CPC A61B 5/0205 (2013.01) [A61B 5/1455 (2013.01); A61B 5/1495 (2013.01); A61B 5/14532 (2013.01); A61B 5/318 (2021.01); A61B 5/352 (2021.01); A61B 5/355 (2021.01); A61B 5/358 (2021.01); A61B 5/36 (2021.01); A61B 5/6802 (2013.01); G16H 50/20 (2018.01); A61B 5/02405 (2013.01); A61B 2560/0223 (2013.01)] | 20 Claims |
1. A medical system comprising:
sensing circuitry configured to sense a cardiac characteristic of a patient; and
processing circuitry configured to:
receive a current cardiac signal indicative of the cardiac characteristic from the sensing circuitry, wherein the current cardiac signal is indicative of a current cardiac characteristic of the patient, and
determine a representative glucose level using a machine learning algorithm and the current cardiac signal,
wherein, previous to determining the representative glucose level, the machine learning algorithm was trained using one or more training data sets including a training input vector and a training output vector, wherein the training input vector is representative of a cardiac signal and the training output vector is representative of a glucose level associated with the cardiac signal.
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