Patent application number | Description | Published |
20090156924 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 06-18-2009 |
20090192380 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 07-30-2009 |
20090192745 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 07-30-2009 |
20090192751 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 07-30-2009 |
20100179409 | SYSTEMS AND METHODS FOR REPLACING SIGNAL ARTIFACTS IN A GLUCOSE SENSOR DATA STREAM - Systems and methods for detecting noise episodes and processing analyte sensor data responsive thereto. In some embodiments, processing analyte sensor data includes filtering the sensor data to reduce or eliminate the effects of the noise episode on the signal. | 07-15-2010 |
20120078071 | ADVANCED CONTINUOUS ANALYTE MONITORING SYSTEM - Systems and methods for processing, transmitting, and displaying data received from a continuous analyte (e.g., glucose) sensor are provided. A sensor system can comprise a sensor electronics module that includes power saving features, e.g., a low power measurement circuit that can be switched between a measurement mode and a low power mode, wherein charging circuitry continues to apply power to electrodes of a sensor during the low power mode. The sensor electronics module can be switched between a low power storage mode and a higher power operational mode via a switch, e.g., a reed switch or optical switch. A validation routine can be implemented to ensure an interrupt signal sent from the switch is valid. The sensor can be physically connected to the sensor electronics module in direct wireless communication with a plurality of different display devices. | 03-29-2012 |
20120203467 | SYSTEMS AND METHODS FOR REPLACING SIGNAL ARTIFACTS IN A GLUCOSE SENSOR DATA STREAM - Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and/or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred. | 08-09-2012 |
20120215086 | SYSTEMS AND METHODS FOR REPLACING SIGNAL ARTIFACTS IN A GLUCOSE SENSOR DATA STREAM - Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and/or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred. | 08-23-2012 |
20120215496 | SYSTEMS AND METHODS FOR REPLACING SIGNAL ARTIFACTS IN A GLUCOSE SENSOR DATA STREAM - Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and/or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred. | 08-23-2012 |
20120245448 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 09-27-2012 |
20120245855 | SYSTEMS AND METHODS FOR REPLACING SIGNAL ARTIFACTS IN A GLUCOSE SENSOR DATA STREAM - Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and/or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred. | 09-27-2012 |
20120259191 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 10-11-2012 |
20120302854 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 11-29-2012 |
20120302855 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 11-29-2012 |
20120323100 | SYSTEMS AND METHODS FOR REPLACING SIGNAL ARTIFACTS IN A GLUCOSE SENSOR DATA STREAM - Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and/or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred. | 12-20-2012 |
20130150692 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 06-13-2013 |
20130245401 | SYSTEMS AND METHODS FOR PROCESSING ANALYTE SENSOR DATA - Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously. | 09-19-2013 |
20130245981 | SYSTEMS AND METHODS FOR PROCESSING ANALYTE SENSOR DATA - Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously. | 09-19-2013 |
20130253418 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 09-26-2013 |
20140005505 | USE OF SENSOR REDUNDANCY TO DETECT SENSOR FAILURES | 01-02-2014 |
20140012117 | SYSTEMS AND METHODS FOR LEVERAGING SMARTPHONE FEATURES IN CONTINUOUS GLUCOSE MONITORING - The present embodiments harness a wide variety of capabilities of modern smartphones, and combine these capabilities with information from a continuous glucose monitor to provide diabetics and related people with more information than the continuous glucose monitor can provide by itself. The increased information provides the diabetic with an increased likelihood of good diabetes management for better health. | 01-09-2014 |
20140012118 | SYSTEMS AND METHODS FOR LEVERAGING SMARTPHONE FEATURES IN CONTINUOUS GLUCOSE MONITORING - The present embodiments harness a wide variety of capabilities of modern smartphones, and combine these capabilities with information from a continuous glucose monitor to provide diabetics and related people with more information than the continuous glucose monitor can provide by itself. The increased information provides the diabetic with an increased likelihood of good diabetes management for better health. | 01-09-2014 |
20140012510 | SYSTEMS AND METHODS FOR LEVERAGING SMARTPHONE FEATURES IN CONTINUOUS GLUCOSE MONITORING - The present embodiments harness a wide variety of capabilities of modern smartphones, and combine these capabilities with information from a continuous glucose monitor to provide diabetics and related people with more information than the continuous glucose monitor can provide by itself. The increased information provides the diabetic with an increased likelihood of good diabetes management for better health. | 01-09-2014 |
20140012511 | SYSTEMS AND METHODS FOR LEVERAGING SMARTPHONE FEATURES IN CONTINUOUS GLUCOSE MONITORING - The present embodiments harness a wide variety of capabilities of modern smartphones, and combine these capabilities with information from a continuous glucose monitor to provide diabetics and related people with more information than the continuous glucose monitor can provide by itself. The increased information provides the diabetic with an increased likelihood of good diabetes management for better health. | 01-09-2014 |
20140039383 | INTEGRATED INSULIN DELIVERY SYSTEM WITH CONTINUOUS GLUCOSE SENSOR - Systems and methods for integrating a continuous glucose sensor | 02-06-2014 |
20140052091 | INTEGRATED INSULIN DELIVERY SYSTEM WITH CONTINUOUS GLUCOSE SENSOR - Systems and methods for integrating a continuous glucose sensor | 02-20-2014 |
20140052092 | INTEGRATED INSULIN DELIVERY SYSTEM WITH CONTINUOUS GLUCOSE SENSOR - Systems and methods for integrating a continuous glucose sensor | 02-20-2014 |
20140052093 | INTEGRATED INSULIN DELIVERY SYSTEM WITH CONTINUOUS GLUCOSE SENSOR - Systems and methods for integrating a continuous glucose sensor | 02-20-2014 |
20140052094 | INTEGRATED INSULIN DELIVERY SYSTEM WITH CONTINUOUS GLUCOSE SENSOR - Systems and methods for integrating a continuous glucose sensor | 02-20-2014 |
20140052095 | INTEGRATED INSULIN DELIVERY SYSTEM WITH CONTINUOUS GLUCOSE SENSOR - Systems and methods for integrating a continuous glucose sensor | 02-20-2014 |
20140114154 | SYSTEMS AND METHODS FOR PROCESSING SENSOR DATA - Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided. | 04-24-2014 |
20140114278 | INTEGRATED INSULIN DELIVERY SYSTEM WITH CONTINUOUS GLUCOSE SENSOR - Systems and methods for integrating a continuous glucose sensor | 04-24-2014 |
20140128803 | INTEGRATED INSULIN DELIVERY SYSTEM WITH CONTINUOUS GLUCOSE SENSOR - Systems and methods for integrating a continuous glucose sensor | 05-08-2014 |
20140128837 | SYSTEMS AND METHODS FOR MANAGING GLYCEMIC VARIABILITY - Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed. | 05-08-2014 |
20140129151 | SYSTEMS AND METHODS FOR MANAGING GLYCEMIC VARIABILITY - Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed. | 05-08-2014 |
20140182350 | END OF LIFE DETECTION FOR ANALYTE SENSORS - Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values. | 07-03-2014 |
20140188402 | OUTLIER DETECTION FOR ANALYTE SENSORS - Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values. | 07-03-2014 |
20150046113 | END OF LIFE DETECTION FOR ANALYTE SENSORS - Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values. | 02-12-2015 |
20150046124 | END OF LIFE DETECTION FOR ANALYTE SENSORS - Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values. | 02-12-2015 |