How the Vitalself Scan Works

The Science Behind the Technology

The Vitalself scan uses your device's camera to measure your vital signs and health indicators in under two minutes — no wearables, no finger clips, no blood draws. To understand how this is possible, it helps to know a little about the science it is built on.

rPPG - Remote Photoplethysmography

The foundation of the Vitalself scan is a technology called remote photoplethysmography, or rPPG.

Photoplethysmography (PPG) itself has been around since the 1930s, when researchers first discovered that light passing through or reflecting off skin could detect changes in blood volume beneath the surface. Every time your heart beats, a pulse of blood moves through your facial capillaries - and the colour of your skin changes very slightly as a result. These changes are completely invisible to the human eye, but a camera can detect them.

Traditional PPG is what powers the pulse oximeter - the small clip-on device placed on your fingertip at the doctor's office. It shines light through your finger and measures how much is absorbed by your blood. This technology has been clinically validated for decades and is a medical standard worldwide.

rPPG takes this same principle and removes the need for contact entirely. Instead of a clip on your finger, your camera analyses the light reflecting from your face - detecting the same subtle colour fluctuations caused by your pulse, across thousands of pixels simultaneously. The concept was first demonstrated in academic research around 2008, when MIT researchers showed that a standard webcam could reliably extract heart rate signals from facial video. Since then, the field has grown rapidly, with hundreds of peer-reviewed studies validating rPPG across diverse populations, lighting conditions, and skin tones.

How reliable is rPPG compared to traditional devices?

In controlled conditions, validated rPPG systems have demonstrated heart rate accuracy within ±2–3 bpm of medical-grade pulse oximeters, and oxygen saturation estimates within ±2% of finger oximeters in normal SpO₂ ranges. A 2021 meta-analysis published in peer-reviewed literature confirmed that rPPG-derived heart rate is clinically comparable to contact PPG in resting conditions. Breathing rate detection via rPPG has similarly been validated against respiratory monitoring equipment in multiple studies.

It is important to note that rPPG accuracy is influenced by lighting conditions, movement during the scan, skin tone, and camera quality. This is why the Vitalself scan asks you to remain still in good, even lighting - these aren't arbitrary instructions, they are the conditions under which the technology performs at its clinical best. Like any screening tool, results should be interpreted in context and confirmed with clinical-grade equipment when precision is critical.

Proprietary Algorithms and Artificial Intelligence

Raw rPPG signal is just the starting point. What makes Vitalself's scan uniquely powerful is the layer of proprietary algorithms and artificial intelligence applied to that signal.

The raw light data captured from your face contains a wealth of physiological information - but extracting it accurately requires sophisticated signal processing to separate true biological signals from noise caused by lighting variation, micro-movements, and individual differences in skin and facial structure. Vitalself's processing pipeline filters and refines this raw data with precision before any health parameters are calculated.

Beyond the rPPG signal itself, machine learning models trained on large clinical datasets are used to derive parameters that go beyond what the camera directly measures - including blood pressure estimation, haemoglobin approximation, autonomic nervous system indices, and metabolic risk indicators. These models identify patterns in the physiological signal that correlate with clinically measured values, continuously refined against real-world health data.

The result is a scan that combines:

• rPPG signal capture - the validated optical foundation
• Proprietary signal processing - extracting clean physiological data from raw camera input
• AI-driven parameter derivation - translating signals into the full range of health indicators you see in your results
• Integrated wellness scoring - synthesising all parameters into an actionable overall picture

This combination moves the Vitalself scan well beyond a simple heart rate monitor into the territory of a comprehensive physiological snapshot - one that would previously have required a clinical setting and multiple pieces of equipment to obtain.

What This Means for Your Results

Understanding the technology helps you interpret your results appropriately:

Highly reliable from rPPG: Heart rate, breathing rate, PRQ, HRV metrics (SDNN, RMSSD, SD1, SD2, LF/HF), SpO₂, PNS/SNS indices, mean RRi - these are derived directly from the optical signal and have strong validation in the literature.

AI-derived estimations: Blood pressure, haemoglobin, HbA1c, glucose risk, cholesterol risk - these are calculated through AI models and should be understood as risk indicators and screening flags rather than precise clinical measurements. They are designed to tell you where to look, not to replace a blood test or a BP cuff.

The bottom line: The Vitalself scan is a powerful, validated screening tool. It is not a medical diagnostic device. Think of it the way you would think of a sophisticated early-warning system - it is exceptionally good at identifying patterns that warrant attention, and at tracking change over time. For any parameter that raises a flag, the appropriate next step is confirmation with clinical-grade testing and discussion with your healthcare provider.

⚠️ Important Disclaimer: Vitalself scan results are health screening indicators only and do not constitute a medical diagnosis. The rPPG and AI-derived parameters in this scan is not a medical diagnostic device. Always consult a qualified healthcare professional before making any changes to your health management, starting or stopping any medication, or if you have any concerns about your results. In an emergency, contact your nearest emergency services immediately.