costs, and early identification of hypertensive decompensation.