GVU Center Brown Bag Seminar: A Wearable-Agnostic IOT Platform: From Sensors to Health Solutions
LifeQ is a digital health company focused on the practical application of computational systems biology to providing biometrics and health solutions derived from wearable devices. LifeQ’s unique combination of longitudinal, high coverage, high resolution tracking of numerous lifestyle and physiological signals enables the development of solutions that include the provision of health information for lifestyle management, preventative healthcare, and early disease detection -- including a new Covid-19 early warning and monitoring solution. LifeQ’s health information solutions are hosted within an EU General Data Protection Regulation (GDPR) compliant end-to-end IOT infrastructure. The company works with global leaders in wearables, silicon manufacturers, digital platforms, and insurance. For example, LifeQ is built into the latest Samsung Galaxy smartwatches. It has offices in Atlanta, Amsterdam, and South Africa.
Various content aggregation services exist for wearable and other information streams that track human behavior and physiology. These services are compatible with a wide range of wearable device brands, as well as several types of IOT hardware such as mobile phones and connected body weight scales. These approaches provide scalable access to data from many common end-consumer wearable devices, but lack the necessary standardization to ensure interoperable, high quality data points for downstream applications such as disease monitoring and management, or research. LifeQ has taken a fresh approach to this problem by providing an operating system abstraction layer for supporting sensor level signal acquisition and standardized signal processing to provide standardized, high quality biometrics, while optimizing for constraints such as battery life and payload. The company covers performance on key biometric results derived from enabling more than a dozen commercially available wearable devices spanning several different wearable operating systems using this approach.