Method and apparatus for providing dervied glucose information utilizing physiological and/or contextual parameters

Abstract

Systems and methods for non-invasively determining parameters related to blood glucose are disclosed. Embodiments are disclosed wherein a wearable sensor device comprises non-invasive sensors generating various sensed data which is then utilized to determine a glucose-related parameter.

1 - 11 . (canceled) 
     
     
         12 . A system for non-invasively predicting data related to an individual's glucose levels, the system comprising:
 a wearable sensor device comprising: (i) a first physiological sensor generating data indicative of a first physiological parameter when the sensor device is worn by the individual, (ii) a second physiological sensor generating data indicative of a second physiological parameter when the sensor device is worn by the individual, wherein each of the sensors is in noninvasive contact with the individual's body, wherein the first physiological sensor generates data indicative of the individual's heart, and the second physiological sensor is an accelerometer generating data indicative of the individual's movement; and (iii) a processor in electronic communication with the first and the second physiological sensors, the processor programmed using a model that includes as selected input parameters data from the first and the second physiological sensors of the wearable sensor device, the processor programmed to utilize the data indicative of the first physiological parameter and the data indicative of the second physiological parameter to generate output comprising a prediction of the individual's blood glucose level;   wherein the processor requires only data from the first and the second physiological sensors to generate the prediction of the individual's blood glucose level.   
     
     
         13 . The system of  claim 12  wherein the data indicative of the individual's heart is heart rate. 
     
     
         14 . The system of  claim 12  wherein the data indicative of the individual's heart is heart rate variability. 
     
     
         15 . The system of claim  1 , further including a heat flux sensor generating data indicative of the rate of flow of heat off the individual's body, and wherein the processor is programmed to utilize the data from the heat flux sensor in the prediction of the individual's blood glucose level. 
     
     
         16 . The system of claim  1  wherein the model includes an algorithm that correlates an individual's invasively-measured blood glucose with the data generated by said sensor device, the sensor device being worn by the individual whose blood glucose levels are invasively-measured. 
     
     
         17 . The system of claim  1  wherein the processor is further programmed to utilize data related to the individual's food intake to generate the output comprising a prediction of the individual's blood glucose level. 
     
     
         18 . The system of claim  1  wherein the first and the second physiological sensors continuously generate data. 
     
     
         19 . A system for non-invasively predicting data related to an individual's glucose levels, the system comprising:
 a wearable sensor device comprising: (i) a first physiological sensor generating data indicative of a first physiological parameter when the sensor device is worn by the individual, and (ii) a second physiological sensor generating data indicative of a second physiological parameter when the sensor device is worn by the individual, wherein each of the sensors is in noninvasive contact with the individual's body, wherein the first physiological sensor generates data indicative of the individual's heart, and the second physiological sensor is a galvanic skin response sensor generating data indicative of the resistance of the individual's skin to an applied electric current; and (iii) a processor in electronic communication with the first and the second physiological sensors, the processor programmed using a model that includes as selected input parameters data from the first and the second physiological sensors of the wearable sensor device, the processor programmed to utilize the data indicative of the first physiological parameter and the data indicative of the second physiological parameter to generate output comprising a prediction of the individual's blood glucose level;   wherein the programmed processor requires only data from the first and the second physiological sensors to generate the prediction of the individual's blood glucose level.   
     
     
         20 . The system of  claim 19  wherein the data indicative of the individual's heart is heart rate. 
     
     
         21 . The system of  claim 19  wherein the data indicative of the individual's heart is heart rate variability. 
     
     
         22 . The system of  claim 19 , further including a heat flux sensor generating data indicative of the rate of flow of heat off the individual's body, and wherein the processor is programmed to utilize the data from the heat flux sensor in the prediction of the individual's blood glucose level. 
     
     
         23 . The system of  claim 19  wherein the processor is further programmed to utilize data related to the individual's food intake to generate the output comprising a prediction of the individual's blood glucose level. 
     
     
         24 . The system of  claim 19  wherein the first and the second physiological sensors continuously generate data.