Bayesian denoising for retrospective detection

A system for detecting a pressure induced sensor artifact (PISA) in an analyte signal, the system comprising:

• an analyte sensor system configured to generate raw analyte data for a user;
• a memory comprising executable instructions;
• and
• a processer in data communication with the memory and configured to execute the instructions to:
• receive a measured analyte trace having a plurality of data samples obtained over a period of time from an analyte sensor;
• generate a reconstructed analyte trace and an associated confidence window from the measured analyte trace using a Bayesian denoising algorithm that includes a model that models the measured analyte trace as a sum of an unknown true analyte trace and a measurement error;
• and
• compare the measured analyte trace to the reconstructed analyte trace to identify data samples in the measured analyte trace that are located outside of the confidence window as being associated with a PISA.

A computer-readable medium comprising instructions which, when executed by a processor, cause the processor to perform a method for detecting a pressure induced sensor artifact (PISA) in an analyte signal, the method comprising:

• receiving, by a processor, a measured analyte trace having a plurality of data samples obtained over a period of time from an analyte sensor;
• generating, by the processor, a reconstructed analyte trace and an associated confidence window from the measured analyte trace using a Bayesian denoising algorithm that includes a model that models the measured analyte trace as a sum of an unknown true analyte trace and a measurement error;
• and
• comparing, by the processor, the measured analyte trace to the reconstructed analyte trace to identify data samples in the measured analyte trace that are located outside of the confidence window as being associated with a PISA.