Valencell collects thousands of datasets from around the world
Transforming Years of Data into Better Digital Health Solutions
Powered by advanced analytics built upon tens of thousands of raw datasets collected from thousands of human subjects, Valencell has been breathing life into wearable photolethysmography (PPG) sensors for over a decade.
If you’ve seen the green blinking lights on the back of a smartwatch or fitness band, that’s probably utilizing at least one of Valencell’s inventions. Those lights are shining light into the body, and the sensor is capturing blood flow patterns within the scattered light. The challenge is that these patterns cannot be extracted in a simple, linear fashion. To address this limitation, Valencell has developed a “Deep-PPG” neural network that is capable of analyzing these patterns to determine biometrics such as blood pressure, heart rate, heart rate variability, blood oxygenation, respiration rate, and more.
Valencell is introducing accurate blood pressure monitoring via PPG, without the need for calibration using a cuff. Pending FDA Clearance, the Valencell’s solution will use PPG sensors to measure blood flow patterns, then proprietary AI algorithms, developed from PPG datasets comprising more than 7,000 patients, will be used to process this information with physical characteristics (age, BMI, and biological sex) to calculate a blood pressure measurement.