Systems and methods for processing and transmitting sensor data

Abstract

Systems and methods for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor, are disclosed. In an embodiment, a method for transmitting data between a first communication device associated with an analyte sensor and a second communication device configured to provide user access to sensor-related information comprises: activating a transceiver of a first communication device associated with an analyte sensor at a first time; and establishing a two-way communication channel with the second communication device; wherein the activating comprises waking the transceiver from a low power sleep mode using a forced wakeup from the second communication device.

What is claimed is: 
     
         1 . A method for detecting sleep current in a sensor device using a sleep current circuit in communication with the sensor device, the method comprising:
 initiating a reduced power state for the sensor device;   providing a sleep pulse signal to a capacitor in the sleep current circuit;   measuring a charge on the capacitor in the sleep current circuit; and   comparing the charge on the capacitor to a predetermined threshold to determine if the charge on the capacitor exceeds the predetermined threshold.   
     
     
         2 . The method of  claim 1 , further comprising terminating the reduced power state for the sensor device. 
     
     
         3 . The method of  claim 2 , wherein the measuring a charge on the capacitor is performed after the reduced power state is terminated. 
     
     
         4 . The method of  claim 1 , further comprising terminating the sleep pulse signal while the sensor device is in a reduced power state. 
     
     
         5 . The method of  claim 1 , wherein the predetermined threshold is an expected charge on the capacitor that correlates with the sleep pulse signal. 
     
     
         6 . The method of  claim 1 , wherein the sleep current is unexpected current flowing within the sensor device while it is in the reduced power state, and wherein the sleep current is detected by subtracting the predetermined threshold from the charge on the capacitor. 
     
     
         7 . The method of  claim 1 , further comprising initiating an error routine if sleep current is detected. 
     
     
         8 . A method of providing an adjustable integration window, the method comprising:
 storing two or more sensor data points in a memory buffer to create an integrated data point, wherein each of the sensor data points is associated with a time stamp and the stored data points define an integration window;   receiving a reference value associated with a time stamp; and   adjusting the integration window to correspond to the time stamp for the reference value.   
     
     
         9 . The method of  claim 8 , wherein the integration window comprises two or more sensor data points taken at 30-second time intervals. 
     
     
         10 . The method of  claim 8 , wherein the integration window comprises ten sensor data points taken at 30-second time intervals. 
     
     
         11 . The method of  claim 8 , wherein the two or more sensor data points are averaged to create an integrated data point. 
     
     
         12 . The method of  claim 8 , wherein upon receipt of a new sensor data point, the sensor data point associated with an oldest time stamp stored in the memory buffer is deleted, and the sensor data points stored in the memory buffer and the new sensor data point are averaged to create an integrated data point. 
     
     
         13 . The method of  claim 8 , wherein the reference value is a blood glucose value generated by a single-point blood glucose monitor. 
     
     
         14 . The method of  claim 8 , wherein adjusting the integration window to correspond to the time stamp for the reference value comprises:
 selecting an even number of sensor data points having time stamps before and after the time stamp associated with the reference value; and   averaging the sensor data points to provide an integrated data point having a close time proximity to the time stamp associated with the reference value.   
     
     
         15 . The method of  claim 14 , wherein the time proximity of the integrated data point is within thirty seconds of the time stamp associated with the reference value. 
     
     
         16 . The method of  claim 14 , wherein the sensor data points closest in time to the time stamp for the reference value are more heavily weighted than sensor data points furthest from the time stamp for the reference value in the integration window. 
     
     
         17 . The method of  claim 14 , wherein the integrated data point is extrapolated using one or more sensor data points stored in the memory buffer. 
     
     
         18 . The method of  claim 17 , wherein the integrated data point is extrapolated to a point of 2.5 minutes in the future using five 30-second data values stored in the memory buffer. 
     
     
         19 . The method of  claim 17 , wherein the sensor data points defining the integration window are taken at a fixed time interval, wherein the fixed time interval is adjusted depending on sensor data information. 
     
     
         20 . The method of  claim 19 , wherein sensor data information comprises a glucose rate of change.