ScanBod for Windows

Track and Analyze Your Health with Advanced AI

Welcome to ScanBod for Windows, the ultimate health monitoring application that leverages cutting-edge AI video DSP processing and remote photoplethysmography (PPG) technology. Track your facial movements and analyze vital health metrics non-invasively, without the need for needles or lancet pricking. Clinical trials have shown an accuracy of 94-96% compared to standard blood tests, which can take days to analyze.

Heart Rate Monitoring Blood Glucose Monitoring Total Cholesterol Monitoring Uric Acid Level Monitoring
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About ScanBod

The ScanBod app was developed over several years by a team of top scientists and engineers in the fields of biomedical electronics, digital signal processing, video/image processing, software, and firmware development. Our team boasts over 30 years of R&D experience and has won numerous awards in multiple fields, reflecting their vast technical knowledge.

Team members have previously worked with renowned government organizations and multinational companies, including Apple, Texas Instruments (TI), Microsoft, and IBM. This experienced team brings a wealth of knowledge and expertise, making ScanBod a powerful tool backed by innovative technology and a commitment to advancing health monitoring solutions.

Global Health Issues

Health issues like diabetes, high cholesterol, high uric acid, and heart problems are prevalent worldwide and pose significant health risks:

Features

Benefits of Non-Invasive Monitoring

Non-invasive monitoring offers numerous benefits, including reduced risk of infection, less pain and discomfort, and the ability to perform frequent measurements without clinical visits. This technology provides a convenient and efficient way to keep track of vital health metrics from the comfort of your home.

Technology

Your face contains a wealth of information about your heart rate due to its rich network of blood vessels close to the skin's surface. These vessels allow subtle color changes to occur as blood pulses through them with each heartbeat, a phenomenon that can be measured and analyzed to extract cardiovascular data.

Technologies like remote photoplethysmography (rPPG) use cameras to detect these subtle color variations. By analyzing video frames from a camera, an rPPG algorithm can track the periodic changes in the color of your skin, especially in areas where blood vessels are closer to the surface, such as the cheeks, forehead, and temple areas. This allows the extraction of accurate data on heart rate and even heart rate variability.

The ScanBod app uses high-sensitivity cameras and advanced AI algorithms to enhance measurement accuracy. By focusing on the frequency of these color changes and filtering out noise, the system is able to provide real-time, non-invasive cardiovascular insights.