Abstract: Embodiments include methods and systems for automated eating detection. Systems comprise a continuous glucose monitor (CGM), accelerometer, and processing unit. During a first time period, the processing unit receives glucose readings and a first set of acceleration readings. The processing unit identifies an eating episode if the glucose readings satisfy one or more criteria. Using the identified eating episode and first set of acceleration readings, the processing unit generates an individual model that identifies eating episodes using acceleration readings without using glucose readings. During a second time period, a processing unit uses the individual model and a second set of acceleration readings to identify a second eating episode. Some embodiments may use additional sensor types (for example, PPG or heart rate) to identify eating episodes in the first or second time period, generate the individual model, or any combination thereof.

Abstract: Embodiments represent acceleration along three orthogonal axes at two or more times as a three dimensional plot. Each point in the plot is positioned according to three coordinates, each of which is proportional to the amount of acceleration along one of the orthogonal axes at a moment in time. Some embodiments render the three dimensional plot as a three dimensional article of manufacture in which each point in the plot is represented by a volume of material. Some embodiments represent the three dimensional plot in two dimensions in a graphical interface. System embodiments may include an accelerometer, processor, output device, and a non-transitory computer readable medium storing instructions causing the processor to map points with coordinates proportional to acceleration along the respective axes to a virtual three-dimensional plot and then control the output device to render the plot in two or three dimensions.

Abstract: Embodiments include methods and systems for regulating a user's glucose levels. Systems comprise a processing unit in communication with a glucose monitor, an accelerometer, and a user interface. The glucose monitor generates glucose readings corresponding to the user's glucose levels and the accelerometer generates acceleration readings corresponding to the user's activity. The processing unit determines if the glucose readings indicate a glucose state and whether the acceleration readings indicate an activity state. If the glucose state and the activity state coincide, the processing unit sends a message to the user interface recommending a behavior that would influence the user's glucose level.

Abstract: Embodiments include methods and systems for automated eating detection. Systems comprise a continuous glucose monitor (CGM), accelerometer, and processing unit. During a first time period, the processing unit receives glucose readings and a first set of acceleration readings. The processing unit identifies an eating episode if the glucose readings satisfy one or more criteria. Using the identified eating episode and first set of acceleration readings, the processing unit generates an individual model that identifies eating episodes using acceleration readings without using glucose readings. During a second time period, a processing unit uses the individual model and a second set of acceleration readings to identify a second eating episode. Some embodiments may use additional sensor types (for example, PPG or heart rate) to identify eating episodes in the first or second time period, generate the individual model, or any combination thereof.

Abstract: Systems and methods detect steps from one or more sensed accelerometer signals. Systems comprise an accelerometer and a non-transitory computer readable medium, each of which communicates with a processor. The accelerometer is coupled to an individual and generates outputs received by the processor. The non-transitory computer readable medium stores instructions controlling the processor to perform steps of a method. The processor determines a minimum and a maximum reading for respective time periods. Counted peak heights are maxima that exceed a rest threshold. The rest threshold may be a function of the rest maximum. The processor determines a peak threshold for each time period having a counted peak height. A counted amplitude comprises the difference between the maximum reading and minimum readings of a time period in which the counted peak height exceeds the peak threshold. The processor increments a step counter when a counted amplitude exceeds an amplitude threshold.

Abstract: Systems and methods detect steps from one or more sensed accelerometer signals. Systems comprise an accelerometer and a non-transitory computer readable medium, each of which communicates with a processor. The accelerometer is coupled to an individual and generates outputs received by the processor. The non-transitory computer readable medium stores instructions controlling the processor to perform steps of a method. The processor determines a minimum and a maximum reading for respective time periods. Counted peak heights are maxima that exceed a rest threshold. The rest threshold may be a function of the rest maximum. The processor determines a peak threshold for each time period having a counted peak height. A counted amplitude comprises the difference between the maximum reading and minimum readings of a time period in which the counted peak height exceeds the peak threshold. The processor increments a step counter when a counted amplitude exceeds an amplitude threshold.