Compression event detection for continuous glucose monitors

Abstract

A continuous analyte monitoring system includes first and second analyte sensors configured to sense analytes such as lactate and glucose in the tissue of a user. A controller Is coupled to the analyte sensors and configured evaluate first samples of outputs of the first analyte sensor and second samples of outputs of the second analyte sensor with respect to one another to determine whether the first samples and the second samples indicate compression of the tissue. If the first samples and the second samples indicate compression of the tissue, compensate for the compression of the tissue with respect to the first samples. The controller may evaluate the machine learning models using a machine learning model or a filter.

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