Method for structuring and classification of continuous glucose monitoring (CGM) profiles

A method for developing a model to classify continuous glucose monitoring (CGM) data, the method comprising:

• determining whether the two CGM profiles match based on a similarity of shapes of the two CGM profiles, each CGM profile including a data set of CGM measurements;
• designating two matching CGM profiles as a CGM profile pair;
• transforming the CGM profile pair into a motif, the motif being a representation of the CGM profile pair as a single data point;
• labeling the motif as a labelled motif based on a clinical characteristic;
• and
• recursively repeating the determining, designating and transforming steps of a CGM profile pairing process until a finite set of motifs is created, which includes the labelled motif as a classified data point;
• monitoring or analyzing a concentration of glucose levels of a patient using the labelled motif, wherein monitoring or analyzing comprises comparing the glucose levels of the patient to the labelled motif;
• and
• generating a signal that includes a command signal to an automated control system requiring, based on the comparing the glucose levels of the patient to the labelled motif:
• a determination of risk of hypo- or hyper-glycemia, change in a determination of a risk of hypo- or hyper-glycemia, a notification to check a glucose level, a modification of an insulin dosage, a modification of a basal insulin, a modification of a basal insulin rate, a modification of an insulin infusion rate, and/or a modification of patient nutritional administration.

A system for classifying patient continuous glucose monitoring (CGM) data, the system comprising:

• a processor;
• computer memory having instructions stored thereon that when executed will cause the processor to:
• obtain a patient CGM profile including a data set of patient CGM measurements;
• compare the patient CGM profile to a finite set of motifs, the finite set of motifs including CGM profile pairs that have been transformed into labelled motifs, each labelled motif being a representation of a corresponding CGM profile pair as a single data point;
• classify the patient CGM profile into one or more clinical characteristics based on a match between the patient CGM profile and a CGM profile pair of a labelled motif;
• monitor or analyze a concentration of glucose levels of a patient based on the classification of the patient CGM profile;
• and
• generate a signal that includes a command signal to an automated control system requiring, based on the classification of the patient CGM profile:
• a determination of risk of hypo- or hyper-glycemia, change in a determination of a risk of hypo- or hyper-glycemia, a notification to check a glucose level, a modification of an insulin dosage, a modification of a basal insulin, a modification of a basal insulin rate, a modification of an insulin infusion rate, and/or a modification of patient nutritional administration.