Performance of ai algorithm for detection of blood pressure

A system for determining a blood pressure value of a user comprising:

• a processor in communication with a calculation model, wherein the calculation model is configured to determine the blood pressure value of the user based on signals collected from the user, wherein the processor is programmed to perform operations comprising:
• identifying whether a measurement device is a verified device, verified devices defined as measurement devices that have completed a qualification process, wherein the qualification process comprises:
• analyzing a shape of a signal received from the measurement device;
• determining configuration settings for the measurement device such that the shape of the signal will have predetermined characteristics;
• storing the configuration settings;
• and
• qualifying the measurement device as a verified device and
• if the measurement device is a verified device, further performing operations comprising:
• configuring the measurement device according to configuration settings determined during the qualification process;
• receiving a signal from the measurement device;
• and
• delivering the signal to the calculation model to determine the blood pressure value of the user.

A system for determining a blood pressure value of a user comprising:

• a processor programmed to perform operations comprising:
• receiving a signal from a sensor adapted to receive the signal from the user;
• delivering the signal as an input to a model that returns the blood pressure value as an output, wherein the model is developed according to a process comprising:
• training the model using a first data set of signals;
• refining the trained model using a second data set of signals wherein the signals of the second data set are annotated with information correlated with blood pressure values collected using a reference methodology on a first cohort of subjects;
• and
• validating the refined model to ensure conformance with a validation criteria by comparing blood pressure values returned by the refined model against blood pressure values collected on a second cohort of subjects using the reference methodology.