Abstract: To participate in a health incentive program, a customer of a health-related business such as a health insurance company or medical group entity may use a physiological measurement device to report health-related activity to the business. However, a customer may report fraudulent activity to the business by allowing another party to use the physiological measurement device. In embodiments, an electronic device, a collection and validation server, and a physiological measurement device may execute methods to ensure that the user of the physiological measurement device has identified themselves properly to the business. In embodiments, the electronic device and the physiological measurement device may produce sets of physiological measurement data that are compared to determine that a user of the electronic device is the same as the user of the physiological measurement device. The electronic device may produce a set of physiological measurement data using video and image processing techniques.

Abstract: A system and method for a user to select and implement a lifestyle intervention. The system and method allows the user to select a lifestyle intervention and define the parameters of the intervention. The system monitors physiological parameters of the user that are related to the lifestyle intervention.

Abstract: Computer implemented systems and methods are presented comprising a platform coordinating data flows between data acquisition, data transformation and data delivery nodes, whilst protecting the identities of all entities whose data is being acquired, transformed, stored, and/or delivered. Metadata usage from different data transformation flows enables the platform to facilitate value distribution back to nodes and data subjects that contributed to output, enabling individual companies and/or data subjects subscribed to the platform to assess how and by whom their data is utilized in order to produce specific outputs, with the personal data of all entities being de-identified.

Abstract: To participate in a health incentive program, a customer of a health-related business such as a health insurance company or medical group entity may use a physiological measurement device to report health-related activity to the business. However, a customer may report fraudulent activity to the business by allowing another party to use the physiological measurement device. In embodiments, an electronic device, a collection and validation server, and a physiological measurement device may execute methods to ensure that the user of the physiological measurement device has identified themselves properly to the business. In embodiments, the electronic device and the physiological measurement device may produce sets of physiological measurement data that are compared to determine that a user of the electronic device is the same as the user of the physiological measurement device. The electronic device may produce a set of physiological measurement data using video and image processing techniques.

Abstract: Computer implemented systems and methods are presented comprising a platform coordinating data flows between data acquisition, data transformation and data delivery nodes, whilst protecting the identities of all entities whose data is being acquired, transformed, stored, and/or delivered. Metadata usage from different data transformation flows enables the platform to facilitate value distribution back to nodes and data subjects that contributed to output, enabling individual companies and/or data subjects subscribed to the platform to assess how and by whom their data is utilized in order to produce specific outputs, with the personal data of all entities being de-identified.

Abstract: The claimed invention presents methods for predicting the outcomes of physiological systems in real time using limited data input and computational resources. The claimed invention is comprised of simplified, or abstracted, physiological models, derived from detailed cloud-based computational systems biology models. Abstracted models are capable of utilizing limited data streams, typically obtained from non-invasive data acquisition devices, to accurately estimate, predict and display the outcomes of physiological systems in real time on the device, compared to detailed cloud-based estimations that are computationally demanding and can be used to continuously update abstracted models over time.