Applies To: VitalsMirror Mobile Application (Android & iOS) and Official Website (https://arogyaiq.com/science · https://vitalsmirror.com/science)
Official Support & Scientific Inquiries: [email protected] · [email protected]
1. Video-Based, Contactless Spot Checks Using rPPG
VitalsMirror's contactless wellness spot checks are based on Remote Photoplethysmography (rPPG)—an optical sensing method that measures subtle changes in light absorption on small patches of facial skin caused by pulsatile blood volume changes with each heartbeat.
Every contactless check-in runs 100% locally on your device in 4 simple steps:
| Step | Stage | What Happens During Your 60-Second Check-In |
|---|---|---|
| Step 01 | 60-Second Video Selfie at Rest | You sit comfortably at rest facing soft room light and look into the on-screen mirror oval for 60 seconds, guided by voice prompts in English, Telugu (తెలుగు), or Hindi (हिन्दी). |
| Step 02 | Remote PPG Signal from Small Skin Patches | Using the front camera, the app reads microscopic red, green, and blue (RGB) light reflections from small patches of skin on your face, without using any identifiable features such as eyes. |
| Step 03 | Real-Time Signal Processing & SNR Optimization | On-device optical algorithms (POS — Wang et al., 2017 and CHROM — De Haan & Jeanne, 2013) filter out ambient light shifts and micro-movements to maximize the Signal-to-Noise Ratio (SNR). |
| Step 04 | On-Device Wellness Summary (0s Video Saved) | Your numeric wellness indicators—Resting Heart Rate (BPM), Breathing Cadence (BRPM), Pulse-Respiration Ratio (PRQ), Signal Quality (SQI), and Daily Readiness Score—are displayed on your phone. The live camera feed is discarded immediately in real time and is never saved or transferred to any server. |
2. What You See vs. What the Camera & Optical Engine See
While you simply see a calm reflection of your face inside the mirror oval, VitalsMirror's on-device optical engine performs four real-time quality and signal checks in volatile memory (RAM):
- Precise Skin-Patch Framing (No Identity Capture): Verifies that non-identifiable skin patches on your forehead and cheeks are evenly framed inside the mirror guide without creating facial recognition templates or faceprints.
- Even Room Lighting & Low Glare Check: Confirms steady front illumination without harsh spotlight reflections so subtle skin-color variations remain clear across all skin tones.
- Micro-Movement & Speech Filtering: Ensures you remain seated, quiet, and still during the 60-second check-in—pausing honestly if movement or dim lighting reduces signal clarity.
- Sub-Surface Pulse & Breathing Wave Extraction: Separates the arterial pulse wave and respiratory rhythm from background illumination to calculate your daily wellness summary on-device.
3. Core Daily Wellness Indicators
VitalsMirror focuses on clear, actionable non-medical wellness indicators that help you understand your daily resting pulse and breathing balance:
| Indicator | Unit | Typical Resting Adult Range | What It Tells You |
|---|---|---|---|
| Resting Heart Rate | BPM | 55 – 85 BPM | Your resting pulse rate in beats per minute while seated calmly. |
| Breathing Cadence | BRPM | 10 – 18 BRPM | Your natural resting respiration cadence in breaths per minute. |
Pulse-Respiration Ratio (PRQ) | ratio | 3.5 – 5.0 | The coupling ratio between your resting pulse and breathing rhythm. |
Signal Quality (SQI) | % | 85% – 100% | Confirms optical clarity and steady skin-patch framing during your check-in. |
| Daily Readiness Score | 0 – 100 (Optimal · Watch · Needs Care) | 75 – 100 (Optimal) | Compares today's check-in against your personal rolling baseline and offers a 1-Minute Guided Box Breathing reset anytime. |
4. Peer-Reviewed Scientific References (Apple App Store Guideline 1.4.1)
VitalsMirror's contactless rPPG signal extraction and optical pulse calculations are grounded in published, peer-reviewed biomedical engineering literature:
- Plane-Orthogonal-to-Skin (POS) rPPG Algorithm:
Wang, W., den Brinker, A. C., Stuijk, S., & de Haan, G. (2017). "Algorithmic Principles of Remote PPG." IEEE Transactions on Biomedical Engineering, 64(7), 1479–1491.doi:10.1109/TBME.2016.2609282 - Chrominance-Based (CHROM) Motion-Tolerant rPPG:
De Haan, G., & Jeanne, V. (2013). "Robust Pulse Rate From Chrominance-Based rPPG." IEEE Transactions on Biomedical Engineering, 60(10), 2878–2886.doi:10.1109/TBME.2013.2266196 - Contactless Optical Cardiac Pulse Measurement:
Poh, M.-Z., McDuff, D. J., & Picard, R. W. (2010). "Non-contact, automated cardiac pulse measurements using video imaging and blind source separation." Optics Express, 18(10), 10762–10774.doi:10.1364/OE.18.010762
